Recently, Information Age spoke to Falon Fatemi, founder of Node and she has a radical prediction about the future of AI, unsupervised deep learning is coming, she says.<\/p>\n
Right now, data scientists and humans are trying to create rules for what we can comprehend and then articulate to a machine, enabling machine learning. But in the future, it will be different, \u201cunsupervised deep learning is absolutely the future. I\u2019m 100% convinced of this,\u201d she says.<\/p>\n
We all know about the skills shortage in AI. It is one of the great ironies of AI and automation technologies. While the media fret about the impact such technologies will have on jobs, there is a massive shortage of talent required to work in the cutting edge of AI.<\/p>\n
\u201cThere\u2019s very few people \u2013 it\u2019s very technically challenging, there\u2019s maybe about 500 people on the planet who know how to leverage deep learning, let alone make anything commercially viable of it and make it scale,\u201d says \u201c Falon.<\/p>\n
\n<\/h4>\n
Letting AI networks off their leashes could instigate the future of deep learning, according to Peter Wallace, UK Commercial Director, GumGum<\/a><\/p><\/blockquote>\n
She cites the case of a raccoon to make her case.<\/p>\n
Teaching a computer, an AI system, what a raccoon is, is devilishly difficult. Defining the critter is challenge enough, multiply that problem out a trillion-fold or so, and that describes the problem of teaching AI what all the various complex entities are \u2014 be they raccoons or dung beetles.<\/p>\n
It all boils down to how we break down complex problems \u2014 \u201cwe break it down into steps \u2014 step 1, step 2, etcetera, but this is not the most optimal way to solve the problem.\u201d<\/p>\n
Intuitively we understand what a raccoon is, maybe because the brain works on a problem in parallel. We see the whole, the multitude of ways an animal is in fact a raccoon. Describe the creature, and we do it in stages.<\/p>\n
And that is why unsupervised deep learning is so exciting. \u201cUnsupervised models can essentially be trained on the knowledge that exists on the web, that we could never as humans digest and read. There\u2019s more information created in a single day than we could possibly absorb in a lifetime, but a machine can absolutely digest it, learn from it, understand it, and dynamically build knowledge of the world that we can then leverage.\u201d And that\u2019s what unsupervised deep learning means.<\/p>\n
It is inspiring stuff \u2014 but it\u2019s hard to resist asking the jobs question \u2014 won\u2019t such tech destroy jobs?<\/p>\n
\n<\/h4>\n
The chorus of voices claiming that AI won\u2019t destroy jobs is getting louder<\/a><\/p><\/blockquote>\n
\u201cI think what it does is it shifts our role (that\u2019s us, humans, remember them? \u2013 Ed) from doing manual work and research, the things that as humans we are not very good at, and that machines are much better at \u2014 so we focus on building relationships, and working on strategies.\u201c<\/p>\n
She gives an example: Sales development \u2013 in the sales world, a lot of time is spent acting as human crawlers. Sales personnel are researching, they\u2019re reading, and there\u2019s manual work that frankly machines are much more effective at and can actually scale and do it much more efficiently. So, as AI enters the enterprise and all these deep aspects come up to the top the funnel, this will change. The role then becomes more sophisticated, more to do with relationship-building, augmented by the AI. I think about 50% of sales people\u2019s time is spent doing manual, laborious research, but with unsupervised deep learning creating such powerful sales support, they can do the high value activities that drive the business.<\/p>\n
\n<\/h4>\n
Derek Lin, chief data scientist at Exabeam, provides his insights into artificial intelligence, machine learning, data science, cyber security and more<\/a><\/p><\/blockquote>\n
\u201cNode is the first AI-powered discovery engine that connects people with opportunity at massive scale. Node\u2019s proprietary deep learning tech acts as your artificial intuition, making sense of the relationships between billions of people and companies to identify those with the most opportunity for you.\u201d<\/p>\n
Node<\/a>\u00a0was founded by Google\u2019s youngest employee, Falon Fatemi, and its renowned technology team includes the Godfather of Search, Louis Monier and the inventor of the electronic mobile boarding pass system. Node is backed by Mark Cuban, NEA, Avalon Ventures, and Canaan Partners.<\/p>\n","protected":false},"excerpt":{"rendered":"
Recently, Information Age spoke to Falon Fatemi, founder of Node and she has a radical prediction about the future of AI, unsupervised deep learning is coming, she says. Right now, data scientists and humans are trying to create rules for what we can comprehend and then articulate to a machine, enabling machine learning. But in<\/p>\n","protected":false},"author":442,"featured_media":3807,"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-1505","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\/1505","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=1505"}],"version-history":[{"count":3,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/1505\/revisions"}],"predecessor-version":[{"id":30143,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/1505\/revisions\/30143"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/3807"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=1505"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=1505"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=1505"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=1505"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}