{"id":2040,"date":"2019-10-31T03:37:34","date_gmt":"2019-10-31T03:37:34","guid":{"rendered":"http:\/\/kusuaks7\/?p=1645"},"modified":"2024-03-06T16:13:50","modified_gmt":"2024-03-06T16:13:50","slug":"beyond-ai-hype-ai-once-stood-for-algorithmic-intelligence","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/beyond-ai-hype-ai-once-stood-for-algorithmic-intelligence\/","title":{"rendered":"Beyond AI hype: AI once stood for algorithmic intelligence"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tTo look beyond the AI hype, it is worth remembering that AI once stood for algorithmic intelligence, John Gentry tells Information Age\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\tAI could just as easily mean algorithmic intelligence\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\tAI this, AI that, ayeeee, I am not sure the term is always used correctly. You could say there is too much AI hype, you might as well say the tide always comes in. It is not a contentious thing to say, it just is. Maybe it would help if we re-defined it. Instead is saying AI means artificial intelligence, maybe we should return to an earlier definition, one untainted by Hollywood. Let\u2019s call it algorithmic intelligence, instead.\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\t\u201cArtificial intelligence is the application of algorithmic computation to large data sets,\u201d says\u00a0John Gentry<\/a>, Chief Technology Officer and Senior Vice President of Business Development for\u00a0Virtual Instruments<\/a>, a solutions provider delivering AIOps driven performance management for modern hybrid infrastructure.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\"What is AI? A simple guide to machine learning, neural networks, deep learning and random forests!\"<\/h4><\/h4>\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\tAt its core, AI, or let\u2019s call it algorithmic intelligence, is more than statistical pattern matching. Gentry explained: \u201cYou may be able to supply statistical pattern matching to understand that event X occurred simultaneously with event Y.\u00a0 But what you\u2019re trying to understand is whether X caused Y. And that\u2019s where it takes a much more advanced application, not just the statistical analysis but the context which, in some cases, actually is a derivative of the machine learning.\u201d\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\tAnd that takes us to machine learning. Most AI advocates agree that machine learning is a form of AI. Gentry words it subtly different: \u201cAI is the application of various algorithms and mathematical approaches to statistical analysis and heuristics and predicting outcomes; machine learning underpins that \u2014 it\u2019s the ongoing analysis of patterns to understand normality and as a result is able to have highly accurate anomaly detection.\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\t\u201cAnd in many cases, it\u2019s the combination of those two things that actually yield the desired outcome. So it\u2019s the machine learning at the core of an artificial intelligence approach that informs the application of that to the data set.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u00a0\"A history of AI; key moments in the story of AI\"<\/h4><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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AI is the word of the moment, or is that acronym of the moment? But where did the idea come from? We track key moments, discoveries and ideas in the history of AI<\/a><\/p>\n<\/blockquote>\nIn other words, by that definition, machine learning is not so much a part of AI, as what makes the current implementation of AI, possible.\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\t\u201cWhen I say true artificial intelligence, this is now taking an understanding of the relationships between the various aspects of that data, applying context to it, whilst choosing the right mathematical or algorithmic intelligence approach to derive a very deterministic or specific outcome.\u201d\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\tAI is clearly the buzz word of the moment. But actually, the idea is far from new.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u00a0\"Machine learning versus AI, and putting data science models into production\"<\/h4><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Machine learning is becoming the phrase that data scientists hide from CVs, putting a data science model into production is the biggest data challenge, and companies are still not getting it. We spoke to a data expert on the state of data science, and why machine learning is a more appropriate phrase than AI<\/a><\/p>\n<\/blockquote>\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\t\u201cIf you look at some parallels in the industry, 10, 15-years ago, people were doing supply chain management and logistics by looking at massive spreadsheets and applying some simple algebra and calculus.\u201d For example, understanding where and when we needed bread. \u201cAnd that was transformed from a quarterly process to a monthly process because the compute power improved, and doing that on a daily basis. Now it\u2019s ongoing streaming analytics approach, where the business is now predictive, not just understanding or analysing the past but leveraging those patterns, doing simulation theory to then predict the future. And that\u2019s just now being applied to the field of IT, which is why you have this resurgence of AI and ML conversations.\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\tJohn Gentry began life as an economist: he says that this discipline was one of the original users of what was then called: algorithmic intelligence. Economics involves the creation of complex models \u2014 whether it is the macroeconomy, or a specific ecosystem.\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\tGentry argues that economists, supply chain management and logistics professionals and the military have been using what was then called algorithmic intelligence for many years. Advances in computer power gave the technology a broader appeal, substitute the word artificial for algorithmic and you have got AI today.\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\tTo see through the hype, just remember that AI could just as easily mean algorithmic intelligence.\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":"

You could say there is too much AI hype. It is not a contentious thing to say, it just is. Maybe it would help if we re-defined it. Instead is saying AI means artificial intelligence, maybe we should return to an earlier definition, algorithmic intelligence, instead. Artificial intelligence is the application of algorithmic computation to large data sets. To see through the hype, just remember that AI could just as easily mean algorithmic intelligence.<\/p>\n","protected":false},"author":442,"featured_media":2518,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[97],"ppma_author":[2975],"class_list":["post-2040","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-artificial-intelligence"],"authors":[{"term_id":2975,"user_id":442,"is_guest":0,"slug":"michael-baxter","display_name":"Michael Baxter","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/?s=96&d=mm&r=g","user_url":"","last_name":"Baxter","first_name":"Michael","job_title":"","description":"Michael Baxter is Editor of Information Age<\/a>, Author, and economics and technology writer. He is also an accomplished public speaker, has spoken on disruptive technology, the economy, and Brexit at various locations in the UK and the US and facilitated conferences on GDPR and digital marketing."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/2040","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\/442"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=2040"}],"version-history":[{"count":4,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/2040\/revisions"}],"predecessor-version":[{"id":36266,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/2040\/revisions\/36266"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/2518"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=2040"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=2040"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=2040"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=2040"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}