{"id":14443,"date":"2019-03-13T21:33:09","date_gmt":"2019-03-13T21:33:09","guid":{"rendered":"https:\/\/rsoftsolution.com\/blog\/determined-ai-nabs-11m-series-a-to-democratize-ai-development.html"},"modified":"2019-03-13T21:33:09","modified_gmt":"2019-03-13T21:33:09","slug":"determined-ai-nabs-11m-series-a-to-democratize-ai-development","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/determined-ai-nabs-11m-series-a-to-democratize-ai-development.html","title":{"rendered":"Determined AI nabs $11M Series A to democratize AI development"},"content":{"rendered":"<p id=\"speakable-summary\">Deep learning involves a highly iterative process where data scientists build models and test them on GPU-powered systems until they get something they can work with. It can be expensive and time-consuming, often taking weeks to fashion the right model. <a href=\"javascript:void(0)\">Determined AI<\/a>, a new startup wants to change that by making the process faster, cheaper and more efficient. It emerged from stealth today with $11 million in Series A funding.<\/p>\n<p>The round was led by <a href=\"javascript:void(0)\">GV <span class=\"crunchbase-tooltip-indicator\" \/><\/a> (formerly Google Ventures) with help from Amplify Partners, Haystack and SV Angel. The company also announced an earlier $2.6 million seed round from 2017 for a total $13.6 million raised to date.<\/p>\n<p>Evan Sparks, co-founder and CEO at <a href=\"javascript:void(0)\">Determined AI <span class=\"crunchbase-tooltip-indicator\" \/><\/a> says that up until now, only the largest companies like Facebook, Google, Apple and Microsoft could set up the infrastructure and systems to produce sophisticated AI like self-driving cars and voice recognition technologies. \u201cOur view is that a big reason why [these big companies] can do that is that they all have internal software infrastructure that enables their teams of machine learning engineers and data scientists to be effective and produce applications quickly,\u201d Sparks told TechCrunch.<\/p>\n<p>Determined\u2019s idea is to create software to handle everything from managing cluster compute resources to automating workflows, thereby putting some of that big-company technology in reach of any organization. \u201cWhat we exist to do is to build that software for everyone else,\u201d he said. The target market is Fortune 500 and Global 2000 companies.<\/p>\n<p>The company\u2019s solution is based on research conducted over the last several years at <a href=\"javascript:void(0)\">AmpLab<\/a> at the University of California, Berkeley (which is probably best known for developing <a href=\"javascript:void(0)\">Apache Spark<\/a>). It used the knowledge generated in the lab to build sophisticated solutions that help make better use of a customer\u2019s GPU resources.<\/p>\n<p>\u201cWe are offering kind of a base layer that is scheduling and resource sharing for these highly expensive resources, and then on top of that we\u2019ve layered some services around workflow automation.\u201d Sparks said the team has generated state of the art results that are somewhere between five and 50 times faster than the results from tools that are available to most companies today.<\/p>\n<p>For now, the startup is trying to help customers move away from generic kinds of solutions currently available to more customized approaches using Determined AI tools to help speed up the AI production process. The money from today\u2019s round should help fuel growth, add engineers and continue building the solution.<\/p>\n<p>Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/EMbkFxA1GGU\/<\/p>","protected":false},"excerpt":{"rendered":"<p>Deep learning involves a highly iterative process where data scientists build models and test them on GPU-powered systems until they get something they can work with. It can be expensive <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-14443","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"Deep learning involves a highly iterative process where data scientists build models and test them on GPU-powered systems until they get something they can work with. 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