๐ญ Industrial IoT + Generative AI ๐ค
Actual Case Studies, Insights and Perspectives >>>๐ฏ๐ฏ๐ฏ- September 2023 | @VINCI_DIgital
Olรก pessoal, tudo bem?
Are we really on the cusp of another technology [r]evolution, or we are still in an exploratory phase, where not only the "rules of the game" are changing every week/day, but also where Generative AI use cases still need to prove their actual value at scale for the enterprises, as Sequoia Capital latest report suggests?
Based on IIoT + GenAI applications developments, and on several successful B2B solutions deployments [most of them still pilots, by the way...], I am confident that we are not facing another digital bubble, but still not sure about how fast this deep technology [and cultural/mindset] shift will actually happen...
>>> It's not a matter of IF, but WHEN!
"However, Amaraโs Lawโthe phenomenon that we tend to overestimate the effect of a technology in the short run and underestimate the effect in the long runโis running its course." Sonya Huang, Partner Sequoia Capital
Enjoy the reading and, please, let me know your thoughts!
Ciao, Fabio
#industrial #iot #iiot #industry40 #i40 #ai #aiot #ml #generativeai #genai #llms #transformers #casestudies #insights #perspectives #newsletterย
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๐๐จ๐ฐ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐ ๐๐๐ฅ๐ฉ๐๐ ๐๐ซ๐๐ข๐ง Amazon One ๐๐จ ๐๐๐๐จ๐ ๐ง๐ข๐ณ๐ ๐๐จ๐ฎ๐ซ ๐๐๐ฅ๐ฆ: ๐๐ฐ ๐ธ๐ข๐ญ๐ญ๐ฆ๐ต, ๐ฏ๐ฐ ๐ฑ๐ฉ๐ฐ๐ฏ๐ฆ, ๐ฏ๐ฐ ๐ฑ๐ณ๐ฐ๐ฃ๐ญ๐ฆ๐ฎ. ๐ ๐ฏ๐ฆ๐ถ๐ณ๐ข๐ญ ๐ฏ๐ฆ๐ต๐ธ๐ฐ๐ณ๐ฌ ๐ญ๐ฆ๐ข๐ณ๐ฏ๐ฆ๐ฅ ๐ง๐ณ๐ฐ๐ฎ ๐ช๐ฎ๐ข๐จ๐ฆ๐ด ๐ฐ๐ง ๐ฎ๐ช๐ญ๐ญ๐ช๐ฐ๐ฏ๐ด ๐ฐ๐ง ๐ข๐ณ๐ต๐ช๐ง๐ช๐ค๐ช๐ข๐ญ ๐ฉ๐ข๐ฏ๐ฅ๐ด ๐ต๐ฐ ๐ข๐ค๐ฉ๐ช๐ฆ๐ท๐ฆ ๐ข๐ค๐ค๐ถ๐ณ๐ข๐ค๐บ ๐ฉ๐ช๐จ๐ฉ๐ฆ๐ณ ๐ต๐ฉ๐ข๐ฏ ๐ด๐ค๐ข๐ฏ๐ฏ๐ช๐ฏ๐จ ๐ต๐ธ๐ฐ ๐ช๐ณ๐ช๐ด๐ฆ๐ด. ๐๐๐
Via Amazon / Amazon Web Services (AWS) - By Gerard Medioni , ๐๐ช๐ค๐ฆ ๐๐ณ๐ฆ๐ด๐ช๐ฅ๐ฆ๐ฏ๐ต ๐ข๐ฏ๐ฅ ๐๐ช๐ด๐ต๐ช๐ฏ๐จ๐ถ๐ช๐ด๐ฉ๐ฆ๐ฅ ๐๐ค๐ช๐ฆ๐ฏ๐ต๐ช๐ด๐ต, ๐๐๐ ๐๐ฑ๐ฑ๐ญ๐ช๐ค๐ข๐ต๐ช๐ฐ๐ฏ๐ด | September 1, 2023 | @VINCI_Digital
๐นGenerative artificial intelligence (generative AI) has recently captured the worldโs imagination with feats like summarizing text, writing marketing materials, and composing code.
๐นToday I want to tell you how, much before the current buzz around generative AI, we leveraged it to reimagine the future of convenience in shopping, entertainment, and access.
My team and I like to build experiences for customers that feel like magic. Amazon One, which combines cutting-edge biometrics, optical engineering, generative AI, and machine learning, fits the bill perfectly. - Gerard Medioni, VP & Distinguished Scientist @Amazon/AWS Applications
Synthetic data boosts accuracy of Amazon One
๐นAmazon One is a fast, convenient, and contactless experience that enables customers to leave their wallets (and even their phones) at home.
๐นThey can instead use the palm of their hand for everyday activities like paying at a store, presenting a loyalty card, verifying their age, or entering a venue.
๐นCurrently,ย Amazon One is being rolled out to more than 500 Whole Foods Market storesย and dozens of third-party locations, including travel retailers, sports and entertainment venues, convenience stores, and grocers.
๐นAt each location, you will see a small deviceย Amazon Oneโa type of scanner that uses infrared lightโto recognize the unique lines, grooves, and ridges on your palm, and the pulsating network of veins just under the skin.
๐นThe system uses this information to create your palm signature, or a unique numerical vector representation, and connects it to your credit card or your Amazon account.
Source:ย https://bit.ly/3Z9DiZp
#industrial #iot #iiot #industry40 #ai #aiot #ml #generatieveai #genai #amazon #amazonone #neuralnetwork #biometrics #opticalengineering #contactless #experience #palm #signature #plamsignature
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Toyota Research Institute Unveils Breakthrough in Teaching Robots New Behaviors
Via Toyota Motor Corporation | September 19, 2023 | @VINCI_Digital
Today, Toyota Research Institute (TRI) announced a breakthrough generative AI approach based on Diffusion Policy to quickly and confidently teach robots new, dexterous skills.
๐นThis advancement significantly improves robot utility and is a step towards building โLarge Behavior Models (LBMs)โ for robots, analogous to the Large Language Models (LLMs) that have recently revolutionized conversational AI.
โOur research in robotics is aimed at amplifying people rather than replacing them,โ said Gill Pratt, CEO of TRI and Chief Scientist for Toyota Motor Corporation. โThis new teaching technique is both very efficient and produces very high performing behaviors, enabling robots to much more effectively amplify people in many ways.โ
๐นPrevious state-of-the-art techniques to teach robots new behaviors were slow, inconsistent, inefficient, and often limited to narrowly defined tasks performed in highly constrained environments.
๐นRoboticists needed to spend many hours writing sophisticated code and/or using numerous trial and error cycles to program behaviors.
๐นTRI has already taught robots more than 60 difficult, dexterous skills using the new approach, including pouring liquids, using tools, and manipulating deformable objects.
๐นThese achievements were realized without writing a single line of new code; the only change was supplying the robot with new data.
๐นBuilding on this success, TRI has set an ambitious target of teaching hundreds of new skills by the end of the year and 1,000 by the end of 2024.
๐นTodayโs news also highlights that robots can be taught to function in new scenarios and perform a wide range of behaviors. These skills are not limited to just โโpick and placeโ or simply picking up objects and putting them down in new locations.
๐นTRIโs robots can now interact with the world in varied and rich ways โ which will one day allow robots to support people in everyday situations and unpredictable, ever-changing environments.
Teaching Robots New Behaviors
โThe tasks that Iโm watching these robots perform are simply amazing โ even one year ago, I would not have predicted that we were close to this level of diverse dexterity,โ remarked Russ Tedrake, Vice President of Robotics Research at TRI.
Dr. Tedrake, who is also the Toyota Professor of Electrical Engineering and Computer Science, Aeronautics and Astronautics, and Mechanical Engineering at Massachusetts Institute of Technology, explained,
โWhat is so exciting about this new approach is the rate and reliability with which we can add new skills. Because these skills work directly from camera images and tactile sensing, using only learned representations, they are able to perform well even on tasks that involve deformable objects, cloth, and liquids โ all of which have traditionally been extremely difficult for robots.โ
Sources: https://pressroom.toyota.com/toyota-research-institute-unveils-breakthrough-in-teaching-robots-new-behaviors/ https://www.tri.global/news/toyota-research-institute-unveils-breakthrough-teaching-robots-new-behaviors
#industrialย #iotย #iiotย #aiย #aiotย #mlย #generativeaiย #genaiย #foundationmodels #largelanguagemodels #llm #llms #transformers #largebehaviormodels #lbms #teaching #robots #behaviors #tri #mit
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๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐โ๐ฌ ๐๐๐ญ ๐๐ฐ๐จ: ๐๐ฏ๐ฆ ๐บ๐ฆ๐ข๐ณ ๐ข๐จ๐ฐ, ๐ธ๐ฆ ๐ฑ๐ถ๐ฃ๐ญ๐ช๐ด๐ฉ๐ฆ๐ฅ ๐ข ๐ฉ๐บ๐ฑ๐ฐ๐ต๐ฉ๐ฆ๐ด๐ช๐ด ๐ต๐ฉ๐ข๐ต ๐จ๐ฆ๐ฏ๐ฆ๐ณ๐ข๐ต๐ช๐ท๐ฆ ๐๐ ๐ธ๐ฐ๐ถ๐ญ๐ฅ ๐ฃ๐ฆ๐ค๐ฐ๐ฎ๐ฆ ๐ข ๐ฑ๐ณ๐ฐ๐ง๐ฐ๐ถ๐ฏ๐ฅ ๐ฑ๐ญ๐ข๐ต๐ง๐ฐ๐ณ๐ฎ ๐ด๐ฉ๐ช๐ง๐ต ๐ช๐ฏ ๐ต๐ฆ๐ค๐ฉ๐ฏ๐ฐ๐ญ๐ฐ๐จ๐บ. ๐๐ฉ๐ฆ๐ฏ ๐ค๐ข๐ฎ๐ฆ ๐ต๐ฉ๐ฆ ๐ง๐ช๐ณ๐ฆ๐ด๐ต๐ฐ๐ณ๐ฎ. ๐๐๐
Via Sequoia Capital / By Sonya Huang & Pat Grady | September 20, 2023 | @VINCI_Digital
๐๐จ๐ฐ๐๐ซ๐๐ฌ ๐๐๐ญ ๐๐ฐ๐จ
๐นGenerative AIโs first year out the gateโโ๐๐ค๐ต 1โโcame from theย technology-out. We discovered a new โ๐ฉ๐ข๐ฎ๐ฎ๐ฆ๐ณโโfoundation modelsโand unleashed a wave of novelty apps that were lightweight demonstrations of cool new technology.
"We now believe the market is entering โ๐๐ค๐ต 2โโwhich will be from theย customer-back. Act 2 will solve human problems end-to-end. These applications are different in nature than the first apps out of the gate. They tend to use foundation models as a piece of a more comprehensive solution rather than the entire solution. They introduce new editing interfaces, making the workflows stickier and the outputs better. They are often multi-modal." Sonya Huang & Pat Grady, Partners @Sequoia Capital
๐นThe market is already beginning to transition from โ๐๐ค๐ต 1โ to โ๐๐ค๐ต 2.โ Examples of companies entering โ๐๐ค๐ต 2โ include Harvey, which is building custom LLMs for elite law firms; Glean, which is crawling and indexing our workspaces to make Generative AI more relevant at work; and Character.AIย and Ava, which are creating digital companions.
๐๐๐ญ ๐๐ฐ๐จ: ๐ ๐๐ก๐๐ซ๐๐ ๐๐ฅ๐๐ฒ๐๐จ๐จ๐ค
๐นFounders are embarking on the hard work of prompt engineering, fine tuning and dataset curation to make their AI products ๐ ๐จ๐จ๐. Brick by brick, they are building flashy demos into whole product experiences. And meanwhile, the foundation model substrate continues to brim with research and innovation.
๐นA shared playbook is developing as companies figure out the path to enduring value. We now have shared techniques to make models useful, as well as emerging UI paradigms that will shape generative AIโs second act.
Source: https://lnkd.in/dGA7Rfe5ย
#industrialย #iotย #iiotย #aiย #aiotย #mlย #generativeaiย #genaiย #foundationmodels #largelanguagemodels #llm #llms #transformers
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๐๐ก๐ข๐ฌ [Italian] ๐๐ญ๐๐ซ๐ญ๐ฎ๐ฉ ๐๐ฌ ๐๐ฎ๐ข๐ฅ๐๐ข๐ง๐ ๐ญ๐ก๐ ๐๐ง๐ญ๐๐ซ๐ง๐๐ญ ๐จ๐ ๐๐ง๐๐๐ซ๐ฐ๐๐ญ๐๐ซ ๐๐ก๐ข๐ง๐ ๐ฌ >>> WSENSEโ๐ด ๐ช๐ฏ๐ฏ๐ฐ๐ท๐ข๐ต๐ช๐ท๐ฆ ๐ฏ๐ฆ๐ต๐ธ๐ฐ๐ณ๐ฌ๐ช๐ฏ๐จ ๐ด๐บ๐ด๐ต๐ฆ๐ฎ๐ด ๐ข๐ณ๐ฆ ๐ต๐ณ๐ข๐ฏ๐ด๐ง๐ฐ๐ณ๐ฎ๐ช๐ฏ๐จ ๐ฉ๐ฐ๐ธ ๐ธ๐ฆ ๐ฆ๐น๐ฑ๐ญ๐ฐ๐ณ๐ฆ ๐ฐ๐ค๐ฆ๐ข๐ฏ ๐ฆ๐ฏ๐ท๐ช๐ณ๐ฐ๐ฏ๐ฎ๐ฆ๐ฏ๐ต๐ด ๐๐๐
Via IEEE Spectrum ย | September 6, 2023 | @VINCI_Digital
WSENSE COP26 PRESENTATION VIDEO
๐นScience thrives on data. As such, the emergence of the Internet of Things (IoT) brought about a fantastic revolution. Billions of โintelligent objectsโ packed with sensors are connected to each other and to servers, capturing and exchanging, in real time, huge amounts of data.
๐นAnalyzed, accessible, and shareable worldwide, these data enable researchers to observe and understand our planet like never before. Well, not all of our planet:
IoT does not connect us to seas and oceans.
๐นThis blind spot is rather striking. Water covers 72 percent of the Earthโs surface, its volumes host 80 percent of biodiversity and play a pivotal role in global phenomena, such asย climate change. It is impossible to claim a global vision without integrating the oceans.
๐๐ข๐จ๐ง๐๐๐ซ๐ข๐ง๐ ๐ฎ๐ง๐๐๐ซ๐ฐ๐๐ญ๐๐ซ ๐ง๐๐ญ๐ฐ๐จ๐ซ๐ค ๐ญ๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ
๐นThere are a few marine research stations scattered around the globe (like needles in algal stacks). An increasing number of intelligent marine objects have also been created (sensors, buoys, autonomous vehicles, probes).
๐นThe foundations of an underwater wireless network are also being set up, which should be as accessible and reliable as the IoT, the Internet of Underwater Things [ #IoUT ]. A pioneer in the field, Italian company WSENSE has had favorable currents this year.
๐นThe adventure of the startup began at theย Sapienza Universitร di Roma, whereย Professor Chiara Petrioliย is in charge of a research laboratory.
โ๐๐ฆ ๐ด๐ต๐ข๐ณ๐ต๐ฆ๐ฅ ๐ญ๐ฐ๐ฐ๐ฌ๐ช๐ฏ๐จ ๐ช๐ฏ๐ต๐ฐ ๐ถ๐ฏ๐ฅ๐ฆ๐ณ๐ธ๐ข๐ต๐ฆ๐ณ ๐ฏ๐ฆ๐ต๐ธ๐ฐ๐ณ๐ฌ๐ด 10 ๐บ๐ฆ๐ข๐ณ๐ด ๐ข๐จ๐ฐ,โ she says. โ๐๐ฆ ๐ธ๐ข๐ฏ๐ต๐ฆ๐ฅ ๐ต๐ฐ ๐ง๐ช๐ฏ๐ฅ ๐ข ๐ธ๐ข๐บ ๐ต๐ฐ ๐ต๐ณ๐ข๐ฏ๐ด๐ฎ๐ช๐ต ๐ช๐ฏ๐ง๐ฐ๐ณ๐ฎ๐ข๐ต๐ช๐ฐ๐ฏ ๐ณ๐ฆ๐ญ๐ช๐ข๐ฃ๐ญ๐บ ๐ธ๐ช๐ต๐ฉ ๐ฆ๐ญ๐ฆ๐ฎ๐ฆ๐ฏ๐ต๐ด ๐ญ๐ช๐ฌ๐ฆ ๐ณ๐ฐ๐ถ๐ต๐ฆ๐ณ๐ด ๐ช๐ฏ ๐ญ๐ข๐ณ๐จ๐ฆ ๐ข๐ณ๐ฆ๐ข๐ด.โ This research resulted in solutions โ๐ข๐ค๐ฉ๐ช๐ฆ๐ท๐ช๐ฏ๐จ ๐ญ๐ฆ๐ท๐ฆ๐ญ๐ด ๐ฐ๐ง ๐ณ๐ฆ๐ญ๐ช๐ข๐ฃ๐ช๐ญ๐ช๐ต๐บ ๐ข๐ฏ๐ฅ ๐ฑ๐ฆ๐ณ๐ง๐ฐ๐ณ๐ฎ๐ข๐ฏ๐ค๐ฆ ๐ฑ๐ณ๐ฆ๐ท๐ช๐ฐ๐ถ๐ด๐ญ๐บ ๐ฏ๐ฐ๐ต ๐ฑ๐ฐ๐ด๐ด๐ช๐ฃ๐ญ๐ฆโ and several international patents were filed.
๐นPotential applications supported the creation of a spin-off: WSENSE launched in 2017 with a handful of PhDs and engineers with backgrounds in acoustics, network architecture, signal processing, among other areas.
Source:ย https://bit.ly/48d6Aup
#industrialย #iotย #iiotย #industry40ย #i40ย #aiย #aiotย #mlย #generativeaiย #genaiย #llmย #transformersย #wsense #italy #startups #internet #underwater #things #networking #environment #seas #oceans #oceanexploration #climatechange #underwatertechnology #underwater #wirelessnetwork #iout
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๐๐จ๐ฒ๐จ๐ญ๐ ๐๐ง๐ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐: ๐๐ญโ๐ฌ ๐๐๐ซ๐, ๐๐ง๐ ๐๐ก๐ข๐ฌ ๐ข๐ฌ ๐๐จ๐ฐ ๐๐โ๐ซ๐ ๐๐ฌ๐ข๐ง๐ ๐๐ญ ๐๐๐
Via Toyota Motor Corporation | September 6, 2023 | @VINCI_Digital
๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐ [๐๐๐ง๐๐] ๐๐ง๐ ๐๐๐ซ๐ ๐ ๐๐๐ง๐ ๐ฎ๐๐ ๐ ๐๐จ๐๐๐ฅ๐ฌ [๐๐๐]
๐นToyota Motor Corporation has been quickly gaining expertise in #generativeai , which leverages vast databases and #largelanguagemodels to learn, grow and enhance how engineers enhance their core competencies and provide quicker, more intelligent products and services.
๐นIn April 2023, Toyota Connected North America #tcna collaborated with Lexus marketing to launch aย ๐ฎ๐๐๐๐๐๐๐๐๐ ๐จ๐ฐ ๐๐๐๐๐๐๐ ๐๐๐ ๐๐๐๐๐๐๐๐๐๐ย at the New York International Auto Show, where guests had the opportunity to create a picture of the 2023 Lexus RX or RZ on their own terms.
๐นToyota Motor Corporation is bringing theย ownerโs manual back down to Earth, as well. Wonder what the icon with squiggly lines is on your dashboard? In the near future, our #generativeai products will be able to tell you in a matter of seconds while on the go, rather than sifting through 600+ pages of a paper manual at a stop, saving time and materials needed to produce the manual. Over millions of vehicles, that will make a significant impact to our #sustainability efforts while also reducing costs.
๐๐: ๐๐ก๐ ๐๐๐ญ๐ก ๐
๐จ๐ซ๐ฐ๐๐ซ๐ ๐๐ญ ๐๐จ๐ฒ๐จ๐ญ๐
๐นAI is unlocking a world of possibilities, and Toyota Motor Corporation companies are already well on their way to using its promise to unify #legacy #coding in #networks with newer #systems, lower #costs, boost #productivity , and create better products. Customers will soon see and feel the benefits in their #cars , #trucks , and #suvs .
โ๐๐ฐ๐บ๐ฐ๐ต๐ข ๐ฉ๐ข๐ด ๐ต๐ฉ๐ฆ ๐ฑ๐ฐ๐ต๐ฆ๐ฏ๐ต๐ช๐ข๐ญ ๐ต๐ฐ ๐ฃ๐ฆ ๐ข๐ต ๐ต๐ฉ๐ฆ ๐ง๐ฐ๐ณ๐ฆ๐ง๐ณ๐ฐ๐ฏ๐ต ๐ฐ๐ง ๐ต๐ฉ๐ช๐ด ๐ด๐ฆ๐ช๐ด๐ฎ๐ช๐ค ๐ต๐ฆ๐ค๐ฉ๐ฏ๐ฐ๐ญ๐ฐ๐จ๐บ ๐ด๐ฉ๐ช๐ง๐ต,โ said Brian Kursar.
โ๐๐ถ๐ณ ๐ฆ๐ข๐ณ๐ญ๐บ ๐ฆ๐น๐ฑ๐ญ๐ฐ๐ณ๐ข๐ต๐ช๐ฐ๐ฏ ๐ข๐ฏ๐ฅ ๐ด๐ถ๐ค๐ค๐ฆ๐ด๐ด๐ฆ๐ด ๐ด๐ฉ๐ฐ๐ธ ๐๐ ๐ช๐ด ๐ฉ๐ฆ๐ณ๐ฆ ๐ต๐ฐ ๐ด๐ต๐ข๐บ. ๐๐ฆ ๐ธ๐ช๐ญ๐ญ ๐ช๐ฏ๐ท๐ฆ๐ด๐ต ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐ง๐ณ๐ข๐ฎ๐ฆ๐ธ๐ฐ๐ณ๐ฌ๐ด ๐ต๐ฐ ๐ถ๐ด๐ฆ ๐๐ ๐ณ๐ฆ๐ด๐ฑ๐ฐ๐ฏ๐ด๐ช๐ฃ๐ญ๐บ ๐ด๐ฐ ๐ธ๐ฆ ๐ค๐ข๐ฏ ๐ถ๐ด๐ฆ ๐ช๐ต ๐ข๐ด ๐ข ๐ง๐ฐ๐ณ๐ค๐ฆ ๐ฎ๐ถ๐ญ๐ต๐ช๐ฑ๐ญ๐ช๐ฆ๐ณ ๐ต๐ฐ ๐ข๐ค๐ค๐ฆ๐ญ๐ฆ๐ณ๐ข๐ต๐ฆ ๐ต๐ฉ๐ฆ ๐ต๐ณ๐ข๐ฏ๐ด๐ง๐ฐ๐ณ๐ฎ๐ข๐ต๐ช๐ฐ๐ฏ ๐ฐ๐ง ๐ฐ๐ถ๐ณ ๐ฃ๐ถ๐ด๐ช๐ฏ๐ฆ๐ด๐ด ๐ช๐ฏ๐ต๐ฐ ๐ข๐ฏ ๐ฆ๐ญ๐ฆ๐ค๐ต๐ณ๐ช๐ง๐ช๐ฆ๐ฅ ๐ฎ๐ฐ๐ฃ๐ช๐ญ๐ช๐ต๐บ ๐ค๐ฐ๐ฎ๐ฑ๐ข๐ฏ๐บ.โ
Source:ย https://toyota.us/3PAH1fq
#industrialย #iotย #iiotย #industry40 #i40 #ai #aiot #ml #generativeai #genai #llm #transformers #toyota #lexus #humanaugmentation #engineering #enhancement
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Google DeepMindโ๐ฌ ๐๐จ๐๐จ๐ฎ๐ง๐๐๐ซ: ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐ ๐ข๐ฌ ๐ฃ๐ฎ๐ฌ๐ญ ๐ ๐ฉ๐ก๐๐ฌ๐. ๐๐ก๐๐ญโ๐ฌ ๐ง๐๐ฑ๐ญ ๐ข๐ฌ ๐ข๐ง๐ญ๐๐ซ๐๐๐ญ๐ข๐ฏ๐ ๐๐ [IAI]: โ๐๐ฉ๐ช๐ด ๐ช๐ด ๐ข ๐ฑ๐ณ๐ฐ๐ง๐ฐ๐ถ๐ฏ๐ฅ ๐ฎ๐ฐ๐ฎ๐ฆ๐ฏ๐ต ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐ฉ๐ช๐ด๐ต๐ฐ๐ณ๐บ ๐ฐ๐ง ๐ต๐ฆ๐ค๐ฉ๐ฏ๐ฐ๐ญ๐ฐ๐จ๐บ,โ ๐ด๐ข๐บ๐ด Mustafa Suleyman . ๐๐๐
Via MIT Technology Review / By Will Douglas Heaven | September 15, 2023 | @VINCI_Digital
Google DeepMind cofounder Mustafa Suleyman wants to build a chatbot that does a whole lot more than chat.
๐นIn a recent conversation I had with him, he told me that generative AI is just a phase. Whatโs next is interactive AI [ #iai ]: bots that can carry out tasks you set for them by calling on other software and other people to get stuff done.
๐นHe also calls forย robust regulationโand doesnโt think thatโll be hard to achieve.
๐นSuleyman is not the only one talking up a future filled with ever more autonomous software.
๐น But unlike most people he has a new billion-dollar company, Inflection AI, with a roster of top-tier talent plucked from Google DeepMind, Meta, and OpenAI, andโthanks to a deal with NVIDIAโone of the biggest stockpiles of specialized AI hardware in the world.
๐นSuleyman has put his moneyโwhich he tells me he both isn't interested in and wants to make more ofโwhere his mouth is.
Source:ย https://bit.ly/3PhzsZO
#industrialย #iotย #iiotย #aiย #aiotย #mlย #generativeaiย #genaiย #llmย #interactive #ai #interactiveai #airegulation
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AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries
Via NVIDIA | by Cliff Edwards | July 13, 2023 | @VINCI_Digital
A watershed moment on Nov. 22, 2022, was mostly virtual, yet it shook the foundations of nearly every industry on the planet.
On that day, OpenAI released ChatGPT, the most advanced artificial intelligence chatbot ever developed. This set off demand for generative AI applications that help businesses become more efficient, from providing consumers with answers to their questions to accelerating the work of researchers as they seek scientific breakthroughs, and much, much more.
Businesses that previously dabbled in AI are now rushing to adopt and deploy the latest applications. Generative AI โ the ability of algorithms to create new text, images, sounds, animations, 3D models and even computer code โ is moving at warp speed, transforming the way people work and play.
By employing large language models (LLMs) to handle queries, the technology can dramatically reduce the time people devote to manual tasks like searching for and compiling information.
The stakes are high. AI could contribute more than $15 trillion to the global economy by 2030, according to PwC. And the impact of AI adoption could be greater than the inventions of the internet, mobile broadband and the smartphone โ combined.
The engine driving generative AI is accelerated computing. It uses GPUs, DPUs and networking along with CPUs to accelerate applications across science, analytics, engineering, as well as consumer and enterprise use cases.
Early adopters across industries โ from drug discovery, financial services, retailย and telecommunications to energy, higher education and the public sector โ are combining accelerated computing with generative AI to transform business operations, service offerings and productivity.
๐นGenerative AI for Drug Discovery
๐นGenerative AI for Financial Services
๐นGenerative AI for Retail
๐นGenerative AI for Telecommunications
๐นGenerative AI for Energy
๐นGenerative AI for Higher Education and Research
๐นGenerative AI for the Public Sector
Generative AI โ A Key Ingredient for Business Successย
Across every field, organizations are transforming employee productivity, improving products and delivering higher-quality services with generative AI.
To put generative AI into practice, businesses need expansive amounts of data, deep AI expertise and sufficient compute power to deploy and maintain models quickly.
Source: https://blogs.nvidia.com/blog/2023/07/13/generative-ai-for-industries/
#industrialย #iotย #iiotย #industry40ย #i40ย #aiย #aiotย #mlย #generativeaiย #genaiย #llm #llmsย #transformersย #openai #chatgpt #nvidia #gpu #dpu #cpu #business #operations #services #productivity #efficiency #industries
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Top 100+ Generative AI Applications / Use Cases in 2023
Via AIMultiple | By Cem Dilmegani | Updated on September 15, 2023 | @VINCI_Digital
Generative AI applications produce novel and realistic visual, textual, and animated content within minutes.
๐นAs you can see above, interest in generative AI exploded since October 2022 thanks to the launch of ChatGPT.
๐นGartner predicts that by 2025, the percentage of data generated by generative AI will amount to 10% of all generated data. 1
๐นUntil 2025 AIMultiple expects generative AI to be responsible for a significant share of machine generated data and used to some degree in most of human generated data.
As one of the most important strategic technology trends of 2023, this branch of artificial intelligence (AI) has a wide variety of applications that are useful to different industries and business functions, including:
๐นHealthcare
๐นMarketing
๐นSales
๐นEducation
๐นCustomer service, etc.
In this article, we have gathered the top 100+ generative AI applications that can be used in general or for industry-specific purposes. We focused on real-world applications with examples but given how novel this technology is, some of these are potential use cases.
General Applications of Generative AI
> Visual Applications
> Audio Applications
> Text-based Applications
Example: Sentiment analysis / text classification
Sentiment analysis, which is also called opinion mining, uses natural language processing and text mining to decipher the emotional context of written materials.
> Code-based Applications
> Other Applications
Industry-specific Generative AI Applications
> Healthcare Applications
> Education Applications
> Fashion Applications
> Banking Applications
> Gaming Applications
> Travel Applications
> Retail Applications
> Insurance Applications
> Manufacturing Applications
Business-function-specific Generative AI Applications
> Customer Service Applications
> Marketing Applications
> HR Applications
> Supply Chain & Procurement Applications
> Legal Applications
> Sales Applications
> Audit Applications
๐นFor other applications of AI for requests where there is a single correct answer (e.g. prediction or classification), read our list of AI applications.
Source:ย https://research.aimultiple.com/generative-ai-applications/
#industrialย #iotย #iiotย #industry40ย #i40ย #aiย #aiotย #mlย #generativeaiย #genaiย #llmย #transformersย
Bio:๐นFabio Bottacciย is a relationship builder, creative problem solver, and strategic thinker. Senior industrial executive and former strategic consultant, he acquired a solid background in large multinational organizations across Brazil, US, and Western Europe. He is known for his ability to deliver results despite ambiguity and obstacles, to build bridges between people, and to manage conflict and negotiations.
Fabio graduated in Economics & Business Administration fromย Universitร Bocconiย and, recently, fromย Stanford University School of Engineeringย in Internet of Things [IoT]. In August 2023, Fabio has successfully completed a Private Equity & Venture Capital course by SDA Bocconi [Final Grade: 94%].
He began his career atย Accenture Italia, strategy practice, while attending MBA courses. He then moved to Brazil, where he consistently proved, during more than 20 years of professional experience, strong clients' network, industry knowledge and business development expertise in the automotive, oil and gas, energy, and utilities verticals.
Since 2015, he has been the founder & CEO ofย VINCI Digital | IIoT + GenAI Strategic Advisory, being recognized internationally as a thought leader by well-known organizations, such as theย World Economic Forum, theย IOT Solutions World Congress, and theย BNDESย (Brazilian Federal Development Bank).
Recently, Fabio has been contracted by theย European Research Executive Agency (REA)ย as an Industrial IoT and Generative AI Expert / Evaluator for the HORIZON Europe Programme of theย European Commission / European Research Executive Agency (REA), and byย Kobo Fundsย as Venture Partner, focused on Deeptech Seed/Series A startups, helping investors work successfully with entrepreneurs.
Fabio's mission is to help startups, SME, and corporations to thrive within the current digital transformation environment, by increasing productivity, developing new business models, and delivering actual results / ROI in months, not years!
