<?xml version="1.0" encoding="UTF-8" ?><!-- generator=Zoho Sites --><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><atom:link href="https://brandquantum.com/blogs/tag/ai/feed" rel="self" type="application/rss+xml"/><title>BrandQuantum - NEWS #AI</title><description>BrandQuantum - NEWS #AI</description><link>https://brandquantum.com/blogs/tag/ai</link><lastBuildDate>Thu, 30 Apr 2026 08:59:57 -0700</lastBuildDate><generator>http://zoho.com/sites/</generator><item><title><![CDATA[LEVERAGING AI IN THE BUSINESS]]></title><link>https://brandquantum.com/blogs/post/leveraging-ai-in-the-business1</link><description><![CDATA[<img align="left" hspace="5" src="https://brandquantum.com/Images/Blog Images/ITWeb_Sept.png"/>Article first published on itweb.co.za, 29 September 2020 |&nbsp; see article here While we tend to think that AI is a new technology, the concept has b ]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_00T2SeT3Tv-ZJZ8kn4vPQA" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_L7GGG6n4Qa63Eo6nv19isA" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_KdhTrBSESIWsaEW211FrBg" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"> [data-element-id="elm_KdhTrBSESIWsaEW211FrBg"].zpelem-col{ border-radius:1px; } </style><div data-element-id="elm_jkAKbSI1A2l8mhP-6CIFhw" data-element-type="imagetext" class="zpelement zpelem-imagetext BQBody "><style> [data-element-id="elm_jkAKbSI1A2l8mhP-6CIFhw"].zpelem-imagetext{ border-radius:1px; } </style><div data-size-tablet="" data-size-mobile="" data-align="center" data-tablet-image-separate="" data-mobile-image-separate="" class="zpimagetext-container zpimage-with-text-container zpimage-align-center zpimage-size-small zpimage-tablet-fallback-small zpimage-mobile-fallback-small "><figure role="none" class="zpimage-data-ref"><span class="zpimage-anchor"><picture><img class="zpimage zpimage-style-none zpimage-space-none " src="/Images/Blog%20Images/itweb-logo.jpg" size="small" alt="ITWeb Logo" data-lightbox="false" style="width:560px;"/></picture></span></figure><div class="zpimage-text zpimage-text-align-left " data-editor="true"><p style="text-align:center;"><span style="font-size:14px;"><span style="color:inherit;">Article first published on itweb.co.za, 29 September 2020 |&nbsp;<a href="https://www.itweb.co.za/content/DZQ587VPrVoqzXy2" target="_blank" rel="">see article here</a></span><br></span></p><p style="text-align:center;"><br></p><p><span style="font-size:14px;">While we tend to think that AI is a new technology, the concept has been around for many years, and its impacts are already well established in the enterprise.</span></p><p><span style="font-size:14px;">One of the earliest examples of AI in Africa is USSD on mobile phones, where businesses used programmatic language to respond to end-users, giving options and then providing an appropriate response based on input received.</span></p><p><br></p><p><span style="font-size:14px;">So says Douglas van Wyk, regional manager at Infobip, adding that, contrary to the Hollywood-informed perceptions, in reality, AI is not necessarily a walking, talking robot. It takes many forms and has many use cases and can be simple or complex depending on the application. Currently, AI is commonly used to take mundane, repetitive and low intelligence tasks away from human agents, automating them and vastly improving efficiency. This is especially useful for static information such as location&nbsp;data&nbsp;and frequently asked questions, which can easily be offered to users in a self-service manner. It is also used in predictive analytics, something that is valuable for solutions such as customer engagement.</span></p><p><br></p><p><span style="font-size:14px;">Paula Sartini, founder and CEO at BrandQuantum, says technology advancements and adoption are driving customer expectations, which are trickling from traditionally non-IT industries into a broad range of sectors such as real estate and financial services. AI is transforming the way in which companies do business, with several departments reaping the benefit of AI solutions. In addition, while AI and automation offer time- and cost-saving benefits for companies, the real benefit of these solutions lies in the ability to improve customer services. Customer experience is driving digital transformation and the customer should be central to every technology decision a company makes.</span></p><p><br></p><p><span style="font-size:14px;">“However, the technology solutions should not replace the human experience and these technologies should remove repetitive functions from employees so that they’re able to focus more attention on being strategic and meeting customer expectations. Equally important is proving tools and solutions that empower the entire organisation to deliver a consistent brand experience across every department,” adds Sartini.</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">EXPONENTIAL VOLUMES OF DATA</span></p><p><span style="font-size:14px;">According to Glenn Noome, director at Smart Integration, AI and IoT go hand in hand. “Over the next few years, we’ll see billions of&nbsp;devices&nbsp;added to the internet,&nbsp;creating&nbsp;exponential volumes of data, too much data for us to analyse and use to make proper business decisions. AI can assist here, by analysing all of this data and helping make informed decisions based on the best outcome. A simple example of this is AI built into CCTV cameras. Instead of an operator trying to focus on multiple cameras, AI will monitor footage and advise on pre-programmed events. In addition, AI could be used in law cases, where data from previous cases is analysed instantaneously and give the correct outcomes predicted. Furthermore, and importantly, in the field of medicine, robotics could potentially perform certain operations under certain circumstances using AI.”</span></p><p><br></p><p><span style="font-size:14px;">AI offers significant value to businesses, adds Kevin Dherman, SYSPRO’s chief innovation officer. “It eliminates repetitive tasks, better predicts trends, and can take action before problems occur. It also enables businesses to provide a consistent customer experience. AI and machine learning (ML) give computers the ability to make sense of and learn from data to perform specific tasks without manual interference. AI provides analysis and insights to users, addressing the large amounts of structured and unstructured business and industry data that companies increasingly need to consider as part of their decision-making process. With AI in place, interactions with customers will move from straightforward transactional models to multidimensional conversations spanning a variety of complementary channels.”</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">ADDING ANALYTICS</span></p><p><span style="font-size:14px;">When analytics is infused with AI, businesses can start to truly enhance productivity among the human workforce, adds Clinton Scott, MD at TechSoft International, adding that when analytics is augmented with AI, to automate tasks, improve workflows, and discover insights, everyone is empowered.</span></p><p><span style="font-size:14px;"><br></span></p><p><span style="font-size:14px;">&quot;Knowledge workers are already comfortable with the use of AI-led technologies and insights as a means to improve day-to-day non-technical business functions. AI is being used in financial services chatbots, in call centres and even in ad-serving software when transacting online,&quot; says Scott. &quot;But we are only scratching the surface of how AI can help when augmented with day-to-day analytics; AI can help fuel and lead massive productivity gains in business. The argument for AI-enhanced productivity in the human workforce is not a new concept, nor is augmented analytics. But they are still widely misinterpreted by businesses that are still unsure as to how best to deploy them in their organisation, or who still believe they should only be accessed by the data experts. By its very nature, augmented analytics is defined as the ability to enable technologies, such as ML and AI, being applied to data generation and, in turn, being used for better insight generation and explanation. In short, it augments people's behaviour with data, how they use and explore it, and pull this through to BI and analytics platforms. Now, when it is coupled with AI-infused analytics and ML technologies, that is where the real magic starts to happen. Augmented analytics was cited by Gartner as a top strategic trend for this year, and as harnessing and driving innovation in business. Where it starts to work is when it’s used to augment the intelligence and behaviour of multiple users to create automated insights that can then be copied and carried over to business functions, ultimately guiding favourable business outcomes.”</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">STREAMLINING AI</span></p><p><span style="font-size:14px;">So where to begin on an AI journey? For business, any AI implementation should always begin with the customer experience in mind, says Van Wyk. When you adopt this approach, the only limitations for the application of AI are human imagination, and often, more importantly, business budgets. The first and arguably the most important step in any AI implementation is to have a solid understanding of business processes, available resources, business requirements and customer needs. Once you have this, you can identify areas that can be adjusted and streamlined using AI. It’s important to remember that AI is not a one-size-fits-all approach – not every business requires 24/7 communication channels, for example, nor do all businesses require a chatbot solution. For some businesses, an SMS offering might be the most appropriate, given the needs and preferences of their customer bases. For others, webchat apps might be apt and well-received. At the end of the day, AI works best if it is channel-agnostic and offers full two-way communications. This is essential to ensure adoption rates are high and return on investment is maximised, by streamlining customer experiences. Understanding what your business needs, wants and can afford, and then investigating the best options to achieve this, is the foundation for success.</span></p><p><br></p><p><span style="font-size:14px;">The best starting point is to gain a clear understanding of your current environment and to ask the fundamental question: What do we want to achieve from AI deployment and digitisation in general? The answer will help guide your decision-making and define the way forward, says Dherman. “Once you have a good understanding of your current situation, you will be in a better position to define a clear strategy and implement a step-by-step plan of action that will support your organisation’s transformation journey.”</span></p><p><br></p><p><span style="font-size:14px;">Sartini believes AI can be a mammoth task to implement and requires the right foundation for it to be successful. The key to implementing successful AI solutions lies in the company data. “A key challenge to avoid in implementing AI is data silos. For AI to be successful, data needs to be combined to prevent duplication and avoid data drift, which occurs from using outdated or inaccurate data. Getting through this data is the biggest challenge to putting the right foundation in place for AI to succeed. As such, companies need to start with a data refinery that collects and sorts through all the data before implementing an AI solution. Another challenge companies face is opting for AI initiatives that offer the greatest potential for the business without considering the requirements to get to the big prize. AI requires slow and steady progression for it to be successful and companies need to meet several technology and regulatory requirements before they can fully implement AI solutions. As such, companies should adopt a phased approach to AI, starting with automation and moving up towards AI solutions focusing on the short-term gains that each solution offers in the journey towards AI.</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">POSSIBLE PITFALLS</span></p><p><span style="font-size:14px;">AI is really only as effective as the communication channel it’s deployed on, so this needs to be considered too, says Van Wyk. Businesses must look at how they can enable AI on the channels they are already using, for example, SMS, voice or email. If innovation and two-way conversations are required, then businesses need to look at how they will gear to migrate to an alternate channel. A major pain point when it comes to AI is data. AI is about an answer and response mechanism, which is built on a foundation of data. In order to provide appropriate responses and a useful two-way communication channel via AI, the underlying data needs to be up to the job, and built to enable interpretation so that AI can provide a meaningful response. Nothing is more frustrating to customers than a bot that is unable to do so, and poor customer experience will result in low adoption rates, which minimise the return on investment.</span></p><p><span style="font-size:14px;">It should enable people at different levels in the organisation to engage with AI and receive various levels of data intelligence without them needing to be data scientists. Unless you understand and can extract value from the data, AI will be meaningless. Traditional report writers and data analysts will need to be upskilled in the art of AI, as this is a new paradigm of thinking. While current reports tell you about the business as it is, AI will tell you what the business should be, in order to be profitable, and productive, Dherman adds.</span></p><p><br></p><p><span style="font-size:14px;">Speaking of the possible pitfalls of AI, Van Wyk says without an effective AI system, a business will frustrate its customers. “If you haven’t planned the AI experience well and executed it properly, your investment will be wasted and adoption rates will be poor. It’s essential to always have the option to transfer to a human being. It’s important to cherry-pick processes to migrate to AI as it is suited to tasks that are particularly predictable, mundane and repetitive. Once an AI system is implemented, it needs to be maintained, updated and continuously optimised. It’s also prudent not to implement AI if it’s not necessary or will not deliver any benefits. Implementing any technology for technology’s sake will inevitably result in unnecessary challenges. Talk to your customers, find out if they would actually use an AI system, and make an informed decision as to whether this is something your business needs or not. As the saying goes, if it ain’t broke, don’t fix it.”</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">SERVICE DESIGN</span></p><p><span style="font-size:14px;">For Sartini, one of the dangers of implementing AI is the potential emotional impact on staff and customers. “It’s a well-established result in social psychology that when people feel anxious, they seek advice from others. Increasingly, AI is being implemented in high-anxiety settings (such as financial services, healthcare, and education).</span></p><p><span style="font-size:14px;">“Giving customers the potential to be able to interact ‘with a human’ has been shown to reduce anxiety and increase customer satisfaction and trust, even though the majority of customers will not necessarily exercise this option. Knowing that human contact is readily available is important for anxious customers and should be incorporated into the service design when looking at implementing AI for service delivery.</span></p><p><br></p><p><span style="font-size:14px;">Dherman believes that ethics needs to be a consideration, too. “In fact, some researchers believe that AI should hold itself accountable. If AI is used to simply augment human ability, and not replace it, fears around the ‘robot revolution’ can be pacified.”&nbsp;</span><span style="font-size:14px;">Of course, no AI conversation can be had without discussing whether it will take away jobs or create new ones. According to Gartner, AI-related job creation will reach two million net-new jobs in 2025. “Although AI will replace some jobs, I believe it’s more likely that AI will augment human ability. In other words, AI will assist humans to do their jobs better. For example, chatbots or ‘digital citizens’ have enabled or augmented human ability by allowing manufacturing businesses to make decisions much faster. What is important is the fact that the chatbot is not replacing the human element in customer service, but rather adding value by offering customers a 24/7 touchpoint. Technology is simply enhancing human abilities in order to place the customer at the centre of a business,” says Dherman.</span></p><p><span style="font-size:14px;"><br></span></p><p><span style="font-size:14px;">The beauty of AI is that it doesn’t get tired, it won’t have bad days, and it won’t make decisions based on emotion, ends Noome. “AI will definitely increase productivity because it can work 24/7, 365 days a year. The other side of the coin though is that we should be encouraging human contact and not limiting it any further by technology. My ideal scenario then is that we see humans at the front-end and AI operating in the back-end; humans must keep connecting with each other.”</span></p><p><span style="color:inherit;"></span></p><p>&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</p></div>
</div></div></div></div></div></div></div> ]]></content:encoded><pubDate>Mon, 16 Nov 2020 21:38:02 -0500</pubDate></item><item><title><![CDATA[LEVERAGING AI IN THE BUSINESS]]></title><link>https://brandquantum.com/blogs/post/leveraging-ai-in-the-business</link><description><![CDATA[<img align="left" hspace="5" src="https://brandquantum.com/Images/Blog Images/Blog Covers September/Brainstorm_Sept.png"/>While some might think that AI is a new technology, the concept has been around for many years, and its impacts are already well established in the enterprise.]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_Brmn2_x-T9O2w5VVFWOhgQ" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_jtFgyEhuT2mpsIa_wxo7eg" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_E5M2vscdTRmtjBiJxVz3GA" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"></style><div data-element-id="elm_mrOm7CGemzOsqAdybpJ5zA" data-element-type="imagetext" class="zpelement zpelem-imagetext BQBody "><style> [data-element-id="elm_mrOm7CGemzOsqAdybpJ5zA"].zpelem-imagetext{ border-radius:1px; } </style><div data-size-tablet="" data-size-mobile="" data-align="center" data-tablet-image-separate="" data-mobile-image-separate="" class="zpimagetext-container zpimage-with-text-container zpimage-align-center zpimage-size-medium zpimage-tablet-fallback-medium zpimage-mobile-fallback-medium hb-lightbox " data-lightbox-options="
            type:fullscreen,
            theme:dark"><figure role="none" class="zpimage-data-ref"><span class="zpimage-anchor" role="link" tabindex="0" aria-label="Open Lightbox" style="cursor:pointer;"><picture><img class="zpimage zpimage-style-none zpimage-space-none " src="/Images/Blog%20Images/Brainstorm-logo-2016-black.png" size="medium" alt="ITWeb Brainstorm Logo" data-lightbox="true"/></picture></span></figure><div class="zpimage-text zpimage-text-align-left " data-editor="true"><p><br></p><p style="text-align:center;"><span style="font-size:12px;">Article originally published on www.brainstorm.co.za 8 September 2020 |&nbsp;<a href="http://www.brainstormmag.co.za/technology/15039-leveraging-ai-in-the-business" target="_blank" rel="">see article here</a></span></p><p><span style="color:inherit;"></span></p><div style="text-align:center;"><span style="font-size:12px;"><br></span></div><p><span style="font-size:14px;">While some might think that AI is a new technology, the concept has been around for many years, and its impacts are already well established in the enterprise.<br></span></p><p><span style="font-size:14px;"><br></span></p><p><span style="font-size:14px;">One of the earliest examples of AI in Africa is USSD on mobile phones, where businesses used programmatic language to respond to end-users, giving options and then providing an appropriate response based on input received.</span></p><p><span style="font-size:14px;"><br></span></p><p><span style="font-size:14px;">So says Douglas van Wyk, regional manager at Infobip, adding that, contrary to the Hollywood-informed perceptions, in reality, AI is not necessarily a walking, talking robot. It takes many forms and has many use cases and can be simple or complex depending on the application. Currently, AI is commonly used to take mundane, repetitive and low intelligence tasks away from human agents, automating them and vastly improving efficiency. This is especially useful for static information such as location data and frequently asked questions, which can easily be offered to users in a self-service manner. It is also used in predictive analytics, something that is valuable for solutions such as customer engagement.</span></p><p><br></p><p><span style="font-size:14px;">Paula Sartini, founder and CEO at BrandQuantum, says technology advancements and adoption are driving customer expectations, which are trickling from traditionally non-IT industries into a broad range of sectors such as real estate and financial services. AI is transforming the way in which companies do business, with several departments reaping the benefit of AI solutions. In addition, while AI and automation offer time- and cost-saving benefits for companies, the real benefit of these solutions lies in the ability to improve customer services. Customer experience is driving digital transformation and the customer should be central to every technology decision a company makes.</span></p><p><br></p><p><span style="font-size:14px;">“However, the technology solutions should not replace the human experience and these technologies should remove repetitive functions from employees so that they’re able to focus more attention on being strategic and meeting customer expectations. Equally important is proving tools and solutions that empower the entire organisation to deliver a consistent brand experience across every department,” adds Sartini.</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">EXPONENTIAL VOLUMES OF DATA</span></p><p><span style="font-size:14px;">According to Glenn Noome, director at Smart Integration, AI and IoT go hand in hand. “Over the next few years, we’ll see billions of devices added to the internet, creating exponential volumes of data, too much data for us to analyse and use to make proper business decisions. AI can assist here, by analysing all of this data and helping make informed decisions based on the best outcome. A simple example of this is AI built into CCTV cameras. Instead of an operator trying to focus on multiple cameras, AI will monitor footage and advise on pre-programmed events. In addition, AI could be used in law cases, where data from previous cases is analysed instantaneously and give the correct outcomes predicted. Furthermore, and importantly, in the field of medicine, robotics could potentially perform certain operations under certain circumstances using AI.”</span></p><p><br></p><p><span style="font-size:14px;">AI offers significant value to businesses, adds Kevin Dherman, SYSPRO’s chief innovation officer. “It eliminates repetitive tasks, better predicts trends, and can take action before problems occur. It also enables businesses to provide a consistent customer experience. AI and machine learning (ML) give computers the ability to make sense of and learn from data to perform specific tasks without manual interference. AI provides analysis and insights to users, addressing the large amounts of structured and unstructured business and industry data that companies increasingly need to consider as part of their decisionmaking process. With AI in place, interactions with customers will move from straightforward transactional models to multidimensional conversations spanning a variety of complementary channels.”</span></p><p><br></p><p><span style="font-size:14px;">When analytics is infused with AI, businesses can start to truly enhance productivity among the human workforce, adds Clinton Scott, MD at TechSoft International, adding that when analytics is augmented with AI, to automate tasks, improve workflows, and discover insights, everyone is empowered.</span></p><p><br></p><p><span style="font-size:14px;">“Knowledge workers are already comfortable with the use of AI-led technologies and insights as a means to improve day-today non-technical business functions. AI is being used in financial services chatbots, in call centres and even in ad-serving software when transacting online,” says Scott. “But we are only scratching the surface of how AI can help when augmented with day-to- day analytics; AI can help fuel and lead massive productivity gains in business. The argument for AI-enhanced productivity in the human workforce is not a new concept, nor is augmented analytics. But they are still widely misinterpreted by businesses that are still unsure as to how best to deploy them in their organisation, or who still believe they should only be accessed by the data experts. By its very nature, augmented analytics is defined as the ability to enable technologies, such as ML and AI, being applied to data generation and, in turn, being used for better insight generation and explanation.</span></p><p><br></p><p><span style="font-size:14px;">In short, it augments people’s behaviour with data, how they use and explore it, and pull this through to BI and analytics platforms. Now, when it is coupled with AI-infused analytics and ML technologies, that is where the real magic starts to happen. Augmented analytics was cited by Gartner as a top strategic trend for this year, and as harnessing and driving innovation in business. Where it starts to work is when it’s used to augment the intelligence and behaviour of multiple users to create automated insights that can then be copied and carried over to business functions, ultimately guiding favourable business outcomes.”</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">STREAMLINING AI</span></p><p><span style="font-size:14px;">So where to begin on an AI journey? For business, any AI implementation should always begin with the customer experience in mind, says Van Wyk. When you adopt this approach, the only limitations for the application of AI are human imagination, and often, more importantly, business budgets. The first and arguably the most important step in any AI implementation is to have a solid understanding of business processes, available resources, business requirements and customer needs. Once you have this, you can identify areas that can be adjusted and streamlined using AI. It’s important to remember that AI is not a one-size-fits-all approach – not every business requires 24/7 communication channels, for example, nor do all businesses require a chatbot solution. For some businesses, an SMS offering might be the most appropriate, given the needs and preferences of their customer bases. For others, webchat apps might be apt and well-received. At the end of the day, AI works best if it is channel-agnostic and offers full two-way communications. This is essential to ensure adoption rates are high and return on investment is maximised, by streamlining customer experiences. Understanding what your business needs, wants and can afford, and then investigating the best options to achieve this, is the foundation for success.</span></p><p><br></p><p><span style="font-size:14px;">The best starting point is to gain a clear understanding of your current environment and to ask the fundamental question: What do we want to achieve from AI deployment and digitisation in general? The answer will help guide your decision-making and define the way forward, says Dherman. “Once you have a good understanding of your current situation, you will be in a better position to define a clear strategy and implement a step-by-step plan of action that will support your organisation’s transformation journey.”</span></p><p><br></p><p><span style="font-size:14px;">Sartini believes AI can be a mammoth task to implement and requires the right foundation for it to be successful. The key to implementing successful AI solutions lies in the company data. “A key challenge to avoid in implementing AI is data silos. For AI to be successful, data needs to be combined to prevent duplication and avoid data drift, which occurs from using outdated or inaccurate data. Getting through this data is the biggest challenge to putting the right foundation in place for AI to succeed. As such, companies need to start with a data refinery that collects and sorts through all the data before implementing an AI solution. Another challenge companies face is opting for AI initiatives that offer the greatest potential for the business without considering the requirements to get to the big prize. AI requires slow and steady progression for it to be successful and companies need to meet several technology and regulatory requirements before they can fully implement AI solutions. As such, companies should adopt a phased approach to AI, starting with automation and moving up towards AI solutions focusing on the short-term gains that each solution offers in the journey towards AI.</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">POSSIBLE PITFALLS</span></p><p><span style="font-size:14px;">AI is really only as effective as the communication channel it’s deployed on, so this needs to be considered too, says Van Wyk. Businesses must look at how they can enable AI on the channels they are already using, for example, SMS, voice or email. If innovation and two-way conversations are required, then businesses need to look at how they will gear to migrate to an alternate channel. A major pain point when it comes to AI is data. AI is about an answer and response mechanism, which is built on a foundation of data. In order to provide appropriate responses and a useful two-way communication channel via AI, the underlying data needs to be up to the job, and built to enable interpretation so that AI can provide a meaningful response. Nothing is more frustrating to customers than a bot that is unable to do so, and poor customer experience will result in low adoption rates, which minimise the return on investment. It should enable people at different levels in the organisation to engage with AI and receive various levels of data intelligence without them needing to be data scientists. Unless you understand and can extract value from the data, AI will be meaningless.</span></p><p><br></p><p><span style="font-size:14px;">Traditional report writers and data analysts will need to be upskilled in the art of AI, as this is a new paradigm of thinking. While current reports tell you about the business as it is, AI will tell you what the business should be, in order to be profitable, and productive, Dherman adds. Speaking of the possible pitfalls of AI, Van Wyk says without an effective AI system, a business will frustrate its customers. “If you haven’t planned the AI experience well and executed it properly, your investment will be wasted and adoption rates will be poor. It’s essential to always have the option to transfer to a human being. It’s important to cherrypick processes to migrate to AI as it is suited to tasks that are particularly predictable, mundane and repetitive. Once an AI system is implemented, it needs to be maintained, updated and continuously optimised. It’s also prudent not to implement AI if it’s not necessary or will not deliver any benefits. Implementing any technology for technology’s sake will inevitably result in unnecessary challenges. Talk to your customers, find out if they would actually use an AI system, and make an informed decision as to whether this is something your business needs or not. As the saying goes, if it ain’t broke, don’t fix it.”</span></p><p><br></p><p><span style="font-size:24px;color:rgb(0, 172, 201);">SERVICE DESIGN</span></p><p><span style="font-size:14px;">For Sartini, one of the dangers of implementing AI is the potential emotional impact on staff and customers. “It’s a well-established result in social psychology that when people feel anxious, they seek advice from others. Increasingly, AI is being implemented in high-anxiety settings (such as financial services, healthcare, and education).</span></p><p><br></p><p><span style="font-size:14px;">“Giving customers the potential to be able to interact ‘with a human’ has been shown to reduce anxiety and increase customer satisfaction and trust, even though the majority of customers will not necessarily exercise this option. Knowing that human contact is readily available is important for anxious customers and should be incorporated into the service design when looking at implementing AI for service delivery.</span></p><p><br></p><p><span style="font-size:14px;">Dherman believes that ethics need to be a consideration, too. “In fact, some researchers believe that AI should hold itself accountable. If AI is used to simply augment human ability, and not replace it, fears around the ‘robot revolution’ can be pacified.”</span></p><p><br></p><p><span style="color:rgb(0, 172, 201);font-size:24px;">DIGITAL CITIZENS</span></p><p><span style="font-size:14px;">Of course, no AI conversation can be had without discussing whether it will take away jobs or create new ones. According to Gartner, AI-related job creation will reach two million net-new jobs in 2025. “Although AI will replace some jobs, I believe it’s more likely that AI will augment human ability. In other words, AI will assist humans to do their jobs better. For example, chatbots or ‘digital citizens’ have enabled or augmented human ability by allowing manufacturing businesses to make decisions much faster. What is important is the fact that the chatbot is not replacing the human element in customer service, but rather adding value by offering customers a 24/7 touchpoint. Technology is simply enhancing human abilities in order to place the customer at the centre of a business,” says Dherman.</span></p><p><br></p><p><span style="font-size:14px;">The beauty of AI is that it doesn’t get tired, it won’t have bad days, and it won’t make decisions based on emotion, says Noome. “AI will definitely increase productivity because it can work 24/7, 365 days a year. The other side of the coin though is that we should be encouraging human contact and not limiting it any further by technology. My ideal scenario then is that we see humans at the front-end and AI operating in the backend; humans must keep connecting with each other.”</span></p><p><span style="font-size:14px;"><span style="color:inherit;"></span></span></p><p></p><p>&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;</p></div>
</div></div></div></div></div></div></div> ]]></content:encoded><pubDate>Fri, 06 Nov 2020 05:33:41 -0500</pubDate></item><item><title><![CDATA[THE ROAD TO AI IN MARKETING]]></title><link>https://brandquantum.com/blogs/post/the-road-to-ai-in-marketing1</link><description><![CDATA[Artificial Intelligence (AI) can bring great benefits to businesses across various industries. Already companies such as Google and Microsoft have invested significantly in this technology and are benefiting from it.]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_nmPjgEw8TyCIATjX4-mOWw" data-element-type="section" class="zpsection "><style type="text/css"> [data-element-id="elm_nmPjgEw8TyCIATjX4-mOWw"].zpsection{ border-radius:1px; } </style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_oNr7nwB3RkWsxClaEZneSQ" data-element-type="row" class="zprow zprow-container zpalign-items-center zpjustify-content-center " data-equal-column=""><style type="text/css"> [data-element-id="elm_oNr7nwB3RkWsxClaEZneSQ"].zprow{ border-radius:1px; } </style><div data-element-id="elm_DXfRaJVfRNeReh-8_Z3zGg" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"> [data-element-id="elm_DXfRaJVfRNeReh-8_Z3zGg"].zpelem-col{ border-radius:1px; } </style><div data-element-id="elm_uva6-iC6FtzuZp85NEURxw" data-element-type="image" class="zpelement zpelem-image BQ1 "><style> [data-element-id="elm_uva6-iC6FtzuZp85NEURxw"] .zpimage-container[class*='zpimage-overlay-effect-'] figure:hover figcaption , [data-element-id="elm_uva6-iC6FtzuZp85NEURxw"] .zpimage-container[class*='zpimage-overlay-effect-'] figure figcaption { background:rgba(0,172,201,0.15) ; } [data-element-id="elm_uva6-iC6FtzuZp85NEURxw"] .zpimage-container figure figcaption .zpimage-caption-content { font-size:16px; letter-spacing:1px; } [data-element-id="elm_uva6-iC6FtzuZp85NEURxw"].zpelem-image { border-radius:1px; } </style><div data-caption-color="" data-size-tablet="" data-size-mobile="" data-align="center" data-tablet-image-separate="" data-mobile-image-separate="" class="zpimage-container zpimage-align-center zpimage-size-fit zpimage-tablet-fallback-fit zpimage-mobile-fallback-fit zpimage-overlay zpimage-overlay-effect-static-bottom hb-lightbox " data-lightbox-options="
                type:fullscreen,
                theme:dark"><figure role="none" class="zpimage-data-ref"><span class="zpimage-anchor" role="link" tabindex="0" aria-label="Open Lightbox" style="cursor:pointer;"><picture><img class="zpimage zpimage-style-none zpimage-space-none " src="/Images/Blog%20Images/Blog%20Covers%20May%20June%202020/2%20June%20thin.png" size="fit" data-lightbox="true" style="width:100%;padding:0px;margin:0px;"/></picture></span><figcaption class="zpimage-caption zpimage-caption-align-center"><span class="zpimage-caption-content"></span></figcaption></figure></div>
</div><div data-element-id="elm_YR-s0imLzJ2ognfp1Qbo0A" data-element-type="text" class="zpelement zpelem-text BQBody "><style> [data-element-id="elm_YR-s0imLzJ2ognfp1Qbo0A"].zpelem-text { border-radius:1px; } </style><div class="zptext zptext-align-left " data-editor="true"><p style="text-align:justify;font-size:16px;"><span>Artificial Intelligence (AI) can&nbsp;</span>bring great benefits to businesses across various industries. Already companies such as Google and Microsoft have invested significantly in this technology and are benefiting from it. However, companies that don’t have AI solutions in place yet don’t need to rush off too quickly to implement it in an effort to catch up. However, they should start planning for AI as to not fall too far behind the curve.</p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;"><br></span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;"><span style="font-size:16px;">Marketing departments in particular stand to gain vast benefit from using AI, most notably in their ability to deliver consistent experiences and exceed customer expectations. However many marketers are cautious in adopting new technologies, and as AI can be a massive task to implement, marketers stand to benefit from easing into the process of AI adoption by following the steps below.</span></span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;"><br></span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:24px;color:rgb(0, 172, 201);">START WITH AUTOMATION</span></p><p style="text-align:justify;font-size:16px;">Automation software enables marketers to automate repetitive tasks such as applying the correct branding to company documents. Whilst these are important tasks, they can impact on productivity and detract employees from focusing on more pressing matters within the business. This is supported by research conducted by McKinsey<a href="https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/four-fundamentals-of-workplace-automation" target="_blank">[1]</a>&nbsp;which found that 45 percent of work activities can be automated by implementing technology solutions. With automation, companies will benefit from cost savings, improved productivity and improved reliability. [1] which found that 45 percent of work activities can be automated by implementing technology solutions. With automation, companies will benefit from cost savings, improved productivity and improved reliability.&nbsp;</p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;"><br></span></p><p style="text-align:justify;font-size:16px;">Before implementing brand automation, marketers need to conduct a brand audit to determine how the brand compares to its competition, what the brand strengths are, how customers interact with the brand and where the key customer touchpoints are. It is important to look broadly beyond a specific department and include the “messy and complex” things too as this is often the stuff that no-one wants to do but that will provide the most valuable insights. For example, marketers may suggest that email signatures are the responsibility of the IT department, however, customers don’t discriminate between the internal departments within a company, they expect their needs to be met and view the organisation as a whole regardless of who they engage with. As such every element of the brand should be audited.</p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;"><br></span></p><p style="text-align:justify;font-size:16px;">Once you have conducted a brand audit, the next step is to determine which functions can be automated. These are the functions that require a time investment from staff but deliver minimal return on the investment. For example, complex customer requests should be handled by employees but if a customer is calling for a statement, this process could be automated to free up employees to handle the more challenging customer issues. The most important thing to remember when automating tasks is that customers are often looking for human interaction, particularly when dealing with sensitive or complex issues. In the case of the customer experience, companies need to get the balance right between what can be automated and what should be handled by employees. Ultimately the best approach is to remove human intervention from the repetitive and menial tasks in order to free them up to handle the more important and complex functions that make the real difference to customers and ultimately build the brand. Once these function have been identified the next step is to identify patterns within customer engagement by analysing the data.</p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;color:rgb(0, 172, 201);"><br></span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:24px;color:rgb(0, 172, 201);">MOVING BEYOND AUTOMATION</span></p><p style="text-align:justify;font-size:16px;">For many years marketers have been collecting customer data but haven’t been able to use it effectively until now. With a mountain of data, combined with established parameters, technology is able to move beyond mere automation to bring marketers intelligent and intuitive offerings. For example, in the case of email, employees could select predeveloped content to drop into emails they send to customers. Initially this would require these employees to make decisions in terms of which content to select, however, over time the technology would become intelligent and intuitive and combining the data with usage patterns, it would simplify the process even further for users by automatically inserting the correct content for the recipient.</p><p style="text-align:justify;font-size:16px;">However, marketers should also pay attention to unstructured data as this is where the real magic lies. By identifying patterns in unstructured data, you’ll be able to find opportunities to innovate and identify real behaviours rather than rely on what people say they are doing. With greater insight into who your customers are, and a clearer understanding of their needs, it is easier for employees to engage with them using relevant, personalised information, sent at the right time and improving the overall customer experience.</p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;"><br></span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:24px;color:rgb(0, 172, 201);">INTRODUCING AI TOOLS</span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;">Once marketers have become comfortable using these technologies, the next step would be to assess their business needs to determine which AI applications are the best suited to meet their specific needs. There are several AI solutions available and marketers should be cautious not to implement AI for AI’s sake but rather determine which solutions are best suited to help them achieve their business objectives. It is also important that you consider the legacy systems within the organisation as this can often be a stumbling block to implementing new technologies. Marketers need to clearly articulate their requirements and collaborate with the IT department to implement solutions that meet the business needs.</span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;"><br></span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;">The most imminent AI solutions available for marketers include anticipating future customer purchases and presenting offers accordingly, improving media buying, monitoring social media comments to determine brand affinity and tailoring promotions. However, this is only the tip of the iceberg in terms of what AI can bring to the marketing table. With the correct data combined with the right AI solutions, marketers are able to gain greater insight into customer sentiment and behaviour to more proactively plan and target campaigns that deliver the best results and enhance the customer experience across every customer touchpoint. &nbsp;</span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:14px;color:rgb(0, 172, 201);"><br></span></p><p style="text-align:justify;font-size:16px;"><span style="font-size:24px;color:rgb(0, 172, 201);">GET STARTED NOW</span></p><p style="text-align:justify;font-size:16px;">There is no doubt that AI brings about some uncertainty with the promise of great things for marketers and business. While still in its infancy, this is the time for marketers to slowly start implementing technologies that lay the foundation for AI at a later stage. Marketers should start getting familiar with automation technology and determine exactly what they expect from AI technology before making the leap and introducing AI solutions into the organisation.</p><p style="text-align:justify;font-size:16px;"><br></p><p style="text-align:justify;font-size:16px;">While it can be tempting to jump in head first, by adopting a slow and steady approach to AI implementation, they will be setting themselves up for success in the long-term. But the time to start is now.</p><p style="font-size:16px;"></p><div style="font-size:16px;"></div><p style="font-size:16px;"></p><p style="font-size:16px;"></p><div style="font-size:16px;"></div><p style="font-size:16px;"></p><p style="font-size:16px;"></p><div style="font-size:16px;"></div><p style="font-size:16px;"></p><p style="font-size:16px;"></p><div style="font-size:16px;"></div><p><span style="color:inherit;"></span></p><div><div style="text-align:justify;"><br></div><hr align="left" size="1" width="33%" style="text-align:justify;font-size:16px;"><div style="font-size:16px;"><p style="text-align:justify;"><span style="font-size:10pt;">[1]</span><a href="https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/four-fundamentals-of-workplace-automation">https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/four-fundamentals-of-workplace-automation</a></p></div></div></div>
</div></div></div></div></div></div> ]]></content:encoded><pubDate>Mon, 01 Jun 2020 02:54:55 -0500</pubDate></item><item><title><![CDATA[MODERN MARKETING | WILL THE DIVISION BETWEEN MARKETING AND IT CONTINUE IN 2020?]]></title><link>https://brandquantum.com/blogs/post/modern-marketing-will-the-division-between-marketing-and-it-continue-in-2020</link><description><![CDATA[<img align="left" hspace="5" src="https://brandquantum.com/Images/Blog Images/Will the great divide contine.PNG"/>Article first published on modernmarketing.co.za, written by BrandQuantum, 9 January 2019 | see article here ]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_Ee9x4548R4yxJ-dA6Zt94w" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_FXWCzGDQR0uwJIGBfDn9zQ" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_65Yhey40S2GSWRo1eZrjFA" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"></style><div data-element-id="elm_fvsLopRqk5ad7u2FARR-oQ" data-element-type="imagetext" class="zpelement zpelem-imagetext BQBody "><style> [data-element-id="elm_fvsLopRqk5ad7u2FARR-oQ"].zpelem-imagetext{ border-radius:1px; } </style><div data-size-tablet="size-original" data-size-mobile="size-original" data-align="center" data-tablet-image-separate="" data-mobile-image-separate="" class="zpimagetext-container zpimage-with-text-container zpimage-align-center zpimage-size-medium zpimage-tablet-fallback-medium zpimage-mobile-fallback-medium "><figure role="none" class="zpimage-data-ref"><a class="zpimage-anchor" href="https://modernmarketing.co.za/will-the-division-between-marketing-and-it-continue-in-2020/" target="" title="Modern Marketing Will the divison between marketing and IT continue in 2020" rel=""><picture><img class="zpimage zpimage-style-none zpimage-space-none " src="/Images/Blog%20Images/Modern%20Marketing%20Logo.png" size="medium" alt="Modern Marketing Will the division between marketing and IT continue in 2020?" data-lightbox="false" style="width:1146px;padding:0px;margin:0px;"/></picture></a></figure><div class="zpimage-text zpimage-text-align-left " data-editor="true"><p style="text-align:center;"><span style="font-size:14px;">Article first published on modernmarketing.co.za, written by BrandQuantum, 9 January 2019 |<a href="https://modernmarketing.co.za/will-the-division-between-marketing-and-it-continue-in-2020/" title=" see article here" target="_blank"> see article here</a></span></p></div>
</div></div><div data-element-id="elm_6AdfLCNMRxqOxIIVUr0UUw" data-element-type="text" class="zpelement zpelem-text BQBody "><style> [data-element-id="elm_6AdfLCNMRxqOxIIVUr0UUw"].zpelem-text { border-radius:1px; } </style><div class="zptext zptext-align-left " data-editor="true"><p>To meet customer expectations, IT needs to be included in the marketing department’s plans and aid in delivering the customer experience at every touchpoint along the customer journey. However, while there is much hype around the benefits of technology and marketing working together, there continues to be a great divide between these departments. And yet when marketing and technology come together to achieve a common goal, they can achieve great things and drive business success, states Paula Sartini, founder and CEO of <a href="/" title="BrandQuantum" rel="">BrandQuantum</a>.</p><p>&nbsp;</p><p>Business confidence across the country declined throughout 2019 on the back of the tough economic climate which is expected to continue in 2020. The need to win customers and gain their trust against increasing competition is a key challenge for most companies. As such, customer experience is growing in importance as a key differentiator for companies to attract and retain customers, particularly within a tough economy.</p><p>&nbsp;</p><p><span style="color:rgb(0, 172, 201);font-size:24px;"><span>CUSTOMER EXPERIENCE MELDS MARKETING AND TECHNOLOGY</span></span></p><p>Customer experience has previously been the marketing department’s responsibility, however, new technologies such as automation and artificial intelligence can transform the delivery of customer experience. This creates the opportunity for the IT department and marketing department to work together to achieve a unified goal of delivering customer experiences that meet and exceed tech-savvy customer’s expectations.</p><p>&nbsp;</p><p>Both departments offer a diverse range of strengths to organisations. Marketing departments bring a creative and customer focused approach, whilst IT provide both a technical and problem-solving perspective. At the same time, marketing is often seen to want to adopt the latest technologies while IT is focused on governance, security and enterprise architecture. Both of these are critical to the success of a company. As customers are starting to hold companies accountable for keeping their data secure, the role of IT and marketing need to align to meet customer expectations in terms of customer experience as well as in keeping their personal information secure from potential data breaches.</p><p>&nbsp;</p><p><span style="font-size:24px;color:rgb(0, 172, 201);">SURVIVING A RECESSION WITH THE HELP OF TECHNOLOGY</span></p><p>The role of technology continues to grow in importance across organisations of all sizes. However, while companies recognise the benefits that technology can bring to various departments, the organisation and the customer experience, in many instances, adoption of these technologies has been slow.</p><p>&nbsp;</p><p>Yet, technology is a critical component to helping companies overcome several business challenges, including helping companies to overcome the impact of a recession. According to research findings published in Harvard Business Review, recessions can create performance gaps between companies, but investing in digital technology before a recession provides analytics and agile business practices to help companies better understand the threat they face and respond more quickly to market changes. Based on the findings, companies that invested in technology outperformed those that did not during a recession.</p><p>&nbsp;</p><p>There are several factors attributed to the role technology plays in helping companies overcome the impact of a recession. Firstly, technology provides access to data that gives companies the ability to make decisions to meet their customer’s needs. The technology solutions also provide companies with the flexibility they need to adapt to the environment and respond to their customers with tailored solutions. Technology also aids in cost-cutting, which helps the company to save money when it matters the most.</p><p>&nbsp;</p><p>Many of these benefits can spill over into marketing departments, for example, giving marketers access to the right data enables them to make decisions to meet their customer’s needs. They would also benefit from the flexibility that technology allows in adapting to the environment, helping them to develop or change campaigns according to the market.</p><p>&nbsp;</p><p>However, in many instances, marketers have collected customer data for several years, but have not had access to the tools needed to extract and interpret this data. This is where marketing and IT should be working together more closely to improve marketing insights and close the loop on the customer experience.</p><p>&nbsp;</p><p><span style="font-size:24px;color:rgb(0, 172, 201);">DELIVERING THE CUSTOMER EXPERIENCE</span></p><p>The customer experience is a key focus for the marketing department. However, marketers are unable to deliver customer experiences in isolation. With tech-savvy customers, marketing departments are becoming more reliant on IT departments to develop technology solutions for customers to interact with the company at a time and on a platform that is convenient to them. This experience needs to align with the overall brand experience and requires insights from the marketing department to achieve this.</p><p>&nbsp;</p><p>More broadly, marketers require the support of the entire organisation to meet customer expectations at every touchpoint across the customer journey. This means that the marketing department needs to implement technology solutions that help employees to deliver experiences aligned to the brand in every customer engagement.</p><p>&nbsp;</p><p>According to a report from Forrester, businesses often deploy technologies that aren’t aligned to their business strategies and do not understand how these technologies affect customer journeys. Ultimately, the consumer experience strategy should be central to technology purchasing decisions. The marketing department needs to implement solutions that will help employees across the organisation to deliver consistent brand experiences in every customer interaction.</p><p>&nbsp;</p><p>This will remove pressure on the marketing department to play the role of brand police, give marketers peace of mind that the correct information is being sent to customers and empower employees to meet customer expectations in every interaction. However, marketers also stand to benefit from implementing automation technologies to streamline their functions and help improve efficiencies.</p><p>&nbsp;</p><p><span style="font-size:24px;color:rgb(0, 172, 201);">AUTOMATING MARKETING FUNCTIONS</span></p><p>Marketers have a strategic role to play within organisations but are often chasing the next deadline or working on name tags and invitations for an upcoming event. These repetitive tasks can keep marketing departments bogged down in the finer detail and detract them focusing on the broader strategy of the department and the organisation.</p><p>&nbsp;</p><p>In some instances, marketing departments have started implementing automation software that enables them to automate time-consuming repetitive tasks. By implementing these software marketing departments, which are usually made up of a small team of marketers, are freed up to focus on strategic elements of the business while delivering on the brand and marketing elements beautifully without investing a significant amount of time and effort on the delivery.&nbsp;</p><p><br></p><p>Marketers are already starting to recognise the value that automation software can bring to their department with the Digital Marketing Institute finding that 44% of marketing leaders believe that automation software will become more important in 2020.</p><p>&nbsp;</p><p><span style="color:inherit;"></span></p><p>While some strides have been made in terms of bridging the divide between the marketing and technology teams to meet customer’s expectations and deliver consistent customer experiences, in most cases locally marketing and IT continue to work in silos. However, globally technology and marketing departments are working together more closely and reaping the benefits of this relationship that has a direct impact of improving customer experiences and increasing company profits, helping them to adapt to a customer-centric environment and weather the storms of the tough economic climate.</p></div>
</div></div></div></div></div></div> ]]></content:encoded><pubDate>Wed, 15 Jan 2020 08:58:37 -0500</pubDate></item><item><title><![CDATA[THE MEDIA ONLINE | THE ROAD TO AI IN MARKETING]]></title><link>https://brandquantum.com/blogs/post/the-media-online-the-road-to-ai-in-marketing</link><description><![CDATA[<img align="left" hspace="5" src="https://brandquantum.com/Images/Blog Images/The road to AI in marketing.PNG"/>Article first published on themediaonline.co.za, written by Paula Sartini, 10 April 2019 | see article h ere ]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_VLhBwjEwRauzBnzwLE0B8g" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_feXqLMiORM-Z3rGqk1EjXg" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_DVr1opsrQ_6V1ZxzxC3yKA" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"></style><div data-element-id="elm_Klwd-qCDEzeA0AdAY0gGZQ" data-element-type="imagetext" class="zpelement zpelem-imagetext BQBody "><style> [data-element-id="elm_Klwd-qCDEzeA0AdAY0gGZQ"].zpelem-imagetext{ border-radius:1px; } </style><div data-size-tablet="size-original" data-size-mobile="size-original" data-align="center" data-tablet-image-separate="" data-mobile-image-separate="" class="zpimagetext-container zpimage-with-text-container zpimage-align-center zpimage-size-medium zpimage-tablet-fallback-medium zpimage-mobile-fallback-medium "><figure role="none" class="zpimage-data-ref"><span class="zpimage-anchor"><picture><img class="zpimage zpimage-style-none zpimage-space-none " src="/Images/Blog%20Images/Media%20Online%20Logo.PNG" size="medium" alt="The Media Online The Road to AI in Marketing" data-lightbox="false" style="width:650px;"/></picture></span></figure><div class="zpimage-text zpimage-text-align-left " data-editor="true"><p style="text-align:center;"><span style="font-size:14px;">Article first published on themediaonline.co.za, written by Paula Sartini, 10 April 2019 | </span><a href="https://themediaonline.co.za/2019/04/the-road-to-ai-in-marketing/" title="see article here" target="_blank"><span style="font-size:14px;"><span>see article h</span>ere</span></a></p></div>
</div></div><div data-element-id="elm_brosGPmcSI6ML91ABOwXZA" data-element-type="text" class="zpelement zpelem-text BQBody "><style> [data-element-id="elm_brosGPmcSI6ML91ABOwXZA"].zpelem-text { border-radius:1px; } </style><div class="zptext zptext-align-left " data-editor="true"><p>Artificial Intelligence (AI) can bring great benefits to businesses across various industries. Already companies such as Google and Microsoft have invested significantly in this technology and are benefiting from it.</p><p>&nbsp;</p><p>Companies that don’t have AI solutions in place yet don’t need to rush off too quickly to implement it in an effort to catch up, but they should start planning for AI as to not fall too far behind the curve.</p><p>&nbsp;</p><p>Marketing departments in particular stand to gain vast benefit from using AI, most notably in their ability to deliver consistent experiences and exceed customer expectations. However many marketers are cautious in adopting new technologies, and as AI can be a massive task to implement, marketers stand to benefit from easing into the process of AI adoption by following the steps below.</p><p>&nbsp;</p><p><span style="font-size:24px;color:rgb(0, 172, 201);">START WITH AUTOMATION</span></p><p>Automation software enables marketers to automate repetitive tasks such as applying the correct branding to company documents. Whilst these are important tasks, they can impact on productivity and detract employees from focusing on more pressing matters within the business. This is supported by research conducted by McKinsey[1] which found that 45% of work activities can be automated by implementing technology solutions. With automation, companies will benefit from cost savings, improved productivity and improved reliability.</p><p>&nbsp;</p><p>Before implementing brand automation, marketers need to conduct a brand audit to determine how the brand compares to its competition, what the brand strengths are, how customers interact with the brand and where the key customer touchpoints are. It is important to look broadly beyond a specific department and include the “messy and complex” things too as this is often the stuff that no-one wants to do but that will provide the most valuable insights. For example, marketers may suggest that <a href="/brandmail" title="email signatures" rel="">email signatures</a> are the responsibility of the IT department, however, customers don’t discriminate between the internal departments within a company, they expect their needs to be met and view the organisation as a whole regardless of who they engage with. As such every element of the brand should be audited.</p><p>&nbsp;</p><p>Once you have conducted a brand audit, the next step is to determine which functions can be automated. These are the functions that require a time investment from staff but deliver minimal return on the investment. For example, complex customer requests should be handled by employees but if a customer is calling for a statement, this process could be automated to free up employees to handle the more challenging customer issues. The most important thing to remember when automating tasks is that customers are often looking for human interaction, particularly when dealing with sensitive or complex issues.&nbsp; </p><p>&nbsp;</p><p>In the case of the customer experience, companies need to get the balance right between what can be automated and what should be handled by employees. Ultimately the best approach is to remove human intervention from the repetitive and menial tasks in order to free them up to handle the more important and complex functions that make the real difference to customers and ultimately build the brand. Once these function have been identified the next step is to identify patterns within customer engagement by analysing the data. </p><p>&nbsp;</p><p><span style="font-size:24px;color:rgb(0, 172, 201);">MOVING BEYOND AUTOMATION</span></p><p>For many years marketers have been collecting customer data but haven’t been able to use it effectively until now. With a mountain of data, combined with established parameters, technology is able to move beyond mere automation to bring marketers intelligent and intuitive offerings. For example, in the case of email, employees could select pre-developed content to drop into emails they send to customers.</p><p>&nbsp;</p><p>Initially this would require these employees to make decisions in terms of which content to select, however, over time the technology would become intelligent and intuitive and combining the data with usage patterns, it would simplify the process even further for users by automatically inserting the correct content for the recipient.</p><p>&nbsp;</p><p>However, marketers should also pay attention to unstructured data as this is where the real magic lies. By identifying patterns in unstructured data, you’ll be able to find opportunities to innovate and identify real behaviours rather than rely on what people say they are doing. With greater insight into who your customers are, and a clearer understanding of their needs, it is easier for employees to engage with them using relevant, personalised information, sent at the right time and improving the overall customer experience.</p><p>&nbsp;</p><p><span style="font-size:24px;color:rgb(0, 172, 201);">INTRODUCING AI TOOLS</span></p><p>Once marketers have become comfortable using these technologies, the next step would be to assess their business needs to determine which AI applications are the best suited to meet their specific needs. There are several AI solutions available and marketers should be cautious not to implement AI for AI’s sake but rather determine which solutions are best suited to help them achieve their business objectives.</p><p>&nbsp;</p><p>It is also important that you consider the legacy systems within the organisation as this can often be a stumbling block to implementing new technologies. Marketers need to clearly articulate their requirements and collaborate with the IT department to implement solutions that meet the business needs.</p><p>&nbsp;</p><p>The most imminent AI solutions available for marketers include anticipating future customer purchases and presenting offers accordingly, improving media buying, monitoring social media comments to determine brand affinity and tailoring promotions. However, this is only the tip of the iceberg in terms of what AI can bring to the marketing table. With the correct data combined with the right AI solutions, marketers are able to gain greater insight into customer sentiment and behaviour to more proactively plan and target campaigns that deliver the best results and enhance the customer experience across every customer touchpoint.</p><p>&nbsp;</p><p><span style="font-size:24px;color:rgb(0, 172, 201);">GET STARTED NOW</span></p><p>There is no doubt that AI brings about some uncertainty with the promise of great things for marketers and business. While still in its infancy, this is the time for marketers to slowly start implementing technologies that lay the foundation for AI at a later stage. Marketers should start getting familiar with automation technology and determine exactly what they expect from AI technology before making the leap and introducing AI solutions into the organisation.</p><p>&nbsp;</p><p><span style="color:inherit;"></span></p><p>While it can be tempting to jump in head first, by adopting a slow and steady approach to AI implementation, they will be setting themselves up for success in the long-term. But the time to start is now.</p></div>
</div></div></div></div></div></div> ]]></content:encoded><pubDate>Sun, 05 Jan 2020 12:27:27 -0500</pubDate></item><item><title><![CDATA[THE RED ZONE | CHIEF MARKETING OFFICERS NEED TO EMBRACE NEW TECHNOLOGIES TO BUILD BRAND TRUST]]></title><link>https://brandquantum.com/blogs/post/chief-marketing-officers-need-to-embrace-new-technologies-to-build-brand-trust</link><description><![CDATA[<img align="left" hspace="5" src="https://brandquantum.com/Images/Blog Images/Chief Marketing Officers.PNG"/>Article first published on businesslive.co.za, 22 August 2018 | see article here ]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_hNoS4z9ISO6Mwt81WkTKfg" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_GjyJC9OGTByBYLW1Hq4dmg" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_v0WocGcxTeO93b-_dicUkA" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"></style><div data-element-id="elm_lzu5xxASwqG-E40SjwLhHg" data-element-type="imagetext" class="zpelement zpelem-imagetext BQBody "><style> [data-element-id="elm_lzu5xxASwqG-E40SjwLhHg"].zpelem-imagetext{ border-radius:1px; } </style><div data-size-tablet="size-original" data-size-mobile="size-original" data-align="center" data-tablet-image-separate="" data-mobile-image-separate="" class="zpimagetext-container zpimage-with-text-container zpimage-align-center zpimage-size-small zpimage-tablet-fallback-small zpimage-mobile-fallback-small "><figure role="none" class="zpimage-data-ref"><a class="zpimage-anchor" href="https://www.businesslive.co.za/redzone/news-insights/2018-08-22-chief-marketing-officers-need-to-embrace-new-technologies-to-build-brand-trust/" target="_blank" title="Chief marketing officers need to embrace new technologies to build brand trust" rel=""><picture><img class="zpimage zpimage-style-none zpimage-space-none " src="/Images/Blog%20Images/RedZone%20Logo.PNG" size="small" alt="The Red Zone CMO's" data-lightbox="false" style="width:569px;"/></picture></a></figure><div class="zpimage-text zpimage-text-align-left " data-editor="true"><p style="text-align:center;">Article first published on businesslive.co.za, 22 August 2018 | <a href="https://www.businesslive.co.za/redzone/news-insights/2018-08-22-chief-marketing-officers-need-to-embrace-new-technologies-to-build-brand-trust/" title="see article here" target="_blank"><span style="font-size:14px;">see article here</span></a></p></div>
</div></div><div data-element-id="elm_rwhcejxoR8uJcUd-ZCwb6A" data-element-type="text" class="zpelement zpelem-text BQBody "><style> [data-element-id="elm_rwhcejxoR8uJcUd-ZCwb6A"].zpelem-text { border-radius:1px; } </style><div class="zptext zptext-align-left " data-editor="true"><p style="text-align:justify;"><span style="color:inherit;">Marketing needs to evolve into a fully integrated role – it should own the customer experience, embrace technology to meet customers’ digital requirements and have a seat at the boardroom table to drive and influence product development based on marketing insights.&nbsp; This was the key take-out from a BrandQuantum marketing round table held earlier this year to debate the role of marketing in today’s digital business environment.&nbsp;</span></p><p style="text-align:justify;"><br></p><p style="text-align:justify;">Other issues discussed at the round table include the fact while digital isn’t new, several marketers are still grappling with it, and in many instances, it remains a separate function from the marketing department. Marketers agree that they lack the knowledge and skills to use digital tools and technologies to their advantage and need to upskill quickly if they are to own the customer experience.</p><p style="text-align:justify;"><br></p><p style="text-align:justify;">Customer experience, which is critical in giving businesses the competitive advantage, is a complex phenomenon that is greatly influenced by every customer engagement at every touch point. With so many touch points throughout an organisation, consistent brand experiences that are not diluted are crucial.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;">Companies must adapt to the new business landscape, which is driven by customers’ requirements and regulatory changes. Organisations have restructured accordingly, and marketers believe that an integrated marketing approach has to be adopted to respond to customer needs quickly and deliver a consistent customer experience.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;">A key challenge for marketers in larger organisations is legacy issues – traditional processes and systems that prevent change, as well as time frames that do not allow for long-term strategic planning.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;">Smaller organisations may have the advantage of having teams in place to meet customer expectations and keep up with the latest trends, but they don’t have the brand strength to help them overcome potential hurdles they may encounter in building the brand reputation.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;">Macro-trends such as the Protection of Personal Information Act, privacy issues and data protection present new challenges to marketers, who need tools to help them to be nimble and compete against local and global organisations.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;"><span style="font-size:24px;color:rgb(0, 172, 201);">THE BIG TAKE-OUT</span></p><p style="text-align:justify;">In a changing business landscape, both the marketing department and the chief marketing officer need to redefine their roles and gain a deeper understanding of the technologies available to them to build strong brands, with consistent messaging across platforms.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;">Adding to this, marketing departments are under pressure to demonstrate their value to the organisation. Today’s marketers are being asked to marry marketing with sales functions and put measurement metrics in place to determine their combined output and the contribution to the company’s profits. In some instances, the role of marketing heads are shifting to that of chief growth officer and they are held accountable for the company’s sales success. With the right tools in place, marketers will be able to pull metrics that analyse their activity and show the success of various initiatives based on these metrics.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;">Brand remains a critical component of the success of the organisation, and while marketing is under pressure to deliver immediate results, its real value will be seen only in three to five years on the brand scorecard. Marketing’s success should be measured by customer experience over time and not just by the company’s profits.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;">In organisations where marketing has a seat at the boardroom table, marketing insights drive and influence product development and determine how the company moves into the market, effectively positioning the company against its competitors. A brand’s values remain critical to driving a company’s success. For this reason, marketers believe the greater the brand trust and love the greater the impact on the income statement.</p><p style="text-align:justify;">&nbsp;</p><p style="text-align:justify;">Equally important is having employees buy into the brand and the company culture. Often larger, established organisations have an advantage over newer or smaller organisations, as the culture is already entrenched, and potential employees buy into it when applying for a position to work there. But it is important for both large and small organisations to take their employees along on the journey of building the brand and providing them with the right tools to deliver according to the company brand in all customer interactions. After all, if a company doesn’t pay attention to the smaller details, how can their customers trust them to get the more complicated things right?</p><p style="text-align:justify;">&nbsp;</p><p><span style="color:inherit;"></span></p><p style="text-align:justify;"><a href="/board-members" title="Paula Sartini" rel="">Paula Sartini</a> is the founder and CEO of <a href="/" title="BrandQuantum" rel="">BrandQuantum</a>.</p></div>
</div></div></div></div></div></div> ]]></content:encoded><pubDate>Sun, 05 Jan 2020 07:01:51 -0500</pubDate></item><item><title><![CDATA[BLOG | INTRODUCING AI STEP BY STEP]]></title><link>https://brandquantum.com/blogs/post/blog-introducing-ai-step-by-step</link><description><![CDATA[Artificial Intelligence (AI) brings a lot of promise for organisations. Marketing departments, in particular, stand to gain significantly from using A ]]></description><content:encoded><![CDATA[<div class="zpcontent-container blogpost-container "><div data-element-id="elm_764mI_yNQACmvNeuhXdtww" data-element-type="section" class="zpsection "><style type="text/css"></style><div class="zpcontainer-fluid zpcontainer"><div data-element-id="elm_ovYij1cGRfSr2d-30zoxxw" data-element-type="row" class="zprow zprow-container zpalign-items- zpjustify-content- " data-equal-column=""><style type="text/css"></style><div data-element-id="elm_y5Byw88OTdyg_PyLzJox_w" data-element-type="column" class="zpelem-col zpcol-12 zpcol-md-12 zpcol-sm-12 zpalign-self- "><style type="text/css"></style><div data-element-id="elm_66WzG_Y9RB2AUSN7XtHVeg" data-element-type="text" class="zpelement zpelem-text BQBody "><style> [data-element-id="elm_66WzG_Y9RB2AUSN7XtHVeg"].zpelem-text { border-radius:1px; } </style><div class="zptext zptext-align-left " data-editor="true"><p style="text-align:justify;margin-bottom:20px;font-size:16px;"><span style="font-size:12pt;">Artificial Intelligence (AI) brings a lot of promise for organisations. Marketing departments, in particular, stand to gain significantly from using AI, most notably in easing delivery of consistent brand experiences and exceeding customer expectations.</span></p><p style="text-align:justify;margin-bottom:20px;font-size:16px;"><span style="font-size:12pt;">However, it can be daunting implementing AI so here are a few steps to help you ease into AI adoption:</span></p><ol><li style="text-align:justify;"><span style="font-size:12pt;"><strong>Brand audit:</strong>&nbsp;Conduct a brand audit to determine how your brand compares to your competitors, what your brand strengths are, how customers interact with your brand and where the touchpoints are. Take a holistic view as if you were a customer, as customers do not look at each department individually but rather view it as an entire brand. It is important to focus on every element of the brand, even those that may not traditionally be thought to be the responsibility of the marketing department such as the content included in letters from the credit department, the call centre script or email signatures.</span></li><li style="text-align:justify;"><span style="font-size:12pt;"><strong>Segment critical from none critical functions:</strong>&nbsp;Once you’ve completed the audit, you need to determine which functions can be automated. Typically the functions that take a lot of time to do but deliver the least amount of value should be automated, for example, typesetting of business cards, requests for artwork or logos and the typesetting of forms could all be easily automated. According to McKinsey, 45 percent of work activities can be automated by implementing technology solutions.</span></li><li style="text-align:justify;"><span style="font-size:12pt;"><strong>Automation software:</strong>&nbsp;Find a technology solution that automates the specific functions that you need to automate. While there is often some uncertainty to the functions that can be automated, generally it the time-consuming tasks that don’t add strategic value, such as creating a PowerPoint slide deck or typesetting employee certificates. By implementing automation software the company will save costs, improve productivity and reliability and deliver a return on your investment.</span></li><li><div style="text-align:justify;"><strong style="font-size:12pt;">Use your data:</strong><span style="font-size:12pt;">&nbsp;For years marketers have collected customer data, now is the time to use it. By combining data with technology solutions, intelligent and intuitive technology solutions can be introduced to combine customer insights with personalised, relevant information that is sent at the right time to impact customer behaviour. It is also valuable to look at unstructured data as patterns can emerge in unexpected places and give real insight into behaviours than the structured data could provide on its own.</span></div><p style="text-align:justify;margin-bottom:20px;font-size:16px;"><span style="font-size:12pt;">To gather relevant information, rather than waiting for monthly reports, patterns should be identified from the data throughout the month. This provides interesting insights that can be used dynamically and put you ahead of the competition. It is also key that the information is sent to the right person so that they are able to use the information, for example, if recipients open up banner adverts, the sender should be alerted to this and use this information to touch base with the interested recipient.</span></p></li><li style="text-align:justify;"><span style="font-size:12pt;"><strong>Assess the business needs:</strong>&nbsp;With the fundamental technology solutions in place, easing delivery and utilising data effectively, you can now determine your businesses specific AI needs. There are several solutions available but not every solution may be the right one for you, so unpack your specific needs and then determine what the best solution would be to meet them. It is important that you consider the legacy systems and collaborate with the technology teams when looking at technology solutions for your business.</span></li><li style="text-align:justify;"><span style="font-size:12pt;"><strong>Implement your AI solution:</strong>&nbsp;With your strategy in place and your planning well underway, it is now time to implement your AI solution. It could be anything from anticipating future customer purchases, presenting offers to customers timeously, improving media buying and monitoring social media comments to determine brand affinity. There is a list of options available to meet your needs. Again you should work closely with the technology teams within your company to determine which solutions are the best to meet your particular business needs.</span></li></ol><p style="text-align:justify;margin-bottom:20px;font-size:16px;"><span style="font-size:12pt;">There is no doubt that AI brings about some uncertainty with the promise of great things for marketers and business. While still in its infancy, this is the time for marketers to slowly start implementing technologies that lay the foundation for AI at a later stage. Marketers should start getting familiar with automation technology and determine exactly what they expect from AI technology before making the leap and introducing AI solutions in the organisation.</span></p><p style="text-align:justify;margin-bottom:20px;font-size:16px;"><span style="font-size:12pt;">While it can be tempting to jump in head first, by adopting a slow and steady approach to AI implementation, they will be setting themselves up for success in the long-term. But it is important to start implementing the technology now.</span></p><p style="text-align:justify;margin-bottom:20px;font-size:16px;"><span style="font-size:12pt;">BrandQuantum has developed software solutions that can help companies to deliver consistent brand experiences across all communications. BrandOffice empowers every employee across an organisation to automatically create consistently branded documents across Word, PowerPoint and Excel. BrandMail is an email solution that helps companies to deliver consistent emails with beautifully designed, tamperproof email signatures that are sent out with every single email, both to internal and external recipients.</span></p><p style="text-align:justify;margin-bottom:20px;"><span style="font-size:12pt;">With BrandQuantum's<a href="/brandoffice" title=" BrandOffice" rel=""> BrandOffice</a> all content across email, Word, PowerPoint and Excel can be predeveloped and approved to enable quick and easy access while ensuring brand consistency in all customer engagements. For more information about BrandQuantum and our brand consistency software solutions, please visit our website <a href="/" title="brandquantum.com" rel="">brandquantum.com</a>.</span></p></div>
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</div></div></div></div></div></div> ]]></content:encoded><pubDate>Sun, 29 Dec 2019 16:01:51 -0500</pubDate></item></channel></rss>