{"id":23061,"date":"2019-08-14T08:30:14","date_gmt":"2019-08-14T15:30:14","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=23061"},"modified":"2019-08-15T08:54:14","modified_gmt":"2019-08-15T15:54:14","slug":"the-ai-opportunity","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2019\/08\/14\/the-ai-opportunity\/","title":{"rendered":"The AI Opportunity"},"content":{"rendered":"\n<p>The tremendous growth in compute power and explosion of data is leading every industry to seek AI-based solutions. In this <a href=\"https:\/\/techdecoded.intel.io\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\">Tech.Decoded<\/a> video, \u201cThe AI Opportunity &#8211; Episode 1: The Compute Power Difference,\u201d Vice President of Intel Architecture and AI expert Wei Li shares his views on the opportunities and challenges in AI for software developers, how Intel is supporting their efforts, and where we\u2019re heading next.<\/p>\n\n\n\n<figure class=\"wp-block-embed-youtube wp-block-embed is-type-video is-provider-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\"  id=\"_ytid_92195\"  width=\"480\" height=\"270\"  data-origwidth=\"480\" data-origheight=\"270\" src=\"https:\/\/www.youtube.com\/embed\/rolXliiyhm0?enablejsapi=1&#038;autoplay=0&#038;cc_load_policy=0&#038;cc_lang_pref=&#038;iv_load_policy=1&#038;loop=0&#038;modestbranding=0&#038;rel=1&#038;fs=1&#038;playsinline=0&#038;autohide=2&#038;theme=dark&#038;color=red&#038;controls=1&#038;\" class=\"__youtube_prefs__  epyt-is-override  no-lazyload\" title=\"YouTube player\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>The AI software market is expected to reach US$105.8 billion per year worldwide by 2025. The explosion of data is a big reason why AI and deep learning have become so effective. Once you have a lot of data, then the compute resources necessary to process it becomes critical, but no single architecture is dominating all cases \u2013 CPUs and GPUs.  <\/p>\n\n\n\n<p>Intel takes a holistic approach to AI and machine learning in that the company provides both hardware and software to support AI from the cloud all the way to the edge.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><img decoding=\"async\" loading=\"lazy\" width=\"871\" height=\"249\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/08\/Intel_AI_opportunities_pic.png\" alt=\"\" class=\"wp-image-23062\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/08\/Intel_AI_opportunities_pic.png 871w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/08\/Intel_AI_opportunities_pic-150x43.png 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/08\/Intel_AI_opportunities_pic-300x86.png 300w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/08\/Intel_AI_opportunities_pic-768x220.png 768w\" sizes=\"(max-width: 871px) 100vw, 871px\" \/><\/figure><\/div>\n\n\n\n<p>Intel has been working on both the training side and inference side of AI. FPGAs have low latency as well as low power. But software is key to performance, especially for deep learning. The \u201ccustomers\u201d for deep learning are either data scientists or application developers. Data scientists are different from application developers as they have a high-level interface specifically designed for deep learning. As a result, Intel makes sure it has the best optimized frameworks on Intel platforms. Intel\u2019s goal is to make it is easier for everyone to apply AI.  <\/p>\n\n\n\n<p>To learn more about <a href=\"https:\/\/techdecoded.intel.io\/topics\/data-science\/#gs.uk2uek\">Intel data science solutions click here. <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The tremendous growth in compute power and explosion of data is leading every industry to seek AI-based solutions. In this Tech.Decoded video, \u201cThe AI Opportunity &#8211; Episode 1: The Compute Power Difference,\u201d Vice President of Intel Architecture and AI expert Wei Li shares his views on the opportunities and challenges in AI for software developers, how Intel is supporting their efforts, and where we\u2019re heading next.<\/p>\n","protected":false},"author":37,"featured_media":23068,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,87,210,773,1],"tags":[437,324,568,95],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The AI Opportunity - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2019\/08\/14\/the-ai-opportunity\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The AI Opportunity - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"The tremendous growth in compute power and explosion of data is leading every industry to seek AI-based solutions. In this Tech.Decoded video, \u201cThe AI Opportunity - Episode 1: The Compute Power Difference,\u201d Vice President of Intel Architecture and AI expert Wei Li shares his views on the opportunities and challenges in AI for software developers, how Intel is supporting their efforts, and where we\u2019re heading next.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2019\/08\/14\/the-ai-opportunity\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2019-08-14T15:30:14+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-08-15T15:54:14+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2019\/08\/big-data-analytics_SHUTTERSTOCK.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"195\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2019\/08\/14\/the-ai-opportunity\/\",\"url\":\"https:\/\/insidebigdata.com\/2019\/08\/14\/the-ai-opportunity\/\",\"name\":\"The AI Opportunity - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2019-08-14T15:30:14+00:00\",\"dateModified\":\"2019-08-15T15:54:14+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2019\/08\/14\/the-ai-opportunity\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2019\/08\/14\/the-ai-opportunity\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2019\/08\/14\/the-ai-opportunity\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"The AI Opportunity\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\",\"name\":\"Daniel Gutierrez\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"caption\":\"Daniel Gutierrez\"},\"description\":\"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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These new processors address an industry gap by providing customers with high-performance, high-efficiency deep learning compute choices for both\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/05\/Habana_Mezz_card.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/23061"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=23061"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/23061\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/23068"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=23061"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=23061"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=23061"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}