{"id":2206,"date":"2020-01-21T03:03:38","date_gmt":"2020-01-21T03:03:38","guid":{"rendered":"http:\/\/kusuaks7\/?p=1811"},"modified":"2024-01-25T13:02:28","modified_gmt":"2024-01-25T13:02:28","slug":"why-ai-as-a-service-will-take-off-in-2020","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/why-ai-as-a-service-will-take-off-in-2020\/","title":{"rendered":"Why AI As A Service Will Take Off In 2020"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tThe combination of the SaaS business model and AI services could help bring AI to the masses without a heavy price tag. Could 2020 be the year AI as a Service takes off? I hope so\u2014and to some extent it already has\u2014but my excitement isn\u2019t only because of how AI can lead to greater efficiencies and better customer insights for businesses in nearly every industry. In my opinion, the future of digital transformation itself depends on democratization of the latest technologies. In 2020, AI won\u2019t just be nice to have, it will be a necessity.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u200b<\/p>\nRight now, advances in AI are racing ahead, and technologies like 5G and blockchain are making way for even greater developments\u2014the IoT,\u00a0real-time analytics<\/a>, etc. Sure, some areas of AI are lagging (hello, speech recognition). But by and large, AI is breaking new ground daily. For example, just\u00a0look at all the announcements at CES this week<\/a>\u2014everything is being connected, everything is creating data and all of that data will be used to power the future of customer experience or business optimization using the power of AI.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\tHowever, it\u2019s important to note that last part about customer experience and business optimization is so important because those groundbreaking developments means nothing unless companies can actually use the technology in the real world. That\u2019s what AI as a service is all about: making new technology accessible across the board, whether a company is big, small, tech-advanced, or on a budget.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tMicrosoft,\u00a0Google<\/a>,\u00a0Amazon<\/a>, and\u00a0IBM<\/a>\u00a0have stepped up as major players in the AI as a Service race. Because they each have large public cloud infrastructure and AI platforms, they\u2019re able to make AI as a Service a reality for those looking to use AI for everything from customer service to robotic process automation, marketing, analytics, predictive maintenance\u2014you name it. Technologists have been talking about AI as a Service in varying degrees for a few years now. The following are a few reasons it will finally pop in 2020.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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  • Demand is growing.<\/strong>\u00a0The secret is out. Businesses today can see the value AI is creating for their competitors, and the disruptions it\u2019s causing around the world. They know they need AI to meet growing customer expectations. It\u2019s estimated the global AI as a service market will hit\u00a0U.S. $6-7 billion by 2023. I honestly think that estimate is low. Once AI is democratized, we\u2019ll be seeing it pop up absolutely everywhere. And that\u2019s exactly where we are heading, especially in areas like AI-managed\u00a0customer service.<\/li>\n \t
  • The ecosystem is growing.<\/strong>\u00a0For AI to be optimized, it requires an\u00a0entire ecosystem<\/a>\u00a0of partners. A good example of this is how a player like AWS partners with NVIDIA to offer its GPUs in the cloud\u2014AI as a Service. Other examples could be an industrial tech company partnering with an analytics firm to deliver AI\/Analytics software platform as a service. Siemens and SAS have done this within Siemens Mindsphere offering by baking SAS analytics into its SaaS based Industrial IoT software platform. Businesses need their vendors\u2019 apps to be compatible\u2014which means they need infrastructure to be compatible\u2014which means they need technology that speaks common language and works together for common goals. As more and more providers enter the AI space, more businesses from every industry will be able to find solutions that fit their specific use-cases, making adoption more global, which will make AI as a service even more popular.<\/li>\n \t
  • Companies are catching up.<\/strong>\u00a0The legacy era is finally, generally, ending. Most companies understand that it\u2019s time to move forward, and AI offers the types of efficiencies they\u2019re looking for, be it through processing, data and storage, or cloud-based apps. Pretty soon, \u201cAI as a service\u201d will simply be what we know as \u201cservice\u201d on every front.<\/li>\n \t
  • SMBs require it.\u00a0<\/strong>AI as a service allows for advanced infrastructure at minimal cost. This is exactly what small and mid-sized businesses around the world need right now to compete against tech giants. AI as a service, in a way, is their only hope. However, cost can be prohibitive. Hiring the data scientists and standing up the complex infrastructure to build models and garner returns from AI will take significant resources that will be difficult for many large companies to compete, let alone small ones. Delivering AI in SaaS or PaaS layers whether an Autonomous Database that can self heal, self secure and drive like Oracle is touting, or a no-code\/low-code dev environment like Microsoft\u2019s Power Platform where companies can built custom chat bots for their website or automate a process without much (if any) real-world programming experience. These types of tools will be key to enabling smaller companies to consume the benefits of AI in the near term.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    \n\t\t\t\t\t\t\t\t\tBasically, AI allows companies to\u00a0use the power of AI without having to procure the expertise<\/a>\u00a0to manage it. In a time when there\u2019s a shortage of AI experts and ever-increasing competition in the marketplace, that\u2019s a huge workaround.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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    \n\t\t\t\t\t\t\t\t\tYes, as AI as a service become more popular, it will also become more popular for hackers and other \u201cbad guys<\/a>,\u201d creating complex security issues we all need to be more aware of. Still, there has never been a smarter way for today\u2019s businesses to begin harnessing the power of things like machine learning, deep learning, and natural language processing\u2014even if they\u2019re just getting their feet wet to see which new technologies are worth investing in long-term. To me, AI as a service is one of the biggest game-changers we\u2019ll see in digital transformation. Yes,\u00a0digital transformation is hard.<\/a>\u00a0It isn\u2019t always successful. But AI as a service could definitely improve a company\u2019s odds of experiencing success.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

    Could 2020 be the year AI as a Service takes off? To some extent it already has. AI can lead to greater efficiencies and better customer insights for businesses in nearly every industry. In 2020, AI won’t just be nice to have, it will be a necessity. AI as a service is one of the biggest game-changers we’ll see in digital transformation. Yes, as AI as a service becomes more popular, it will also become more popular for hackers. AI as a service could definitely improve a company’s odds of experiencing success.<\/p>\n","protected":false},"author":607,"featured_media":3409,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[183],"tags":[97],"ppma_author":[3224],"class_list":["post-2206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-artificial-intelligence"],"authors":[{"term_id":3224,"user_id":607,"is_guest":0,"slug":"daniel-newman","display_name":"Daniel Newman","avatar_url":"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/04\/medium_7789c161-9099-44fa-ab1a-1a09d25b81d7-150x150.jpg","author_category":"","user_url":"https:\/\/futurumresearch.com\/%20","last_name":"Newman","first_name":"Daniel","job_title":"","description":"Daniel Newman is Founder, partner and operator of 4 companies. He is Principal Analyst at Futurum Research, CEO at Broadsuite Media Group and President at Digital Agency V3B. He is also an author and contributor to some of the world\u2019s largest media outlets. A regular on Forbes, Entrepreneur and The Huffington Post, as well as the author of 5 Amazon Best Selling Books, he is also an Adjunct Professor of Management at North Central College."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/2206","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/607"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=2206"}],"version-history":[{"count":0,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/2206\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/3409"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=2206"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=2206"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=2206"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=2206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}