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Google's AI Overviews shake up the search landscape, sparking debate on content quality and SEO impact. While some hail them as a boon, others worry AI Overviews might steal content and reduce website traffic. The article explores these concerns and the potential impact on creators, consumers, and the future of search. It's been over two weeks since Google launched AI Overviews for its US-based users (with plans to roll out globally by the end of this year), and they have already become a hot topic in the media. While some experts consider them a boon for ethical website owners and white-hat marketers, believing they will dramatically change the search industry in the coming months, others are less optimistic, accusing Google of stealing their content and violating its own spam policies. On social media, thousands of users are dunking on the inaccuracies and bizarre responses from AI Overviews, such as the claim that a dog played in the NHL (confused by a charity event for rescue pups) or that several US Presidents graduated from UW-Madison (confused by a webpage referencing students with the same names as US Presidents), and even the suggestion that running with scissors is good for health. But jokes aside, some people’s firsthand experiences with how AI Overviews have already impacted their unique content and website traffic raise more questions than answers. According to travel writer David Leiter, whenever someone searched for "Best Slot Canyons Near Las Vegas," his article in the travel blog was always at the top of the search results page. However, after the launch of AI Overviews, the same search brought up an AI-generated response at the top of the page instead. The answer was completely wrong, as AI couldn't differentiate a slot canyon from a regular canyon. Although the AI Overview did include a link to Leiter's article, it was pushed to the very bottom of the results and took time to see. As a result, David believes the potential consequences are especially problematic because he feels "Google's AI is outright stealing content" from creators like himself. He doesn't think "he'll get more traffic than he used to as the top search result." This and other stories I encountered in the media motivated me to research the topic more deeply and seek answers to the questions: How will AI Overviews and other AI-powered enhancements eventually affect search, and who will benefit the most from them? Impact on the SEO Ecosystem Google's AI Overviews are poised to transform the search landscape significantly. One of their most notable capabilities is multi-step reasoning, allowing users to ask complex questions in a single query and receive comprehensive, customized results. For instance, a query about finding the best barbershop or Yoga studio in NYC now yields a detailed results page that previously would have required multiple searches and visits to different websites. These advancements reduce the need for multiple search queries and directly impact how users interact with search engines. Users who find the information they need directly in the AI overview are less likely to visit your website. This can lead to a decrease in your website's traffic and harm your search engine optimization efforts. Lower traffic means fewer opportunities for user engagement, ad impressions, and conversions, directly affecting your site's revenue and growth. Furthermore, reduced traffic can negatively impact your website's search engine rankings over time, creating a vicious cycle where decreased visibility leads to even lower traffic. Moreover, only a few link cards are shown in AI Overviews, making it a "winner takes all" scenario where smaller publishers might struggle if sites with greater authority dominate these spots. This could threaten the web traffic of "millions of marketers, creators, and publishers" who rely on Google's search traffic. Rather than a diverse, user-created internet, the result could be a system where just a handful of large companies provide information. Centralizing information within Google's ecosystem could reduce content diversity and the number of voices available online. This monopolization of information flow is a significant concern for the web. As Google becomes more adept at providing comprehensive answers, user reliance on its services will likely increase. This growing dependence could stifle competition and innovation. The extensive data collection required for personalized AI features raises significant privacy issues. Ensuring user consent and data security will be paramount as AI evolves. However, according to BrightEdge, Google significantly reduced the number of search results showing the SGE in April by 40%, from 65% at the start of the month to around 25% by the end. Additionally, the height of the SGE element was reduced by about 15%, from an average of 1200 pixels to 1050 pixels. As such, Google may be attempting to optimize the user interface and search experience while ensuring that traditional ads still have prominence and visibility. This indicates a nuanced approach to integrating AI overviews rather than prioritizing them over other elements. Impact on Content Creators and Consumers If users increasingly consume AI-generated content in search results, the demand for "human" content decreases. The shift to AI-generated summaries can undermine the value of unique, high-quality content produced by humans, making it harder for content creators to monetize their work through ad revenue, subscriptions, or sponsorships. Additionally, human authors' creative and nuanced perspectives may be undervalued, leading to a homogenized content landscape dominated by AI outputs. As mentioned above, AI can't yet boast of providing truly high-quality information. It still regularly "hallucinates" and provides unreliable information that needs to be verified manually. This poses a significant risk to content consumers who rely on AI overviews for accurate and trustworthy information. Misinformation can have severe consequences in critical areas such as health, finance, and legal advice. For instance, erroneous AI Overviews have been found for some YMYL (Your Money, Your Life) queries, including searches related to health, mental health, finances, and well-being—crucial information that can significantly impact users' lives. Consumers may need to develop new habits of cross-checking AI-provided information with reliable sources, which could be time-consuming and counterproductive. Moreover, over-reliance on AI-generated content could diminish critical thinking skills as consumers might start accepting AI responses at face value without questioning their accuracy. This shift in behavior presents a significant opportunity for innovation. Startups can capitalize on this demand by creating AI-based products that specialize in verifying AI-generated information. Such tools could be invaluable across various sectors, particularly in media, academia, scientific research, R&D, and other domains that rely heavily on accurate information. By developing applications that ensure the reliability of AI content, these startups could address a crucial need in both B2C and B2B markets, fostering greater trust and dependability in AI-driven insights. For marketers, this shift raises questions about traffic impact. However, there is a silver lining: according to Hema Bhuttaraju, the senior director of the AI Overviews project, link cards within AI Overviews generate a higher click-through rate than traditional web search results. Moreover, Google has announced that impressions and clicks from AI overviews will be tracked in the Search Console, providing marketers with data on their performance in this new search paradigm. Mark Traphagen, VP of Product Marketing and Training for seoClarity, states, "Most AI responses target long-tail, low search volume queries, which are generally unlikely to significantly impact most sites." He also found that AI Overviews primarily appear for informational queries—when users want to do something, learn steps, or complete a task. However, the number of queries that deserve summaries (QDS) for AI Overviews has significantly decreased compared to the SGE for informational queries. This suggests that while AI overviews are used for specific types of queries, their overall presence and relevance have diminished compared to other informational tools like SGE. Conclusion In conclusion, while AI Overviews present both challenges and opportunities, their overall impact on high-traffic websites and critical SEO strategies may be limited. The immediate threat is more significant for smaller publishers and content creators, who may see their visibility and traffic decrease. However, businesses and content creators can continue to thrive by focusing on high-quality, unique content that addresses more complex and high-volume queries. As AI technology evolves, all stakeholders must adapt and find ways to coexist with AI-generated content, ensuring a balanced and diverse digital landscape. BTW, Hackernoon’s poll on AI Overviews is still open. You’re welcome to share your input and see the interim results! Google's AI Overviews shake up the search landscape, sparking debate on content quality and SEO impact. While some hail them as a boon, others worry AI Overviews might steal content and reduce website traffic. The article explores these concerns and the potential impact on creators, consumers, and the future of search. Google's AI Overviews shake up the search landscape, sparking debate on content quality and SEO impact. While some hail them as a boon, others worry AI Overviews might steal content and reduce website traffic. The article explores these concerns and the potential impact on creators, consumers, and the future of search. It's been over two weeks since Google launched AI Overviews for its US-based users (with plans to roll out globally by the end of this year), and they have already become a hot topic in the media. While some experts consider them a boon for ethical website owners and white-hat marketers, believing they will dramatically change the search industry in the coming months, others are less optimistic, accusing Google of stealing their content and violating its own spam policies. On social media, thousands of users are dunking on the inaccuracies and bizarre responses from AI Overviews, such as the claim that a dog played in the NHL (confused by a charity event for rescue pups) or that several US Presidents graduated from UW-Madison (confused by a webpage referencing students with the same names as US Presidents), and even the suggestion that running with scissors is good for health. dunking on But jokes aside, some people’s firsthand experiences with how AI Overviews have already impacted their unique content and website traffic raise more questions than answers. According to travel writer David Leiter , whenever someone searched for "Best Slot Canyons Near Las Vegas," his article in the travel blog was always at the top of the search results page. However, after the launch of AI Overviews, the same search brought up an AI-generated response at the top of the page instead. The answer was completely wrong, as AI couldn't differentiate a slot canyon from a regular canyon. Although the AI Overview did include a link to Leiter's article, it was pushed to the very bottom of the results and took time to see. As a result, David believes the potential consequences are especially problematic because he feels "Google's AI is outright stealing content" from creators like himself. He doesn't think "he'll get more traffic than he used to as the top search result." David Leiter This and other stories I encountered in the media motivated me to research the topic more deeply and seek answers to the questions: How will AI Overviews and other AI-powered enhancements eventually affect search, and who will benefit the most from them? How will AI Overviews and other AI-powered enhancements eventually affect search, and who will benefit the most from them? Impact on the SEO Ecosystem Impact on the SEO Ecosystem Google's AI Overviews are poised to transform the search landscape significantly. One of their most notable capabilities is multi-step reasoning, allowing users to ask complex questions in a single query and receive comprehensive, customized results. For instance, a query about finding the best barbershop or Yoga studio in NYC now yields a detailed results page that previously would have required multiple searches and visits to different websites. These advancements reduce the need for multiple search queries and directly impact how users interact with search engines. Users who find the information they need directly in the AI overview are less likely to visit your website. This can lead to a decrease in your website's traffic and harm your search engine optimization efforts. Lower traffic means fewer opportunities for user engagement, ad impressions, and conversions, directly affecting your site's revenue and growth. Furthermore, reduced traffic can negatively impact your website's search engine rankings over time, creating a vicious cycle where decreased visibility leads to even lower traffic. Moreover, only a few link cards are shown in AI Overviews, making it a "winner takes all" scenario where smaller publishers might struggle if sites with greater authority dominate these spots. This could threaten the web traffic of "millions of marketers, creators, and publishers" who rely on Google's search traffic. Rather than a diverse, user-created internet, the result could be a system where just a handful of large companies provide information. Centralizing information within Google's ecosystem could reduce content diversity and the number of voices available online. This monopolization of information flow is a significant concern for the web. As Google becomes more adept at providing comprehensive answers, user reliance on its services will likely increase. This growing dependence could stifle competition and innovation. The extensive data collection required for personalized AI features raises significant privacy issues. Ensuring user consent and data security will be paramount as AI evolves . AI evolves However, according to BrightEdge , Google significantly reduced the number of search results showing the SGE in April by 40%, from 65% at the start of the month to around 25% by the end. Additionally, the height of the SGE element was reduced by about 15%, from an average of 1200 pixels to 1050 pixels. As such, Google may be attempting to optimize the user interface and search experience while ensuring that traditional ads still have prominence and visibility. This indicates a nuanced approach to integrating AI overviews rather than prioritizing them over other elements. BrightEdge Impact on Content Creators and Consumers Impact on Content Creators and Consumers If users increasingly consume AI-generated content in search results, the demand for "human" content decreases. The shift to AI-generated summaries can undermine the value of unique, high-quality content produced by humans, making it harder for content creators to monetize their work through ad revenue, subscriptions, or sponsorships. Additionally, human authors' creative and nuanced perspectives may be undervalued, leading to a homogenized content landscape dominated by AI outputs. human authors' creative and nuanced perspectives may be undervalued, leading to a homogenized content landscape dominated by AI outputs. As mentioned above, AI can't yet boast of providing truly high-quality information. It still regularly "hallucinates" and provides unreliable information that needs to be verified manually. This poses a significant risk to content consumers who rely on AI overviews for accurate and trustworthy information. Misinformation can have severe consequences in critical areas such as health, finance, and legal advice. For instance, erroneous AI Overviews have been found for some YMYL (Your Money, Your Life) queries, including searches related to health, mental health, finances, and well-being—crucial information that can significantly impact users' lives. Consumers may need to develop new habits of cross-checking AI-provided information with reliable sources, which could be time-consuming and counterproductive. Moreover, over-reliance on AI-generated content could diminish critical thinking skills as consumers might start accepting AI responses at face value without questioning their accuracy. This shift in behavior presents a significant opportunity for innovation. Startups can capitalize on this demand by creating AI-based products that specialize in verifying AI-generated information. Startups can capitalize on this demand by creating AI-based products that specialize in verifying AI-generated information. Such tools could be invaluable across various sectors, particularly in media, academia, scientific research, R&D, and other domains that rely heavily on accurate information. By developing applications that ensure the reliability of AI content, these startups could address a crucial need in both B2C and B2B markets, fostering greater trust and dependability in AI-driven insights. For marketers, this shift raises questions about traffic impact. However, there is a silver lining: according to Hema Bhuttaraju , the senior director of the AI Overviews project, link cards within AI Overviews generate a higher click-through rate than traditional web search results. Moreover, Google has announced that impressions and clicks from AI overviews will be tracked in the Search Console, providing marketers with data on their performance in this new search paradigm. Hema Bhuttaraju Mark Traphagen , VP of Product Marketing and Training for seoClarity, states, "Most AI responses target long-tail, low search volume queries, which are generally unlikely to significantly impact most sites." He also found that AI Overviews primarily appear for informational queries—when users want to do something, learn steps, or complete a task. However, the number of queries that deserve summaries (QDS) for AI Overviews has significantly decreased compared to the SGE for informational queries. This suggests that while AI overviews are used for specific types of queries, their overall presence and relevance have diminished compared to other informational tools like SGE. Mark Traphagen Conclusion Conclusion In conclusion, while AI Overviews present both challenges and opportunities, their overall impact on high-traffic websites and critical SEO strategies may be limited. The immediate threat is more significant for smaller publishers and content creators, who may see their visibility and traffic decrease. However, businesses and content creators can continue to thrive by focusing on high-quality, unique content that addresses more complex and high-volume queries. As AI technology evolves, all stakeholders must adapt and find ways to coexist with AI-generated content, ensuring a balanced and diverse digital landscape. BTW, Hackernoon’s poll on AI Overviews is still open. You’re welcome to share your input and see the interim results! BTW, Hackernoon’s poll on AI Overviews is still open . You’re welcome to share your input and see the interim results! Hackernoon’s poll on AI Overviews is still open

Beyond the Answer Box: How AI Overviews Impact Search and Content

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За рамками ответов: как обзоры ИИ влияют на поиск и контент

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超越答案框：人工智能概述如何影响搜索和内容

It’s been described as “the next big thing,” “ ,” the “ ,” and a “ ” to institutions of learning. But no matter what you call it, there’s no doubt it has taken the internet by storm and ushered in a new era of AI. overhyped calculator for writing menace I’m talking, of course, about , the chatbot launched last November whose ability to write in a natural, realistic voice has the media proclaiming this as the year AI . ChatGPT becomes eerily human Based on OpenAI’s large language model, and having devoured basically the entire internet, ChatGPT can respond to prompts on just about any topic imaginable; already it’s been used to help an 11-year-old boy create a , enable students to cheat in school, and write a song in any existing musician’s style. text-based role playing game As you might expect, the marketing world is practically intoxicated with ChatGPT’s potential. Tons of marketers are breathlessly trumpeting the ways they have already integrated the tool into their workflows, for everything from handling customer inquiries and brainstorming new taglines to writing emails, web copy, social media content, blog posts, and much more. Predictably, many in the industry are questioning whether ChatGPT will altogether, causing some professionals to confront about what it means to be a writer in this day and age. But if the past is any precursor to the future, AI won’t actually take jobs away from content marketers. It is more likely to empower them to do their work faster, more effectively, and just plain better. replace human writers existential fears Despite the recent fervor about ChatGPT, the truth is that AI is already in widespread use in content marketing today. In Capterra’s , nearly two-thirds of marketers told the software review site they use AI for email marketing, four-tenths claimed to use it for SEO optimization, and one-third for content generation. To truly understand ChatGPT’s future impact on content marketing, it is helpful to look at the ways writers, editors, and content strategists are using AI — or its subsets, machine learning, and natural language processing — today. 2022 AI Marketing Survey Planning & Strategy AI often plays an important role in the process that sits at the very root of content marketing: idea generation. Traditionally, writers or strategists would come up with ideas for topics based on talking to customers, input from the sales team, reactions from what was being covered by the media, and their own intuition on what is most likely to engage their readers. With AI, however, marketers can now make better decisions with data-driven input. Tools from companies such as , and others use AI to help marketers come up with topics to write about based on what is trending in certain areas and what headlines are most likely to drive engagement. Meanwhile, SEO tools such as and provide deep insight into not only what search terms people are looking for and what questions they are asking online, but what related topics those searchers are likely to be interested in. Neuroflash StoryLab.ai , Ahrefs Moz Other tools, like go so far as to use AI to help marketers understand a user’s intent behind their search queries so that marketers know what topics are relevant to someone who is most likely to buy. BrightEdge, Writing Although ChatGPT might be the latest, most sensational, and most human-like AI writing tool to hit the market, it is far from the first. Intelligent writing assistants such as and have been around for years, helping marketers produce an array of content including ad copy, landing pages, emails, blog posts, and more. Jasper, Peppertype, Copy.ai, Anyword Marketers simply give these tools some input into what they need, and the software will spit back original content that they claim is ready to be published. The tools use AI to write content approximately ten times faster than any human could, while phrasing things in ways that they know are likely to make readers take action. For now, many view the quality of the writing as substandard. This is where ChatGPT represents a giant leap forward, though even ChatGPT’s writing seems to lack a sense of imagination and that creative spark that some believe only humans can provide. Still, many writers have found tools such as these helpful for organizing their thoughts, overcoming writer's block, and even producing outlines or first drafts that they can polish into high-quality articles. Editing Of all the AI-based communications tools on the market, perhaps none is as widespread nor as well-known as , the writing assistant that helps more than 30 million people improve their spelling, grammar, and the overall quality of their writing. After receiving $200 million in funding at a $13 billion valuation in 2021, last year the company was named one of Time Magazine’s most influential companies and one of FastCompany’s most innovative companies in artificial intelligence. Grammarly Aside from real-time suggestions for clearer, more effective writing, Grammarly and other editing tools on the market, such as and , can also help writers maintain consistency across their writing with their company’s style, tone of voice, and brand messaging — making their editors' job that much easier. Phrasee Acrolinx None of these tools replace the support and mentorship an actual editor can provide, but they allow those editors to focus less on the copyediting and grammatical fixes that these tools usually catch and more on the big-picture, insight-driven advice that truly elevates a writer’s output. Delivery Once the writing process is complete, AI can even step in to help marketers make sure their content gets delivered to the right person, at the right time, in the right place. Much like the advertising algorithms that target ads based on a user’s past behavior, there are several content delivery platforms on the market that serve up the right blog post, social media content or email based on their predictions about what a user is most likely to find relevant and interesting. Platforms including and use AI to analyze a website visitor’s profile and deliver personalized content experiences that are hyper-relevant to each person’s interests. The marketing performance management solution Allocadia, which is now part of Uptempo, used PathFactory to identify the top-performing content for each stage of its buyer’s journey, then hone in on what resonates best with each specific persona while also understanding how and when to deploy that content to best influence the sales pipeline. The result was a 17% increase in content engagement and an 11% improvement in closed-won sales rates. Uberflip, OneSpot, PathFactory While ChatGPT has marketers excited about its potential impact on their content strategies, it remains to be seen exactly what role generative AI and natural language processing will play in the coming years. Will it replace human writers altogether? Will it degrade the overall quality of writing on the internet? Will it introduce unintentional biases or spell the end of fact-checking and verification as we know it? These questions can only be answered with time. One thing is certain, however: AI has been embraced by a large number of content marketers already, and while it might not be ready to take over their jobs, it has definitely made them better at what they do.

Beyond ChatGPT: How Else Are Content Marketers Using AI Today? 

Artificial Intelligence (AI) has numerous business applications and is increasingly being adopted by companies worldwide. In fact, of businesses leverage AI in some form or another. Content is one such area where AI can help brands and marketers get the best results. 37% AI can help with almost all aspects of your content strategy right from planning to execution. And, at each stage, there are a set of AI-powered tools that you can leverage to improve your content strategy. Here are some of the areas where AI can help you improve your content strategy, along with the tools that you can use at each stage. Research and Planning This is the most crucial stage of any content or marketing strategy where you gather insights that will fuel your . AI can be instrumental at this stage as you can leverage it to gain valuable insights into your customers, their preferences, and more. strategy and campaign AI-powered tools can help you both with customer research and content research. Customer insights about their interests, preferences, and online behavior are important. They can help you plan the direction and tone for your content strategy. Content research helps you with more specific aspects like what topics to select and where to post your content. Below is a list of three types of AI-based tools that you can use for effective content research and planning. AI-Powered Social Listening Tools There are several AI-based social media listening tools that can help you understand the pulse of your audience. Social listening can help you understand your brand sentiment, the impact of previous campaigns, and the type of conversations people are having about your brand. and are two such tools that you can consider for your social media monitoring needs. You can use these to understand trending topics in your niche and also find out what your current and prospective customers are discussing on social media. Mentionlytics Linkfluence Content Curation Tools Sometimes, marketers curate content instead of creating fresh content. Any smart marketer knows that it’s not always feasible to create content and, therefore, content curation should be an essential part of your strategy. is a good AI-powered content curation tool that you can use to find and share relevant content in your niche. Stackla Chatbots Chatbots should also be a part of your content strategy as they can directly interact with consumers and provide recommendations. But, more than that, there are a lot of insights that you can gain by analyzing chatbot-customer interactions. You can assess customer pain-points and challenges and keep your content focused on solving them. is one such AI-powered chatbot platform that you can use to engage your customers and enhance their shopping experiences. LivePerson Content Research Tools Apart from the tools mentioned above, there are a lot of different ways in which marketers do content research. Whether it is to find relevant and trending topics in your niche or understand what your target audience likes to read, there’s a tool for everything. And, AI further boosts the functionalities of these research tools to provide you with unmatched content research insights. is an AI-powered, SEO-based insights tool that can help fuel your content strategy. is another good content intelligence platform that you can leverage to gather insights before planning your content strategy. BrightEdge MarketMuse Content Creation Now that you are done with the content research and planning parts of your strategy, the next step is to think about the actual content creation. Of course, AI can’t replace your valuable team of writers. You still need people to . However, AI can surely make the process more streamlined and easier for your team. create content There are, however, a lot of aspects of content creation that can be done using AI. For example, AI can conduct the research and create a data dump. Your team can then use that to draft the final piece of content. Some AI tools can also help you with the structure and layout of each content piece and tell you where to place images, videos, text, etc. They do that based on past consumer behavior data and identifying trends to figure out what works best. For example, is a tool that can predict how a consumer might react to your content and can help you create better content. And, it can also help you optimize image and video content to ensure that you get the best customer engagement rates. Cortex Another way AI can help you with the content creation process is to actually write content. Current AI technology is still not advanced enough to create content that you can use as-is. However, AI-based tools can still create at least the first draft of the content that your team can improve later. Several marketers are experimenting with such content-writing tools. For example, is an excellent natural language generation platform where you can feed data and it can convert it into a narrative. Wordsmith Platforms like these can be used is many ways and can help you generate small pieces of content on-the-go. AI cannot truly replace content creation, but it can optimize the process. Whether it is to improve the grammar and tone of voice or improve the content structure and layout, AI can help. Distribution and Promotion No matter how good your content is, it won’t reach your target audience if you don’t distribute and promote it effectively. Content distribution and promotion are just as important as planning and creation. Therefore, when planning your content strategy, you should also have a plan in place for where and how you will distribute your content. This should also include the tools that you will use and the frequency at which you will post. the content scheduling and posting processes. There are several tools that can help you schedule and automatically post content. AI can help automate However, there are certain tools that go beyond simple content scheduling and posting. , for example, does not just automate your scheduling but also your tasks. It is an all-you-need social content management platform that can help you with all of your content posting needs. Kontentino Another great AI-based tool that you can use for content distribution is . It lets you target the most relevant audience with the right content, based on an analysis of past consumer reading behavior. Keywee Conclusion Artificial Intelligence is one of today’s most useful technologies, with . It powers a wide variety of content marketing tools that you can use at different stages of your content strategy planning. numerous business applications You can use this post as a reference and starting point for understanding how you can use AI to fuel your content strategy. Now, you also know about some of the best AI-based tools that you can use for content research, planning, creation, distribution, and promotion. So, what are you waiting for? Start using AI now and nail your content strategy.

How to Nail Your Content Strategy Using AI

From news outlets to social media, the topic of AI seems to come up time and again. With so much focus on the topic, it’s easy to dismiss it as nothing more than the latest buzzword. But this would be a mistake. AI is a broad area that encompasses a number of cutting-edge tools that can add real value to almost any company’s business strategy and operations. Taking a deeper look at this technology can help explain its ongoing popularity, as well as provide key information that can help you realize the power of AI with respect to your own business intelligence goals. What Is AI? AI or artificial intelligence is a branch of computer science that focuses on intelligence in computerized systems. Today, this intelligence is achieved mainly with the help of machine learning (ML) algorithms and large datasets fed to these algorithms. Discovering patterns in data, machines learn different tasks, from natural language processing and computer vision to complex decision-making. list a range of feasible real-world applications of this ability of ML models to learn. AI consultants from Iflexion The Value of AI for SMEs and Enterprise Companies The applications for AI are widespread, whether you’re an SME or an enterprise business. A study by analysts predicts that 80 percent of customer interactions will be managed by AI-powered chatbots and intelligent assistants by the year 2020. Improved customer experience and a reduction in operational costs are just a few of the benefits that companies, both big and small can expect when adopting an AI solution. Of course, businesses can also expect more comprehensive customer data and greater ease when it comes to translating that data into meaningful actions via machine learning. Gartner Enterprise organizations that choose to use an intelligent automation system can reduce costly redundancies and complexities in their operations; significantly improving company-wide efficiency and even reducing the amount of time that it takes to get products and services to market. According to , robotic process automation (RPA), a form of AI that uses software robots to automate processes, can even help businesses meet industry compliance regulations and improve internal auditing capabilities. PwC Many companies have more data than they know what to do with. For data-intensive companies, AI is an essential tool for smarter extraction and analysis of Big Data. Likewise, RPA can simplify the data process from beginning to end, covering everything from retrieving data, to aggregating it and even transferring it into documents. When coupled with machine learning for data analysis, the entire data process becomes more streamlined and less error-prone, ensuring a more accurate assessment of data and any derived insights. How Real Companies Are Using AI The power and profitability of AI hasn’t been lost on investors. A 2016 Technology Vision report by Accenture found that investments in artificial intelligence startups had increased 20x in the previous four years. Technology Industry leaders have also taken notice, investing billions of dollars in AI. alone has acquired more than 14 AI-based startups and has an entire division solely dedicated to advancements in this sector, complete with product lines ranging from cloud apps to smartphones and intelligent personal assistants. Google The transportation industry, specifically ride sharing applications like Uber and Lyft, also use AI. Machine learning is applied to help minimize ride wait times and match passengers with those going in the same direction, optimizing the customer experience while reducing driver mileage and traffic delays. Banking is an industry that heavily utilizes AI, applying it to everything from fraud detection and check depositing (which uses image recognition) to personal and business credit approval or rejection decisions. All of which, are based on data and the business intelligence that it provides. If you’ve ever used a streaming on-demand service like Netflix or Amazon, the movies and television program suggestions that you received were provided by a recommender system. This specialized machine learning algorithm is a form of AI. But major businesses aren’t the only ones using AI. SMEs and enterprise organizations are also using it to automate payroll and HR, effectively manage data and eliminating tedious and repetitive tasks that can be better performed by automation. The last of which can dramatically improve company efficiency. In fact, companies like have entire AI product lines that are designed to help almost any business save time and money. Salesforce The Future of Business Intelligence and AI The business landscape has become increasingly competitive. As a result, only those companies that actively seek out the most innovative technologies and processes can truly gain a competitive advantage. Right now, AI may seem like a nice-to-have tool but it is quickly becoming the standard for everything from data management to intelligent automation. Today, about 15 percent of all businesses use AI. However, a survey conducted by found that more than 30 percent of companies surveyed plan to add it to their agenda this year. Likewise, according to the , half of all of the largest companies (or those with more than 100K employees) already have a defined AI-based strategy. The message is clear: AI is here to stay. Adobe MIT Sloan Management Review Businesses that aren’t in the tech space may feel like AI just isn’t for them. But marketing, which impacts nearly every company, regardless of industry, is one area that is already being strongly influenced by AI. Bespoke, or one-to-one, marketing has the potential to change the way that brands connect with consumers in a profound way via highly personalized messages, applications and even customer services experiences. In fact, a study by found that 29 percent of respondents believe that consumer personalization will be the next big marketing trend. BrightEdge Conclusion AI is one of the hottest topics of the day. But it’s more than just a buzzword. This powerful technology is already revolutionizing the way that companies do business and interact with their customers. Understanding what AI is, how it can be of value and its future in the world of business intelligence is essential for any company that wants to gain a meaningful advantage in the increasingly tech-driven business world.

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