{"id":21042,"date":"2018-09-06T08:30:29","date_gmt":"2018-09-06T15:30:29","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=21042"},"modified":"2018-09-07T08:50:32","modified_gmt":"2018-09-07T15:50:32","slug":"interview-prasad-akella-founder-ceo-drishti","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/","title":{"rendered":"Interview: Prasad Akella, Founder and CEO of Drishti"},"content":{"rendered":"

\"\"I recently caught up with Prasad Akella, Founder and CEO of Drishti<\/a> to discuss how factory use of AI technology is gaining a lot of traction, and how his company uses the commercial application of action recognition and AI innovations to automatically digitize human actions inside the factory. Dr. Akella transformed manufacturing in the 1990s as leader of the General Motors team behind the world\u2019s first collaborative robots (\u201ccobots\u201d), projected to be a $12 billion market by 2025. With cobots, Akella advanced robotics to safely amplify workers\u2019 physical capabilities. With Drishti, Akella returns to the factory to again enhance workers\u2019 capabilities \u2014 this time, by driving advances in computer vision and AI.<\/em><\/p>\n

insideBIGDATA: <\/b><\/span>Factory use of AI technology is gaining a lot of traction. How does Drishti use the commercial application of action recognition and AI innovations to automatically digitize human actions inside the factory? I would assume the resulting data set to be quite massive.<\/p>\n

Prasad Akella:<\/strong><\/span> With 15 percent of GDP equivalent to $12T on the line, it\u2019s no surprise that practitioners of AI are targeting manufacturing, an admittedly unsexy backwater! Industry 4.0 has stirred excitement and action in the space.<\/p>\n

Having said that, I\u2019d like to take a bit of a detour and flag the obvious \u2013 that there are at least two big sources of data in the plant: human workers and machines. Interestingly, most of the efforts to date, including the huge investments in Industry 4.0, focus on the latter, for one main reason: Measuring what machines do is a whole lot easier. It\u2019s like the joke about the guy who just lost his contact lens in a dark alley looking for it on the corner, below \u00a0the street light \u2013 because \u201cThe light is better here!\u201d<\/p>\n

This misplaced interest in machines runs in the face of some stunning facts: 90 percent of manufacturing is still powered by people! So, 90 percent of variation is introduced by these humans, even as they create 90 percent of the value. Which means that sans any knowledge of manual production processes, the digital transformation of manufacturing is a figment of someone\u2019s imagination!<\/p>\n

Drishti is, therefore, focused on people, not machines. We digitize manual processes on the assembly line using computer vision and deep learning.<\/p>\n

And yes, you\u2019re absolutely correct about the size of our data sets: They are orders of magnitude larger than simple textual data.<\/p>\n

But it\u2019s not the size of the data set that\u2019s so important \u2013 it\u2019s the breadth. Currently, most manufacturers gather data on human operations by performing manual time and motion studies. They\u2019re essentially using the same techniques that were pioneered a hundred years ago by \u00a0Frederick Taylor and Frank and Lillian Gilbreth in the time of Henry Ford. Manual data collection efforts are both unscalable and susceptible to human error.<\/p>\n

What we\u2019re doing at Drishti is significant because we\u2019re accurately gathering data at a system-wide scale. And this data is being put to use in a number of important ways: First, it\u2019s given back to the operator to help him improve his performance to become more competitive against automation; and secondly, it\u2019s being given back to supervisors, engineers and other domains in the ecosystem around the operator to help them find new ways to improve quality and productivity.<\/p>\n

insideBIGDATA: <\/b><\/span>How are manufacturers using Drishti? It is a matter of providing an anchor to digital transformation, driving improvements in productivity, quality and traceability?<\/p>\n

Prasad Akella:<\/strong><\/span> While we\u2019ve been hearing about digital transformation in manufacturing for a long time, the reality is that the vast majority of manufacturers still aren\u2019t truly digital. Even the more advanced companies who have pursued automation as much as possible aren\u2019t yet digitizing the actions of their human workers. Drishti helps manufacturers do exactly that, and that makes our technology the most logical anchor when pursuing digital transformation.<\/p>\n

Drishti operates on the principle that humans will remain the primary driver of both value and variability on the factory floor for decades to come.<\/p>\n

True digital transformation requires manufacturers to look beyond automation to enhance, support and measure the most central element of their operations: their human workforce. Drishti\u2019s focus on extending and analyzing human capability has the potential to drive sweeping improvements in productivity, quality and traceability for manufacturers.<\/p>\n

Big Data has unlocked a lot of opportunity for manufacturers, and dramatically enhancing it with manufacturing process information about manual processes, computer vision, AI and machine learning provides new avenues of advancement. Suddenly, human action turns into data points, and data turns into insights. We\u2019re finding ways to pull information from sources that, until now, could never produce quantifiable data. So now the conversation shifts from automating that 90 percent of factory jobs that is being done manually \u2013 a monumental task that could take decades \u2013 to better understanding what\u2019s already being done in those roles at a more granular, actionable level.<\/p>\n

insideBIGDATA: <\/b><\/span>How are operators relying on Drishti? Is there an effort to become more consistent and efficient, becoming even more valuable on the factory floor?<\/p>\n

Prasad Akella:<\/strong><\/span> Operators work in a challenging, variable environment; despite these conditions, there\u2019s constant pressure to improve their metrics. Too often, a lack of available talent leads to holes in the line, which puts more pressure on each individual operator to perform at maximum efficiency. Most operators will embrace technology that helps them do their jobs better, and Drishti has proven that it\u2019s up to the challenge.<\/p>\n

There\u2019s a bit of a misconception in the media that operators in general are concerned about automation in the factory, because they\u2019re worried about losing their jobs to them. That isn\u2019t what we\u2019re seeing in practice \u2013 factory workers and plant managers alike are seeking automation that augments, not replaces, the human element. Drishti gives manufacturers a \u201csecond brain\u201d or \u201cthird eye\u201d to power them to higher throughput, better quality and more efficient results.<\/p>\n

We\u2019ve developed a man\/machine interface that helps workers learn faster, perform more accurately and make fewer mistakes. Ultimately, we\u2019re going to lift the perceived ceilings on human productivity and provide workers with meaningful, valuable work that also benefits their company. It\u2019s a win-win.<\/p>\n

insideBIGDATA: <\/b><\/span>Can you describe how you’re using AI, machine learning and computer vision to turn human actions into data?<\/p>\n

Prasad Akella:<\/strong><\/span> We\u2019re deploying what may be the world\u2019s first commercial application of action recognition. \u00a0Action recognition requires the machine to continuously observe a video stream and interpret actions that are taking place. Unlike object recognition, the current state of the art, which looks at a single frame and at <x, y> within the frame, action recognition requires examining <x, y, t> \u2013 a far more complex proposition. Not surprisingly, we\u2019re advancing the technology to a brand new level in deep learning and computer vision. In fact, our engineers are chomping at the bit to publish papers on the subject. Instead, we\u2019re patenting our technology and staying quiet about the technical details\u2026 for now.<\/p>\n

insideBIGDATA: <\/b><\/span>What is in store for the future with Drishti?<\/p>\n

Prasad Akella:<\/strong><\/span> Drishti represents true digital transformation: taking something that was previously unmeasurable and bringing it into the digital world. We\u2019re continuing the progression from craft manufacturing to mass production to lean manufacturing, by putting lean manufacturing on steroids. To draw a medical analogy, it\u2019s like doctors going from stethoscopes to ultrasound machines to MRI and CAT scan machines each step up gives deeper insights and improves our ability to impact outcomes.<\/p>\n

We\u2019re completely reimagining the way manufacturers do business, and soon you\u2019ll see the most forward-looking companies deploying Drishti as an integral part of their infrastructure, just as creform pipes are a part of the lean landscape. Further, they will realign their entire Kaizen process around these new datasets \u2013 using it to drive tens of percentage points of improvement and efficiency gains, not trying to eke out a basis point here and there. And, perhaps most importantly, the potential of humans will continue to be realized in an increasingly automated world. That\u2019s the future we\u2019re poised to help manufacturers discover.<\/p>\n

 <\/p>\n

Sign up for the free insideBIGDATA\u00a0newsletter<\/a>.<\/em><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

I recently caught up with Prasad Akella, Founder and CEO of Drishti to discuss how factory use of AI technology is gaining a lot of traction, and how his company uses the commercial application of action recognition and AI innovations to automatically digitize human actions inside the factory.<\/p>\n","protected":false},"author":37,"featured_media":21043,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,87,180,191,75,56,97,1],"tags":[324,447,95],"acf":[],"yoast_head":"\nInterview: Prasad Akella, Founder and CEO of Drishti - 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\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Interview: Prasad Akella, Founder and CEO of Drishti - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"I recently caught up with Prasad Akella, Founder and CEO of Drishti to discuss how factory use of AI technology is gaining a lot of traction, and how his company uses the commercial application of action recognition and AI innovations to automatically digitize human actions inside the factory.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/\" \/>\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=\"2018-09-06T15:30:29+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-09-07T15:50:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/08\/Prasad-Akella.png\" \/>\n\t<meta property=\"og:image:width\" content=\"200\" \/>\n\t<meta property=\"og:image:height\" content=\"174\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\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=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/\",\"url\":\"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/\",\"name\":\"Interview: Prasad Akella, Founder and CEO of Drishti - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2018-09-06T15:30:29+00:00\",\"dateModified\":\"2018-09-07T15:50:32+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Interview: Prasad Akella, Founder and CEO of Drishti\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning & 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. Follow his data science musings at @AMULETAnalytics.\",\"sameAs\":[\"http:\/\/www.insidebigdata.com\",\"https:\/\/twitter.com\/@AMULETAnalytics\"],\"url\":\"https:\/\/insidebigdata.com\/author\/dangutierrez\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Interview: Prasad Akella, Founder and CEO of Drishti - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/","og_locale":"en_US","og_type":"article","og_title":"Interview: Prasad Akella, Founder and CEO of Drishti - insideBIGDATA","og_description":"I recently caught up with Prasad Akella, Founder and CEO of Drishti to discuss how factory use of AI technology is gaining a lot of traction, and how his company uses the commercial application of action recognition and AI innovations to automatically digitize human actions inside the factory.","og_url":"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2018-09-06T15:30:29+00:00","article_modified_time":"2018-09-07T15:50:32+00:00","og_image":[{"width":200,"height":174,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/08\/Prasad-Akella.png","type":"image\/png"}],"author":"Daniel Gutierrez","twitter_card":"summary_large_image","twitter_creator":"@AMULETAnalytics","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Daniel Gutierrez","Est. reading time":"7 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/","url":"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/","name":"Interview: Prasad Akella, Founder and CEO of Drishti - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2018-09-06T15:30:29+00:00","dateModified":"2018-09-07T15:50:32+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2018\/09\/06\/interview-prasad-akella-founder-ceo-drishti\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"Interview: Prasad Akella, Founder and CEO of Drishti"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning & 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. Follow his data science musings at @AMULETAnalytics.","sameAs":["http:\/\/www.insidebigdata.com","https:\/\/twitter.com\/@AMULETAnalytics"],"url":"https:\/\/insidebigdata.com\/author\/dangutierrez\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2018\/08\/Prasad-Akella.png","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-5to","jetpack-related-posts":[{"id":26791,"url":"https:\/\/insidebigdata.com\/2021\/07\/29\/above-the-trend-line-your-industry-rumor-central-for-7-29-2021\/","url_meta":{"origin":21042,"position":0},"title":"\u201cAbove the Trend Line\u201d \u2013 Your Industry Rumor Central for 7\/29\/2021","date":"July 29, 2021","format":false,"excerpt":"Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2021\/07\/Nick_Brestoff_Jul29b.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":25673,"url":"https:\/\/insidebigdata.com\/2021\/02\/21\/my-robot-brings-all-the-boys-to-the-yard-its-ai-is-better-than-yours\/","url_meta":{"origin":21042,"position":1},"title":"My Robot Brings All the Boys to the Yard, Its AI is Better than Yours","date":"February 21, 2021","format":false,"excerpt":"In this special guest feature, Aviran Yaacov, CEO, and Co-founder of EcoPlant, believes that both AI and ML technologies are making impactful strides in manufacturing, and there is no time like the present for manufacturers to get on board and explore ways to transform their processes to benefit across all\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2021\/02\/Aviran-Yaacov.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":23476,"url":"https:\/\/insidebigdata.com\/2019\/10\/23\/new-nvidia-egx-edge-supercomputing-platform-accelerates-ai-iot-5g-at-the-edge\/","url_meta":{"origin":21042,"position":2},"title":"New NVIDIA EGX Edge Supercomputing Platform Accelerates AI, IoT, 5G at the Edge","date":"October 23, 2019","format":false,"excerpt":"NVIDIA announced the NVIDIA EGX Edge Supercomputing Platform \u2013 a high-performance, cloud-native platform that lets organizations harness rapidly streaming data from factory floors, manufacturing inspection lines and city streets to securely deliver next-generation AI, IoT and 5G-based services at scale, with low latency.","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":22277,"url":"https:\/\/insidebigdata.com\/2019\/03\/16\/anotherbrain-reveals-a-new-generation-of-artificial-intelligence\/","url_meta":{"origin":21042,"position":3},"title":"AnotherBrain Reveals a New Generation of Artificial Intelligence","date":"March 16, 2019","format":false,"excerpt":"AnotherBrain is bringing its Organic AI\u2122 technology that can transform every sensor into a smart sensor for use in industrial automation, automotive and IoT markets. AnotherBrain\u2019s technology is explainable by design, uses low energy, and low data in order to make the deployment of artificial intelligence (AI) in factory and\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":30378,"url":"https:\/\/insidebigdata.com\/2022\/09\/15\/how-can-dentistry-benefit-from-ai-its-all-in-the-data\/","url_meta":{"origin":21042,"position":4},"title":"How Can Dentistry Benefit from AI? It\u2019s All in the Data","date":"September 15, 2022","format":false,"excerpt":"In this special guest feature, Florian Hillen, founder and CEO, VideaHealth, points out that Like many other industries within the healthcare ecosystem, dentistry is beginning to adopt artificial intelligence (AI) solutions to improve patient care, lower costs, and streamline workflows and care delivery. While the dental profession is no stranger\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2022\/09\/FlorianHillen-1.jpeg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":33092,"url":"https:\/\/insidebigdata.com\/2023\/08\/10\/improving-product-quality-with-ai-based-video-analytics-hpe-nvidia-and-relimetrics-automate-quality-control-in-european-manufacturing-facility\/","url_meta":{"origin":21042,"position":5},"title":"Improving Product Quality with AI-based Video Analytics: HPE, NVIDIA and Relimetrics Automate Quality Control in European Manufacturing Facility","date":"August 10, 2023","format":false,"excerpt":"Manufacturers are using the power of AI and video analytics to enable better quality control and traceability of quality issues, bringing them one step closer to achieving zero defects and reducing the downstream impacts of poor product quality. Together, HPE, NVIDIA and Relimetrics enable customers to adapt to high production\u2026","rel":"","context":"In "AI Deep Learning"","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/08\/Data_center_shutterstock_1062915266_special.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/21042"}],"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=21042"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/21042\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/21043"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=21042"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=21042"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=21042"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}