?? Industrial IoT + Generative AI ??: Actual Case Studies, Insights and Perspectives >>>??????| September 2023
??Fabio Bottacci
Senior Business Advisor / Venture Partner | Industrial IoT / Industry 4.0 + AI / ML > GenAI > Agentic AI Expert | Executive Director, Business Development | B2B Startups GTM Strategy & Execution / Funding | HBR Advisor
Olá 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, Amara’s Law—the phenomenon that we tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run—is 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 #newsletter?
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?????? ???????????????????? ???? ???????????? ?????????? Amazon One ???? ?????????????????? ???????? ????????: ???? ????????????, ???? ??????????, ???? ??????????????. ?? ???????????? ?????????????? ?????????????? ???????? ???????????? ???? ???????????????? ???? ???????????????????? ?????????? ???? ?????????????? ???????????????? ???????????? ???????? ???????????????? ?????? ????????????. ??????
Via 亚马逊 / Amazon Web Services (AWS) - By Gerard Medioni , ???????? ?????????????????? ?????? ?????????????????????????? ??????????????????, ?????? ???????????????????????? | September 1, 2023 | @VINCI_Digital
??Generative artificial intelligence (generative AI) has recently captured the world’s imagination with feats like summarizing text, writing marketing materials, and composing code.
??Today 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
??Amazon One is a fast, convenient, and contactless experience that enables customers to leave their wallets (and even their phones) at home.
??They 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.
??Currently,?Amazon One is being rolled out to more than 500 Whole Foods Market stores?and dozens of third-party locations, including travel retailers, sports and entertainment venues, convenience stores, and grocers.
??At each location, you will see a small device?Amazon One—a type of scanner that uses infrared light—to recognize the unique lines, grooves, and ridges on your palm, and the pulsating network of veins just under the skin.
??The 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:?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.
??This advancement significantly improves robot utility and is a step towards building “Large Behavior Models (LBMs)” for robots, analogous to the Large Language Models (LLMs) that have recently revolutionized conversational AI.
“Our research in robotics is aimed at amplifying people rather than replacing them,” said Gill Pratt, CEO of TRI and Chief Scientist for Toyota Motor Corporation. “This new teaching technique is both very efficient and produces very high performing behaviors, enabling robots to much more effectively amplify people in many ways.”
??Previous 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.
??Roboticists needed to spend many hours writing sophisticated code and/or using numerous trial and error cycles to program behaviors.
??TRI has already taught robots more than 60 difficult, dexterous skills using the new approach, including pouring liquids, using tools, and manipulating deformable objects.
??These achievements were realized without writing a single line of new code; the only change was supplying the robot with new data.
??Building 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.
??Today’s 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 “‘pick and place” or simply picking up objects and putting them down in new locations.
??TRI’s robots can now interact with the world in varied and rich ways — which will one day allow robots to support people in everyday situations and unpredictable, ever-changing environments.
“The tasks that I’m watching these robots perform are simply amazing – even one year ago, I would not have predicted that we were close to this level of diverse dexterity,” 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 美国麻省理工学院 , explained,
“What 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 — all of which have traditionally been extremely difficult for robots.”
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
#industrial?#iot?#iiot?#ai?#aiot?#ml?#generativeai?#genai?#foundationmodels #largelanguagemodels #llm #llms #transformers #largebehaviormodels #lbms #teaching #robots #behaviors #tri #mit
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???????????????????? ????’?? ?????? ??????: ?????? ???????? ??????, ???? ?????????????????? ?? ???????????????????? ???????? ???????????????????? ???? ?????????? ???????????? ?? ???????????????? ???????????????? ?????????? ???? ????????????????????. ???????? ???????? ?????? ??????????????????. ??????
Via Sequoia Capital / By Sonya Huang & Pat Grady | September 20, 2023 | @VINCI_Digital
?????????????? ?????? ??????
??Generative AI’s first year out the gate—“?????? 1”—came from the?technology-out. We discovered a new “????????????”—foundation models—and unleashed a wave of novelty apps that were lightweight demonstrations of cool new technology.
"We now believe the market is entering “?????? 2”—which will be from the?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
??The market is already beginning to transition from “?????? 1” to “?????? 2.” Examples of companies entering “?????? 2” 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.AI?and Ava, which are creating digital companions.
?????? ??????: ?? ???????????? ????????????????
??Founders are embarking on the hard work of prompt engineering, fine tuning and dataset curation to make their AI products ????????. 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.
??A 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 AI’s second act.
Source: https://lnkd.in/dGA7Rfe5?
#industrial?#iot?#iiot?#ai?#aiot?#ml?#generativeai?#genai?#foundationmodels #largelanguagemodels #llm #llms #transformers
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???????? [Italian] ?????????????? ???? ???????????????? ?????? ???????????????? ???? ???????????????????? ???????????? >>> WSENSE ’?? ???????????????????? ???????????????????? ?????????????? ?????? ???????????????????????? ?????? ???? ?????????????? ?????????? ???????????????????????? ??????
Via IEEE Spectrum ?| September 6, 2023 | @VINCI_Digital
??Science thrives on data. As such, the emergence of the Internet of Things (IoT) brought about a fantastic revolution. Billions of “intelligent objects” packed with sensors are connected to each other and to servers, capturing and exchanging, in real time, huge amounts of data.
??Analyzed, 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.
??This blind spot is rather striking. Water covers 72 percent of the Earth’s surface, its volumes host 80 percent of biodiversity and play a pivotal role in global phenomena, such as?climate change. It is impossible to claim a global vision without integrating the oceans.
???????????????????? ???????????????????? ?????????????? ????????????????????
??There 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).
??The 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.
??The adventure of the startup began at the?Sapienza Università di Roma, where?Professor Chiara Petrioli?is in charge of a research laboratory.
“???? ?????????????? ?????????????? ???????? ???????????????????? ???????????????? 10 ?????????? ??????,” she says. “???? ???????????? ???? ???????? ?? ?????? ???? ???????????????? ?????????????????????? ???????????????? ???????? ???????????????? ???????? ?????????????? ???? ?????????? ??????????.” This research resulted in solutions “?????????????????? ???????????? ???? ?????????????????????? ?????? ?????????????????????? ???????????????????? ?????? ????????????????” and several international patents were filed.
??Potential 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:?https://bit.ly/48d6Aup
#industrial?#iot?#iiot?#industry40?#i40?#ai?#aiot?#ml?#generativeai?#genai?#llm?#transformers?#wsense #italy #startups #internet #underwater #things #networking #environment #seas #oceans #oceanexploration #climatechange #underwatertechnology #underwater #wirelessnetwork #iout
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???????????? ?????? ???????????????????? ????: ????’?? ????????, ?????? ???????? ???? ?????? ????’???? ?????????? ???? ??????
Via Toyota Motor Corporation | September 6, 2023 | @VINCI_Digital
???????????????????? ???? [??????????] ?????? ?????????? ???????????????? ???????????? [??????]
??Toyota 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.
??In April 2023, Toyota Connected North America #tcna collaborated with Lexus marketing to launch a????????????????????? ???? ?????????????? ?????? ?????????????????????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.
??Toyota Motor Corporation is bringing the?owner’s 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.
????: ?????? ???????? ?????????????? ???? ????????????
??AI 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 .
“???????????? ?????? ?????? ?????????????????? ???? ???? ???? ?????? ?????????????????? ???? ???????? ?????????????? ???????????????????? ??????????,” said Brian Kursar.
“?????? ?????????? ?????????????????????? ?????? ?????????????????? ???????? ???? ???? ???????? ???? ????????. ???? ???????? ???????????? ???? ?????? ???????????????????? ???? ?????? ???? ?????????????????????? ???? ???? ?????? ?????? ???? ???? ?? ?????????? ???????????????????? ???? ???????????????????? ?????? ???????????????????????????? ???? ?????? ???????????????? ???????? ???? ?????????????????????? ???????????????? ??????????????.”
Source:?https://toyota.us/3PAH1fq
#industrial?#iot?#iiot?#industry40 #i40 #ai #aiot #ml #generativeai #genai #llm #transformers #toyota #lexus #humanaugmentation #engineering #enhancement
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Google DeepMind ’?? ??????????????????: ???????????????????? ???? ???? ???????? ?? ??????????. ????????’?? ???????? ???? ?????????????????????? ???? [IAI]: “???????? ???? ?? ???????????????? ???????????? ???? ?????? ?????????????? ???? ????????????????????,” ???????? Mustafa Suleyman . ??????
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.
??In a recent conversation I had with him, he told me that generative AI is just a phase. What’s 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.
??He also calls for?robust regulation—and doesn’t think that’ll be hard to achieve.
??Suleyman is not the only one talking up a future filled with ever more autonomous software.
?? 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, and—thanks to a deal with NVIDIA—one of the biggest stockpiles of specialized AI hardware in the world.
??Suleyman has put his money—which he tells me he both isn't interested in and wants to make more of—where his mouth is.
Source:?https://bit.ly/3PhzsZO
#industrial?#iot?#iiot?#ai?#aiot?#ml?#generativeai?#genai?#llm?#interactive #ai #interactiveai #airegulation
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AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries
Via 英伟达 | 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 — the ability of algorithms to create new text, images, sounds, animations, 3D models and even computer code — 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 — 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 — from drug discovery, financial services, retail?and telecommunications to energy, higher education and the public sector — are combining accelerated computing with generative AI to transform business operations, service offerings and productivity.
??Generative AI for Drug Discovery
??Generative AI for Financial Services
??Generative AI for Retail
??Generative AI for Telecommunications
??Generative AI for Energy
??Generative AI for Higher Education and Research
??Generative AI for the Public Sector
Generative AI – A Key Ingredient for Business Success?
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.
#industrial?#iot?#iiot?#industry40?#i40?#ai?#aiot?#ml?#generativeai?#genai?#llm #llms?#transformers?#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.
??As you can see above, interest in generative AI exploded since October 2022 thanks to the launch of ChatGPT.
?? Gartner predicts that by 2025, the percentage of data generated by generative AI will amount to 10% of all generated data. 1
??Until 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:
??Healthcare
??Marketing
??Sales
??Education
??Customer 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
??For other applications of AI for requests where there is a single correct answer (e.g. prediction or classification), read our list of AI applications.
#industrial?#iot?#iiot?#industry40?#i40?#ai?#aiot?#ml?#generativeai?#genai?#llm?#transformers?
Bio:??Fabio Bottacci?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 from?Università Bocconi?and, recently, from?Stanford University School of Engineering?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 at?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 of? VINCI Digital | IIoT + AI / GenAI Strategic Advisory ?? , being recognized internationally as a thought leader by well-known organizations, such as the?World Economic Forum, the?IOT Solutions World Congress, and the?BNDES?(Brazilian Federal Development Bank).
Recently, Fabio has been contracted by the?European Research Executive Agency (REA)?as an Industrial IoT and Generative AI Expert / Evaluator for the HORIZON Europe Programme of the?European Commission / European Research Executive Agency (REA) , and by?Kobo Funds?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!