{"id":9963,"date":"2019-11-28T19:32:08","date_gmt":"2019-11-29T00:32:08","guid":{"rendered":"https:\/\/digital.hbs.edu\/platform-digit\/submission\/uptake-making-heavy-equipment-a-bit-smarter\/"},"modified":"2019-11-28T19:32:08","modified_gmt":"2019-11-29T00:32:08","slug":"smarter-healthier-more-productive-how-uptake-is-revolutionizing-heavy-industries-with-aiiot","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/smarter-healthier-more-productive-how-uptake-is-revolutionizing-heavy-industries-with-aiiot\/","title":{"rendered":"Smarter, healthier, more productive: how Uptake is revolutionizing heavy industries with AI+IoT"},"content":{"rendered":"<p style=\"text-align: center\"><iframe loading=\"lazy\" title=\"Expanding On : The Platform\" width=\"640\" height=\"360\" src=\"https:\/\/www.youtube.com\/embed\/oB1rQiu73ys?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Uptake is leading the way for equipment and factories to transform into the digital era, with applications across multiple industrial sectors such as automobile, logistics, manufacturing, defense, energy, mining, agriculture, to name a few. Uptake\u2019s Industrial AI and Machine Learning Platform leverages data science to turn large amounts of untapped IoT raw data across enterprises into actionable insight, creating higher levels of manufacturing quality, vehicle efficiency, dealer service and customer experience. [1]<\/p>\n<p>Brad Keywell founded five other companies before Uptake, including Groupon. With a visionary, serial-entrepreneur CEO Uptake was launched in 2014 and quickly reached the stars. Four years after, the predictive analytics software provider grew from 50 employees to 450, and it has become the fastest startup to reach a US$2b valuation. [2]<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-9968\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U2.png\" alt=\"\" width=\"640\" height=\"582\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U2.png 640w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U2-300x273.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U2-600x546.png 600w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p>Initially focused on the construction and mining sectors, Uptake attracted heavy equipment OEM Caterpillar as one of its first and strongest backers. However, as the company realized of the massive potential throughout multiple other industrial settings, the partnership fell apart and Caterpillar exited its investment in 2017. <em>&#8220;To align with the updated business arrangement and to enable Uptake to pursue additional opportunities, Uptake will redeem Caterpillar\u2019s minority investment in Uptake.&#8221;<\/em> [3]<\/p>\n<p>The company now serves dozens industrial clients around the world helping them determine when a piece of equipment is not performing well or about to break down. With IoT sensors Uptake collects data from industrial machinery which it then analyzes using data-science models to predict problems before they occur. [4]<\/p>\n<p><strong>&#8220;We know more about industrial assets than anyone in the world.&#8221;\u00a0<\/strong><\/p>\n<p>Uptake counts with a huge database of machine failures at its disposal: they claim to cover 800+asset types and to know the 58,000+ ways machines can fail and how to stop it from happening. [5] \u201cThere is no more guesswork or operating blindly involved,\u201d says Keywell. [6]\u00a0Its platform&#8217;s core functionality is the recognition of patterns that can be organized by machine type, subsystem, and failure mode. <em>&#8220;For example, a library of known failure modes for diesel engines can be referenced and mapped to a signature of identified machine fault codes or alarms. Furthermore, because this pattern recognition is automated, it is consistently replicated across an entire fleet and an ever-expanding library of failure modes&#8221;<\/em>, says Zack Novak, Uptake&#8217;s VP of Construction, Agriculture and Mining. [7]<\/p>\n<p style=\"text-align: center\"><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U3.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-9969\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U3-1024x459.png\" alt=\"\" width=\"640\" height=\"287\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U3-1024x459.png 1024w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U3-300x134.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U3-768x344.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U3-600x269.png 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U3.png 1232w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><b>Three concrete examples of Uptake teaching industrials how to mine data, not just dirt<\/b><\/p>\n<p><span style=\"text-decoration: underline\">Fleet management:<\/span> Uptake is helping fleets reduce unplanned downtime and maintenance. <em>&#8220;Trucks do not have to break down. Downtime should be rare and predictable\u201d<\/em> says Braden Pastalaniec, head of fleet AI at Uptake. <em>&#8220;The true cost of downtime is somewhere between $450 to $800 per day per vehicle not including the impact on customer satisfaction.&#8221;<\/em> Uptake&#8217;s platform goes beyond simply monitoring fault codes; it can monitor simultaneous streams of data in real time such as engine speed, engine oil temperature, and engine coolant temperature and identify abnormal patterns. <em>\u201cFuel is the second biggest expense for most fleets, and we know that well maintained trucks save fuel.\u201d <\/em>[8]<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U5.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-9970\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U5-1024x379.png\" alt=\"\" width=\"640\" height=\"237\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U5-1024x379.png 1024w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U5-300x111.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U5-768x285.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U5-600x222.png 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U5.png 1274w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><span style=\"text-decoration: underline\">Mining:<\/span> Chile&#8217;s state-owned Codelco is working with Uptake to deploy an AI-based system that will manage and predict the condition of much of its equipment and infrastructure. [9] Under the partnership, Uptake&#8217;s platform will interact with mining and processing equipment the Ministro Hales mine in the arid Atacama desert in northern Chile, covering anything from grinding mills, roasters, crushers, pumps to haul trucks and electric shovels. [10] Through a partnership with Symboticware, Uptake leverages the SymBot device to capture and analyze valuable data at many of these non-IoT-enabled dirty machines. This hardware-software combination is set to boost the productivity of mobile mining equipment through data collection from sensors, benchmarking and pre-trained AI models. [11]\u00a0According to Ash Agarwal, Director of Mining at Uptake, <em>&#8220;for an average medium-sized mining site, Uptake&#8217;s Asset IO can save as much as $2.5 million\/y in haul truck maintenance, fuel and tyre costs alone.&#8221; <\/em>[12]<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U7.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-9972\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U7-1024x351.png\" alt=\"\" width=\"640\" height=\"219\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U7-1024x351.png 1024w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U7-300x103.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U7-768x264.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U7-600x206.png 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U7.png 1349w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p><span style=\"text-decoration: underline\">Defense:<\/span> U.S. Marines are using Uptake&#8217;s Asset IO application to provide predictive maintenance and other insights into the health of its M88 vehicles. During its work with the Army, Uptake was able to identify problems on the Army\u2019s Bradley Fighting Vehicles weeks before a maintenance failure actually occurred, and as a result was able to reduce maintenance costs and improve safety. [13]\u00a0<em>\u201cWith these actionable insights, the Army has increased operational availability, improved logistics, reduced maintenance costs, and improved safety for the men and women who serve America,\u201d<\/em> the company said. [14]<\/p>\n<p><a href=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U6.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-9971\" src=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U6-1024x375.png\" alt=\"\" width=\"640\" height=\"234\" srcset=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U6-1024x375.png 1024w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U6-300x110.png 300w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U6-768x282.png 768w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U6-600x220.png 600w, https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2019\/11\/U6.png 1279w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><\/p>\n<p>References:<\/p>\n<p>[1] <a href=\"https:\/\/www.arcweb.com\/blog\/jd-power-uptake-developing-analytics-products-automotive-industry\">https:\/\/www.arcweb.com\/blog\/jd-power-uptake-developing-analytics-products-automotive-industry<\/a><\/p>\n<p>[2] <a href=\"https:\/\/www.ey.com\/en_gl\/weoy\/ey-world-entrepreneur-of-the-year-2019-brad-keywell-us\">https:\/\/www.ey.com\/en_gl\/weoy\/ey-world-entrepreneur-of-the-year-2019-brad-keywell-us<\/a><\/p>\n<p>[3] <a href=\"https:\/\/www.americaninno.com\/chicago\/inno-news-chicago\/caterpillar-reportedly-ends-investment-deal-with-uptake\/\">https:\/\/www.americaninno.com\/chicago\/inno-news-chicago\/caterpillar-reportedly-ends-investment-deal-with-uptake\/<\/a><\/p>\n<p>[4] <a href=\"https:\/\/www.ey.com\/en_gl\/weoy\/ey-world-entrepreneur-of-the-year-2019-brad-keywell-us\">https:\/\/www.ey.com\/en_gl\/weoy\/ey-world-entrepreneur-of-the-year-2019-brad-keywell-us<\/a><\/p>\n<p>[5] <a href=\"https:\/\/www.uptake.com\/applications\/asset-io\">https:\/\/www.uptake.com\/applications\/asset-io<\/a><\/p>\n<p>[6] <a href=\"https:\/\/www.forbes.com\/sites\/jilliandonfro\/2019\/09\/17\/ai-50-americas-most-promising-artificial-intelligence-companies\/#722e0d8e565c\">https:\/\/www.forbes.com\/sites\/jilliandonfro\/2019\/09\/17\/ai-50-americas-most-promising-artificial-intelligence-companies\/#722e0d8e565c<\/a><\/p>\n<p>[7] <a href=\"https:\/\/www.curt.org\/how-ai-solves-the-data-overload-problem-in-the-construction-industry\/\">https:\/\/www.curt.org\/how-ai-solves-the-data-overload-problem-in-the-construction-industry\/<\/a><\/p>\n<p>[8] <a href=\"https:\/\/www.truckinginfo.com\/334027\/four-ways-ai-can-improve-fleet-maintenance\">https:\/\/www.truckinginfo.com\/334027\/four-ways-ai-can-improve-fleet-maintenance<\/a><\/p>\n<p>[9] <a href=\"https:\/\/www.mining-technology.com\/features\/copper-mining-tech\/\">https:\/\/www.mining-technology.com\/features\/copper-mining-tech\/<\/a><\/p>\n<p>[10] <a href=\"https:\/\/www.mining-journal.com\/innovation\/news\/1359598\/codelco-to-deploy-ai-solution\">https:\/\/www.mining-journal.com\/innovation\/news\/1359598\/codelco-to-deploy-ai-solution<\/a><\/p>\n<p>[11] <a href=\"https:\/\/www.miningmagazine.com\/simulation-optimisation\/news\/1373978\/uptake-symboticware-combine-ai-and-data-science\">https:\/\/www.miningmagazine.com\/simulation-optimisation\/news\/1373978\/uptake-symboticware-combine-ai-and-data-science<\/a><\/p>\n<p>[12] <a href=\"https:\/\/im-mining.com\/2019\/10\/18\/uptake-symboticware-provide-miners-predictive-maintenance-solution\/\">https:\/\/im-mining.com\/2019\/10\/18\/uptake-symboticware-provide-miners-predictive-maintenance-solution\/<\/a><\/p>\n<p>[13] <a href=\"https:\/\/www.americaninno.com\/chicago\/inno-news-chicago\/uptake-lands-contract-with-the-u-s-marine-corps\/?mc_cid=beeac79634&amp;mc_eid=eb8a5f6888\">https:\/\/www.americaninno.com\/chicago\/inno-news-chicago\/uptake-lands-contract-with-the-u-s-marine-corps\/?mc_cid=beeac79634&amp;mc_eid=eb8a5f6888<\/a><\/p>\n<p>[14] <a href=\"https:\/\/www.defenseone.com\/business\/2019\/11\/global-business-brief-november-07-2019\/161160\/\">https:\/\/www.defenseone.com\/business\/2019\/11\/global-business-brief-november-07-2019\/161160\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;WE KNOW WHAT FAILURE LOOKS LIKE. Our technology has seen millions of machine failures so you don\u2019t have to. Machines don\u2019t have to break.&#8221;<\/p>\n","protected":false},"author":11323,"featured_media":9966,"comment_status":"open","ping_status":"closed","template":"","categories":[1273,769,2527,1114,1997,2528,2248,304,366,343,1339],"class_list":["post-9963","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry","category-artificial-intelligence","category-construction","category-defense","category-energy","category-fleet","category-heavy-industry","category-industrial-internet-of-things","category-iot","category-machine-learning","category-manufacturing","category-mining","hck-taxonomy-organization-uptake","hck-taxonomy-industry-industrial-products","hck-taxonomy-country-united-states"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/value-creation-with-ai\/","yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Smarter, healthier, more productive: how Uptake is revolutionizing heavy industries with AI+IoT - Digital Innovation and Transformation<\/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:\/\/d3.harvard.edu\/platform-digit\/submission\/smarter-healthier-more-productive-how-uptake-is-revolutionizing-heavy-industries-with-aiiot\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Smarter, healthier, more productive: how Uptake is revolutionizing heavy industries with AI+IoT - Digital Innovation and Transformation\" \/>\n<meta property=\"og:description\" content=\"&quot;WE KNOW WHAT FAILURE LOOKS LIKE. 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