{"id":611935,"date":"2025-05-13T11:26:36","date_gmt":"2025-05-13T11:26:36","guid":{"rendered":"https:\/\/www.capgemini.com\/no-no\/?p=611935"},"modified":"2025-05-22T11:56:38","modified_gmt":"2025-05-22T11:56:38","slug":"7-business-lessons-from-ai-at-the-edge","status":"publish","type":"post","link":"https:\/\/www.capgemini.com\/no-no\/insights\/expert-perspectives\/7-business-lessons-from-ai-at-the-edge\/","title":{"rendered":"7 business lessons from AI at the edge"},"content":{"rendered":"\n

7 business lessons from AI at the edge<\/h1><\/div><\/div><\/div><\/div>
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ÎÚÑ»´«Ã½<\/h5>
June 2, 2021<\/h5><\/div><\/div>
<\/div><\/div><\/div><\/div><\/header>\n\n\n\n
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Zhiwei Jiang<\/a>, CEO, ÎÚÑ»´«Ã½ & Data and Ron Tolido<\/a>, CTO, ÎÚÑ»´«Ã½ & Data, ÎÚÑ»´«Ã½ give you seven fascinating examples of Edge AI, including the business lessons each of them holds.<\/em><\/strong><\/h5>\n\n\n\n

Data-powered enterprises use data, analytics, and AI to fulfill their corporate purpose, achieve their business objectives, and drive innovation. And in today\u2019s shaky world, they need to be like water<\/a> to get there: adaptive by design, hyper-agile, super-responsive. There\u2019s a place they find themselves increasingly to build and use these water-like capabilities: At the very outskirts of the business, far from central governance and IT, close to clients, partners, employees, the shop, the factory, the truck. It\u2019s out there in the field where up-to-date data needs to be collected in real-time, analyzed on the spot, and turned into split-second actions, without being dependent on a corporate backbone that simply is too slow and too far away.<\/p>\n\n\n\n

Edge AI \u2013 the use of AI in physical devices and all sort of other \u2018things\u2019 \u2013 is a perfect enabler for these new dynamics: Equipped with sensors and microprocessors, even the tiniest of things can collect data, analyze it with powerful AI algorithms (such as deep learning) and turn it into immediate action. And all of that is done with specialized technology that is typically inexpensive and has a small footprint in terms of power consumption. Moreover, it doesn\u2019t dependent on a continuous, high-bandwidth connection to a central network.<\/p>\n\n\n\n

Not all organizations may yet bet their future on Edge AI, if only because there is a minimum number of physical assets involved in their business model. Even then, current developments in Edge AI hold key business lessons about how to become water-like \u2018at the edge\u2019 of the enterprise \u2013 think about autonomous decisions, real-time responsiveness, saving energy, infinite scalability, data security, privacy-compliance, and always-on availability.<\/p>\n\n\n\n

Also, if nothing else, Edge AI use cases are simply compelling and inspiring. We have selected seven of our favorite examples to whet your appetite:<\/p>\n\n\n\n

1. Perseverance<\/strong><\/p>\n\n\n\n

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It seems Ingenuity stole the show, right? The small robotic helicopter made history with its first powered, controlled flight by an aircraft on another planet. Yet, it was brought to Mars by Perseverance. The rover managed to land safely with its unique Terrain Relative Navigation<\/a>, using AI image recognition to select an non-hazardous landing site in real-time. Not something that you can manage centrally, as the communication latency between Mars and Earth is 20 minutes. It\u2019s a powerful metaphor, showing how to achieve critical business responsiveness and adaptability without centralized control.<\/p>\n\n\n\n

2. Elephant Collar<\/strong><\/p>\n\n\n\n

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Elephants are an endangered species, illegally hunted for their ivory tusk and \u2013 even worse \u2013 just for fun. Edge AI is coming to the rescue to help preserve these gentle giants. Using a smart collar, various solutions<\/a> are built to detect human presence, monitor elephant activity, and carry out other intelligent, protective activities. The secret inside the collar is called TinyML: AI machine learning capabilities on very lightweight processors running on minimal power for an extensive period. The lesson: putting key activities at the edge of business can considerably save energy, traffic and bandwidth, reducing carbon footprint and cost.<\/p>\n\n\n\n

3.<\/strong> Electronic motorbike<\/strong><\/p>\n\n\n\n

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Back then, there were no electronic heavy motorbikes in Norway. So, our colleague Robert Engels built one himself<\/a>. Over the years, besides being fun to drive, it became a platform to test new, innovative hardware and software. Its latest addition: a built-in AI system (just above the taillight) that uses image recognition to detect approaching ambulances and police cars. Not to avoid speeding tickets, but to timely make way for emergency vehicles. Enterprises can take similar measures by detecting anomalies early \u00ad\u00ad\u2013 as and where they occur \u2013 rather than waiting for them to ripple through to a central authority.<\/p>\n\n\n\n

4. Mayflower<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

In ancient times, people believed that oceans marked the edge of a flat world. Indeed, quite an appropriate place to pioneer with Edge AI. IBM\u2019s Mayflower Autonomous Ship<\/a> is cramped with sensors and intelligent devices. First, to navigate the vast ocean with no one onboard, avoid obstacles, learn how to reach the next harbor. But also to collect and analyze key environmental data, for example regarding the whale population, micro plastics, and ocean chemistry. The enterprise lesson: Breakthrough, innovative insights are for the grab night and day at the edge of business. And no hands on deck needed to get it done.<\/p>\n\n\n\n

5. Drone Swarms<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

A drone is a fascinating machine. But how about lots of them, like a swarm? Take this swarm of autonomous drones<\/a> equipped with LiDAR (Light Detection and Ranging) sensors to map a whole forest, providing crucial insights for forest preservation. The AI algorithms have been trained in virtual, simulated environments to properly identify trees, but also to avoid collisions. Edge AI enables the swarm to explore a forest autonomously, yet offloading its collected data to the cloud afterwards for analytical purposes. Key learning? Scaling at the edge is easier, faster and more versatile than trying to stretch a central facility to its limits.<\/p>\n\n\n\n

6.<\/strong> Blue Eye<\/strong><\/p>\n\n\n\n

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Whether we like it or not, we\u2019ve all become quite familiar with the need for social distancing and wearing masks. In practice, it\u2019s difficult to ensure compliance to the rules, as it requires substantial manpower and may intrude personal privacy and data security. What if the solution came as a box, equipped with Edge AI? ÎÚÑ»´«Ã½\u2019s Blue Eye<\/a> has specialized Intel technology inside, using AI to detect insufficient distancing and unmasked faces. As it is not connected to a central system, privacy and security are 100% guaranteed \u2013 which is reassuring. What happens at the edge, stays at the edge \u2013 quite a solid business bet.<\/p>\n\n\n\n

7. Spaceborn Computer-2<\/strong><\/p>\n\n\n\n

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Talking about the edge: let\u2019s turn to space, the final frontier. The International Space Station (ISS) may be in a relatively low orbit, but the conditions are harsh, and Earth is far away. Now, powerful Edge AI has been rocketed onboard. HPE\u2019s rugged Spaceborne Computer-2<\/a> ingests data from a range of edge devices, including satellites and cameras, and has the AI to support astronauts in conducting a wide variety of experiments self-sufficiently. It\u2019s used to monitor the crew\u2019s health as well. Business takeaway: equip the outer rim of the enterprise with the best tools and capabilities, so they can explore for the rest of us.<\/p>\n\n\n\n

Edge AI is still evolving, and the technology may not already be suitable for every enterprise. But it is crystal clear what will drive the next wave of business innovation. It\u2019s Simply the Edge. And when it\u2019s unleashed, it\u2019s better than all the rest.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":103,"featured_media":611939,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"cg_dt_proposed_to":[],"cg_seo_hreflang_relations":"[]","cg_seo_canonical_relation":"","cg_seo_hreflang_x_default_relation":"{\"uuid\":\"d331f0d9-d317-4383-9df5-422e4b409b1a\",\"blogId\":\"\",\"domain\":\"\",\"sitePath\":\"\",\"postLink\":\"\",\"postId\":null,\"isSaved\":true,\"isCrossLink\":false,\"hasCrossLink\":false}","cg_dt_approved_content":true,"cg_dt_mandatory_content":false,"cg_dt_notes":"","cg_dg_source_changed":false,"cg_dt_link_disabled":false,"_yoast_wpseo_primary_brand":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","featured_focal_points":""},"categories":[1],"tags":[],"brand":[],"service":[110],"industry":[],"partners":[],"blog-topic":[124],"content-group":[],"class_list":["post-611935","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","service-data-ai","blog-topic-data-and-ai"],"yoast_head":"\n7 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