🏭 Industrial IoT + AI / Generative AI 🤖: Actual Case Studies, Insights and Perspectives >>> 🚀🚀🚀 | July - August 2024
🔹Fabio Bottacci
Senior Business Advisor / Venture Partner | Industrial IoT / Industry 4.0 + AI / ML > GenAI > Agentic AI > Physical AI Expert | Executive Director, Business Development | B2B Startups GTM Strategy & Execution / Funding
Hey everyone,
Already back to school 🚌🎒🏫📚, or still taking the most of the last days of your summer holidays 🏖🩴🌴😎??? Hopefully, the latter!!!
In any case, as usual, I hope you'll enjoy this newsletter...😉
Ciao, Fabio
#industrial #iot #iiot #ai #genai #generativeai #casestudies #insights #perspectives
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NVIDIA launches NIM Agent Blueprints, allowing developers to quickly build enterprise AI apps 🚀🚀🚀 | Via VentureBeat | August 27, 2024 | @VINCI_Digital
Today [8/27], NVIDIA announced the launch of NIM Agent Blueprints, a catalog of AI workflows and software resources designed to accelerate the development and deployment of generative AI-powered agents and applications
🔹Available as a free-to-download offering, the blueprints touch canonical use cases such as
>>> customer service avatars
>>> drug discovery
>>> data extraction from documents
🔹Developers can work with these using their datasets to quickly get started and deploy agents tailored to their respective business functions. Nvidia also plans to add resources for more applications soon.
The move from the Jensen Huang -led company comes as enterprises across sectors continue to remain bullish on the prospects of generative AI and how it can boost productivity, saving time and money.
🔹 NVIDIA is even working with several technology solutions providers and global system integrators to ensure seamless access and deployment of the blueprints.
What do NIM Agent Blueprints bring to the table?
🔹While enterprises have been tapping generative AI for tasks like content generation and summarization for quite some time, many teams are looking to go beyond standard use cases with applications using one or more AI agents, backed by their proprietary data.
🔹The customized agents are being hailed as the second wave of gen AI (with immense growth potential), but building and deploying them continues to be a complex, multi-step process.
Most organizations continue to struggle with this issue, leading to delays and cash burn.
🔹With the new NIM Agent Blueprints, NVIDIA is giving teams everything they need to accelerate these workflows, right from sample applications built with Nvidia NIM, NeMo and partner microservices, reference code, customization documentation and a Helm chart (which combines YAML files and templates to define the necessary configurations) for deployment.
🔹Using the pre-trained AI workflows in the blueprints, developers can easily jumpstart the complex development process and deploy their agentic applications across accelerated data centers and clouds. They can modify the blueprints using proprietary data, allowing developers to tap both information retrieval and agent-based workflows capable of performing complex tasks.
🔹On top of this, as users interact with these applications, the blueprints can also be enhanced, creating a continuous learning cycle leading to better performance over time.
Source: https://bit.ly/3Xt1KWI
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#iot #ai #genai #agents #pretrained #workflows
Industrial IoT [IIoT]: Driving Efficiency and Innovation in Manufacturing | Via Silicon Valley Innovation Center | August 27, 2024 | @VINCI_Digital
The New Industrial Revolution
🔹As industries continue to evolve in an increasingly data-driven world, the ability to anticipate and respond to operational challenges is becoming a critical differentiator for businesses.
🔹While 30% of manufacturers currently use data to predict operational performance, an additional 60% aim to make predictivity a primary focus by 2030.
The Industrial Internet of Things (IIoT) makes this ambitious leap toward predictive capabilities possible. IIoT refers to using connected devices and systems in industrial settings, such as manufacturing, energy, and transportation, to monitor, automate, and optimize processes for improved efficiency, safety, and productivity.
The Power of Data: How IIoT Turns Machines into Storytellers
Machines Sharing Real-Time Insights
Predictive Maintenance: Preventing Costly Breakdowns
🔹Predictive maintenance, driven by IIoT, is a transformative strategy that empowers industries to prevent costly breakdowns by enabling machines to self-report issues in real-time.
🔹With manufacturers facing an average of 800 hours of equipment downtime annually, costing industries like automotive up to $22,000 per minute, the financial impact substantially totaling as much as $50 billion annually for industrial manufacturers.
Rolls-Royce exemplifies this approach by developing low-cost IoT trackers that monitor engine utilization and location. By analyzing this data, maintenance can be scheduled proactively, reducing unplanned downtime and enhancing operational efficiency.
Beyond Efficiency: Delivering Personalized Products at Scale
Flexible Manufacturing for Customization
Siemens uses IIoT in its ‘Smart Factory’ to produce custom-made products like personalized medical devices. By connecting machines and systems, Siemens can easily switch between different product designs, ensuring each item meets specific customer requirements without losing efficiency.
Mass Customization: A Game Changer
For example, Adidas launched the Speed Factory to create customized shoes tailored to individual consumer preferences. Utilizing advanced IIoT technologies, these factories are equipped with robotics and intelligent machines that rapidly adjust production processes to develop personalized footwear.
The Invisible Workforce: Automated Systems Running the Show
Factory-Wide Optimization & The Power of Digital Workforce
Learning Machines: How IIoT Enables Factories to Improve Continuously
Overlooked Challenges: The Complexities of Balancing Innovation and Security
Upgrading Legacy Systems
Balancing Innovation and Security
Schneider Electric, a global leader in energy management, successfully balanced innovation and security in its intelligent factories. They implemented IIoT while investing in cybersecurity measures, such as regular security assessments and updates to their legacy systems.
The Role of Human Oversight in IIoT: Complementing, Not Replacing
Future Vision: A Glimpse into Fully Connected Smart Factories
BMW’s iFACTORY exemplifies the future of intelligent manufacturing by integrating AI, IIoT, 5G, and virtual reality. In this highly automated environment, cars on the production line act as intelligent agents, communicating build status, detecting errors, and enhancing quality control through AI-driven visual and acoustic checks.
Autonomous logistics robots and connected systems streamline the supply chain, while the Omniverse platform, developed with NVIDIA , allows global teams to design and optimize production processes virtually in real-time. This advanced technological synergy positions BMW Group at the forefront of Industry 4.0 innovation.
The Broader Impact: Why IIoT Matters Beyond Manufacturing
Extending Benefits to Supply Chain Management
Broader Economic Trends and Global Trade Dynamics
Source: https://bit.ly/4e5Rr01
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#iot #iiot #ai #genai #manufacturing
𝟕𝟒% 𝐎𝐟 𝐄𝐚𝐫𝐥𝐲 𝐀𝐈 𝐀𝐝𝐨𝐩𝐭𝐞𝐫𝐬 𝐀𝐥𝐫𝐞𝐚𝐝𝐲 𝐇𝐚𝐯𝐞 𝐑𝐎𝐈: 𝘔𝘰𝘳𝘦 𝘵𝘩𝘢𝘯 𝘴𝘪𝘹 𝘪𝘯 10 𝘭𝘢𝘳𝘨𝘦 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘸𝘰𝘳𝘭𝘥𝘸𝘪𝘥𝘦 𝘢𝘳𝘦 𝘶𝘴𝘪𝘯𝘨 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐, 𝘢𝘯𝘥 74% 𝒐𝒇 𝒕𝒉𝒐𝒔𝒆 𝒂𝒓𝒆 𝒂𝒍𝒓𝒆𝒂𝒅𝒚 𝒔𝒆𝒆𝒊𝒏𝒈 𝒔𝒊𝒛𝒂𝒃𝒍𝒆 𝒓𝒆𝒕𝒖𝒓𝒏𝒔 𝒐𝒏 𝒊𝒏𝒗𝒆𝒔𝒕𝒎𝒆𝒏𝒕, 𝘢𝘤𝘤𝘰𝘳𝘥𝘪𝘯𝘨 𝘵𝘰 𝘯𝘦𝘸 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘧𝘳𝘰𝘮 Google Cloud 𝘧𝘪𝘳𝘴𝘵 𝘴𝘩𝘢𝘳𝘦𝘥 𝘸𝘪𝘵𝘩 Forbes 🚀🚀🚀 | Via Forbes 𝐂𝐈𝐎 / By Megan Poinski | August 8, 2024 | @VINCI_Digital
The report, based on a survey of more than 2,500 C-suite leaders of companies with more than $10 million in revenue, 𝐬𝐡𝐨𝐰𝐞𝐝 𝐢𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐯𝐞 𝐠𝐚𝐢𝐧𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲:
🔹A total of 86% that implemented generative AI saw their revenue increase by more than 6%. More than three quarters (77%) saw their leads and customer acquisition improve.
🔹Nearly half (45%) saw employee productivity at least double. More than half (56%) reported improved cybersecurity, with 82% better able to identify threats, and 71% able to resolve issues faster.
🔹And 85% said user engagement has increased with generative AI.
“𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒗𝒆 𝑨𝑰 𝒊𝒔 𝒏𝒐𝒕 𝒋𝒖𝒔𝒕 𝒂 𝒕𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒄𝒂𝒍 𝒊𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒐𝒏; 𝒊𝒕’𝒔 𝒂 𝒔𝒕𝒓𝒂𝒕𝒆𝒈𝒊𝒄 𝒅𝒊𝒇𝒇𝒆𝒓𝒆𝒏𝒕𝒊𝒂𝒕𝒐𝒓,” Oliver Parker , vice president of global generative AI go-to-market, Google Cloud , said in the study. “𝑶𝒓𝒈𝒂𝒏𝒊𝒛𝒂𝒕𝒊𝒐𝒏𝒔 𝒊𝒏𝒗𝒆𝒔𝒕𝒊𝒏𝒈 𝒊𝒏 𝒈𝒆𝒏 𝑨𝑰 𝒕𝒐𝒅𝒂𝒚 𝒂𝒓𝒆 𝒕𝒉𝒆 𝒐𝒏𝒆𝒔 𝒕𝒉𝒂𝒕 𝒘𝒊𝒍𝒍 𝒃𝒆 𝒃𝒆𝒔𝒕 𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏𝒆𝒅 𝒕𝒐 𝒔𝒖𝒄𝒄𝒆𝒆𝒅 𝒊𝒏 𝒕𝒉𝒆 𝒄𝒐𝒎𝒊𝒏𝒈 𝒅𝒆𝒄𝒂𝒅𝒆.”
🔹𝐉𝐮𝐬𝐭 𝐮𝐧𝐝𝐞𝐫 𝐡𝐚𝐥𝐟 𝐨𝐟 𝐫𝐞𝐬𝐩𝐨𝐧𝐝𝐞𝐧𝐭𝐬 𝐬𝐚𝐢𝐝 𝐭𝐡𝐞𝐢𝐫 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐠𝐚𝐢𝐧𝐬 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐫𝐞𝐢𝐧𝐯𝐞𝐬𝐭𝐞𝐝 𝐢𝐧𝐭𝐨 𝐀𝐈, creating better solutions for more aspects of their companies:
>>> A total of 47% are investing in business and technology alignment to support change management for AI adoption
>>> Almost the same amount said they plan to invest in upskilling their workforce and attracting new talent better versed in AI
>>> And 43% are investing in data quality and knowledge management to ensure future generative AI systems have accurate and reliable data to work on.
🔹𝐌𝐨𝐬𝐭 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬, 𝐆𝐨𝐨𝐠𝐥𝐞 𝐟𝐨𝐮𝐧𝐝, 𝐰𝐞𝐫𝐞 𝐚𝐛𝐥𝐞 𝐭𝐨 𝐠𝐞𝐭 𝐦𝐨𝐯𝐢𝐧𝐠 𝐨𝐧 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐪𝐮𝐢𝐜𝐤𝐥𝐲:
>>> A total of 84% said they moved from pilot to production in six months or less
>>> And most of the 39% of organizations that don’t have AI systems up and running are working on it
>> Only 5% haven’t yet started.
🔹This study provides 𝐭𝐚𝐧𝐠𝐢𝐛𝐥𝐞 𝐞𝐯𝐢𝐝𝐞𝐧𝐜𝐞 𝐨𝐟 𝐡𝐨𝐰 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐀𝐈—𝐛𝐨𝐭𝐡 𝐢𝐧 𝐭𝐞𝐫𝐦𝐬 𝐨𝐟 𝐭𝐢𝐦𝐞 𝐚𝐧𝐝 𝐦𝐨𝐧𝐞𝐲—𝐜𝐚𝐧 𝐫𝐞𝐚𝐥𝐥𝐲 𝐩𝐚𝐲 𝐨𝐟𝐟.
Sources: https://bit.ly/3WDE5Rx / https://bit.ly/4dIR7on
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#iot #ai #genai #roi #aiearlyadopters
𝐀 𝐂𝐥𝐚𝐦𝐨𝐫 𝐟𝐨𝐫 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 (𝐄𝐯𝐞𝐧 𝐈𝐟 𝐒𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐄𝐥𝐬𝐞 𝐖𝐨𝐫𝐤𝐬 𝐁𝐞𝐭𝐭𝐞𝐫): 𝘊𝘐𝘖𝘴 𝘴𝘢𝘺 𝘵𝘩𝘦𝘺 𝘧𝘦𝘦𝘭 𝘱𝘳𝘦𝘴𝘴𝘶𝘳𝘦 𝘵𝘰 𝘴𝘩𝘰𝘦𝘩𝘰𝘳𝘯 𝘵𝘩𝘦 𝘵𝘦𝘤𝘩 𝘪𝘯𝘵𝘰 𝘢𝘳𝘦𝘢𝘴 𝘣𝘦𝘵𝘵𝘦𝘳 𝘴𝘦𝘳𝘷𝘦𝘥 𝘣𝘺 𝘰𝘵𝘩𝘦𝘳 𝘧𝘰𝘳𝘮𝘴 𝘰𝘧 𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘷𝘦 𝘈𝘐—𝘰𝘳 𝘱𝘦𝘳𝘩𝘢𝘱𝘴 𝘫𝘶𝘴𝘵 𝘢 𝘴𝘱𝘳𝘦𝘢𝘥𝘴𝘩𝘦𝘦𝘵 🚀🚀🚀 | Via The Wall Street Journal / By Isabelle Bousquette | July 22, 2024 | @VINCI_Digital
𝐂𝐡𝐢𝐞𝐟 𝐢𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐨𝐟𝐟𝐢𝐜𝐞𝐫𝐬 𝐤𝐧𝐨𝐰 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐢𝐬𝐧’𝐭 𝐭𝐡𝐞 𝐫𝐢𝐠𝐡𝐭 𝐭𝐨𝐨𝐥 𝐟𝐨𝐫 𝐞𝐯𝐞𝐫𝐲 𝐭𝐞𝐜𝐡 𝐩𝐫𝐨𝐛𝐥𝐞𝐦. But lately some are having to throw a wet blanket on the enthusiasm of chief executives and boards intoxicated by the technology’s promise
🔹Since the debut of OpenAI’s ChatGPT in November 2022, generative AI—a form of AI that uses prompts to generate text and other content—has captivated corporate boardrooms and Wall Street, catapulting AI chip maker NVIDIA to a trillion-dollar valuation.
🔹Companies that mention generative AI in their earnings reports have seen bumps in their stock prices, fueling a race among firms to position themselves as front-runners in adopting the technology.
🔹But as a result, 𝐬𝐨𝐦𝐞 𝐂𝐈𝐎𝐬 𝐬𝐚𝐲 𝐭𝐡𝐞𝐲 𝐚𝐫𝐞 𝐚𝐰𝐚𝐫𝐞 𝐨𝐟 𝐩𝐫𝐞𝐬𝐬𝐮𝐫𝐞 𝐭𝐨 𝐬𝐡𝐨𝐞𝐡𝐨𝐫𝐧 𝐭𝐡𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐢𝐧𝐭𝐨 𝐚𝐫𝐞𝐚𝐬 𝐛𝐞𝐬𝐭 𝐚𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐝 𝐛𝐲 𝐞𝐢𝐭𝐡𝐞𝐫 𝐨𝐥𝐝𝐞𝐫 𝐟𝐨𝐫𝐦𝐬 𝐨𝐟 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐈, or even something as simple as a spreadsheet.
“𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒗𝒆 𝑨𝑰 𝒊𝒔 𝒏𝒐𝒕 𝒂 𝒔𝒊𝒍𝒗𝒆𝒓 𝒃𝒖𝒍𝒍𝒆𝒕 𝒇𝒐𝒓 𝒆𝒗𝒆𝒓𝒚 𝒔𝒊𝒏𝒈𝒍𝒆 𝒖𝒔𝒆 𝒄𝒂𝒔𝒆,” Sridhar Sharma, CIO of nonbank mortgage servicer and originator Mr. Cooper, said.
“𝑰𝒏 𝒇𝒂𝒄𝒕, 𝒊𝒏 𝒔𝒐𝒎𝒆 𝒄𝒂𝒔𝒆𝒔 𝒊𝒕’𝒔 𝒏𝒐𝒕 𝒂𝒔 𝒆𝒇𝒇𝒆𝒄𝒕𝒊𝒗𝒆, 𝒂𝒏𝒅 𝒔𝒐𝒎𝒆𝒕𝒊𝒎𝒆𝒔 𝒊𝒕’𝒔 𝒅𝒂𝒏𝒈𝒆𝒓𝒐𝒖𝒔.” Engineering generative AI solutions can be more complex, more expensive and more prone to hallucinations than other forms of AI, he added.
Source: https://lnkd.in/dXWigK8V
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#iot #ai #genai #predictiveai #cio #wallstreet
𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐰𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞: 𝐇𝐨𝐰 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 𝐰𝐢𝐥𝐥 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: 𝘞𝘦 𝘥𝘪𝘷𝘦 𝘪𝘯𝘵𝘰 𝘸𝘩𝘢𝘵 𝘢𝘨𝘦𝘯𝘵𝘴 𝘢𝘳𝘦, 𝘵𝘩𝘦𝘪𝘳 𝘭𝘪𝘮𝘪𝘵𝘢𝘵𝘪𝘰𝘯𝘴, 𝘬𝘦𝘺 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴, 𝘢𝘯𝘥 𝘪𝘮𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 𝘧𝘰𝘳 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘸𝘰𝘳𝘬 🚀🚀🚀 | Via CB Insights | July 31, 2024 | @VINCI_Digital
An 𝐞𝐦𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐰𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞 would reshape industries as we know them. The implications would be enormous, changing how companies hire and scale, as well as what they can achieve with a small headcount
🔹The idea of 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬 — 𝘓𝘓𝘔-𝘱𝘰𝘸𝘦𝘳𝘦𝘥 𝘣𝘰𝘵𝘴 𝘵𝘩𝘢𝘵 𝘤𝘢𝘯 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘵𝘭𝘺 𝘳𝘦𝘢𝘴𝘰𝘯 𝘢𝘯𝘥 𝘦𝘹𝘦𝘤𝘶𝘵𝘦 𝘵𝘢𝘴𝘬𝘴 — caught on like wildfire in 2023, marking an important evolution beyond chatbots and copilots.
OpenAI 𝑪𝑬𝑶 𝑺𝒂𝒎 𝑨𝒍𝒕𝒎𝒂𝒏 𝒉𝒂𝒔 𝒅𝒆𝒔𝒄𝒓𝒊𝒃𝒆𝒅 𝒂𝒈𝒆𝒏𝒕𝒔 𝒂𝒔 “𝑨𝑰’𝒔 𝒌𝒊𝒍𝒍𝒆𝒓 𝒇𝒖𝒏𝒄𝒕𝒊𝒐𝒏” 𝒂𝒔 𝒓𝒆𝒄𝒆𝒏𝒕𝒍𝒚 𝒂𝒔 𝑴𝒂𝒚 2024.
🔹While much of the tech remains limited in its ability to execute tasks reliably, use cases are gaining traction in 𝐡𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 like customer support, sales, and engineering.
🔹𝐓𝐡𝐞 𝐬𝐭𝐚𝐭𝐞 𝐨𝐟 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬: Investment is surging to companies in the space, but limitations — most notably, agent reliability — remain.
🔹𝐋𝐞𝐚𝐝𝐢𝐧𝐠 𝐡𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐢𝐦𝐩𝐚𝐜𝐭𝐬: The landscape of 𝘝𝘊-𝘣𝘢𝘤𝘬𝘦𝘥 𝘢𝘨𝘦𝘯𝘵 𝘴𝘵𝘢𝘳𝘵𝘶𝘱 is dominated by a focus on horizontal applications — across sales, customer support, and other enterprise and general productivity workflows.
🔹𝐄𝐦𝐞𝐫𝐠𝐢𝐧𝐠 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬: While few agentic companies focus on single industries, companies are emerging to target workflows across 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬, 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥𝐬, and more.
Source: https://bit.ly/4d7EEu4
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#iot #ai #genai #autonomous #aiagents #workforce
𝐈𝐨𝐓 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐋𝐚𝐧𝐝𝐬𝐜𝐚𝐩𝐞 𝟐𝟎𝟐𝟒: 𝟕 𝐧𝐨𝐭𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 - 𝘛𝘩𝘦𝘳𝘦 𝘢𝘳𝘦 𝘰𝘷𝘦𝘳 3,300 𝘢𝘤𝘵𝘪𝘷𝘦 𝘐𝘰𝘛 𝘴𝘵𝘢𝘳𝘵𝘶𝘱𝘴, 𝘢𝘤𝘤𝘰𝘳𝘥𝘪𝘯𝘨 𝘵𝘰 𝘵𝘩𝘦 𝘭𝘢𝘵𝘦𝘴𝘵 83-𝘱𝘢𝘨𝘦 𝘐𝘰𝘛 𝘚𝘵𝘢𝘳𝘵𝘶𝘱 𝘓𝘢𝘯𝘥𝘴𝘤𝘢𝘱𝘦 2024 𝘙𝘦𝘱𝘰𝘳𝘵 𝘢𝘯𝘥 𝘋𝘢𝘵𝘢𝘣𝘢𝘴𝘦—𝘢 𝘴𝘵𝘦𝘦𝘱 𝘳𝘪𝘴𝘦 𝘰𝘷𝘦𝘳 𝘵𝘩𝘦 1,205 𝘪𝘥𝘦𝘯𝘵𝘪𝘧𝘪𝘦𝘥 𝘪𝘯 2021 🚀🚀🚀 | Via IoT Analytics / By Zeynep Kaman | July 31, 2024 | @VINCI_Digital
7 𝒏𝒐𝒕𝒂𝒃𝒍𝒆 𝒊𝒏𝒔𝒊𝒈𝒉𝒕𝒔 𝒔𝒕𝒂𝒏𝒅𝒐𝒖𝒕 𝒂𝒃𝒐𝒖𝒕 𝒕𝒉𝒆 𝑰𝒐𝑻 𝒔𝒕𝒂𝒓𝒕𝒖𝒑 𝒍𝒂𝒏𝒅𝒔𝒄𝒂𝒑𝒆 20241) 𝐓𝐡𝐞 𝐬𝐡𝐚𝐫𝐞 𝐨𝐟 𝐈𝐨𝐓 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐢𝐧 𝐀𝐏𝐀𝐂 𝐢𝐬 𝐢𝐧𝐜𝐫𝐞𝐚𝐬𝐢𝐧𝐠
🔹North America has the most IoT startups, but Asia is gaining) 𝐔𝐒-𝐛𝐚𝐬𝐞𝐝 𝐈𝐨𝐓 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐭𝐨𝐩 𝐭𝐨𝐭𝐚𝐥 𝐟𝐮𝐧𝐝𝐢𝐧𝐠 𝐬𝐡𝐚𝐫𝐞, 𝐛𝐮𝐭 𝐚 𝐂𝐡𝐢𝐧𝐞𝐬𝐞 𝐈𝐨𝐓 𝐬𝐭𝐚𝐫𝐭𝐮𝐩 𝐥𝐞𝐚𝐝𝐬 𝐨𝐯𝐞𝐫𝐚𝐥𝐥
🔹The top 20 IoT startups collectively received 31% of all investments) 𝐒𝐞𝐯𝐞𝐫𝐚𝐥 𝐥𝐚𝐫𝐠𝐞 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐫𝐨𝐮𝐧𝐝𝐬 𝐟𝐨𝐫 𝐈𝐨𝐓 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬
🔹Large funding amounts for IoT semiconductor and robotics startups) 𝐓𝐞𝐜𝐡𝐬𝐭𝐚𝐫𝐬 𝐫𝐞𝐦𝐚𝐢𝐧𝐬 𝐭𝐡𝐞 𝐭𝐨𝐩 𝐈𝐨𝐓 𝐬𝐭𝐚𝐫𝐭𝐮𝐩 𝐢𝐧𝐯𝐞𝐬𝐭𝐨𝐫
🔹Techstars continues to lead in IoT startup investments by a long shot) 𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐫𝐞𝐜𝐞𝐢𝐯𝐞𝐬 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐚𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐈𝐨𝐓 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬, 𝐛𝐮𝐭 𝐬𝐦𝐚𝐫𝐭 𝐜𝐢𝐭𝐲- 𝐚𝐧𝐝 𝐞𝐧𝐞𝐫𝐠𝐲/𝐮𝐭𝐢𝐥𝐢𝐭𝐲-𝐟𝐨𝐜𝐮𝐬𝐞𝐝 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐠𝐚𝐢𝐧 𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧
🔹 Over a quarter of startups focus on the manufacturing industry, but focus on cities and utilities is rising6) 𝐀𝐈 𝐭𝐚𝐤𝐢𝐧𝐠 𝐚 𝐟𝐨𝐨𝐭𝐡𝐨𝐥𝐝
🔹Over 5% of IoT startups worldwide are focused on AI-based solutions) 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐢𝐬 𝐭𝐡𝐞 𝐦𝐨𝐬𝐭 𝐜𝐨𝐦𝐦𝐨𝐧 𝐨𝐟𝐟𝐞𝐫𝐢𝐧𝐠
🔹3 in 5 IoT startups offer analytics
Source: https://bit.ly/46L5whb
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#iot #startups #landscape2024 #ai #genai #analytics
𝐀𝐈-𝐝𝐢𝐫𝐞𝐜𝐭𝐞𝐝, 𝐃𝐫𝐢𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐃𝐫𝐢𝐟𝐭: 𝐒𝐭𝐚𝐧𝐟𝐨𝐫𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 Toyota Research Institute 𝐚𝐜𝐡𝐢𝐞𝐯𝐞 𝐚𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐦𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞 - 𝘐𝘧 𝘴𝘦𝘭𝘧-𝘥𝘳𝘪𝘷𝘪𝘯𝘨 𝘷𝘦𝘩𝘪𝘤𝘭𝘦𝘴 𝘤𝘢𝘯 𝘯𝘢𝘷𝘪𝘨𝘢𝘵𝘦 𝘵𝘩𝘪𝘴 𝘤𝘰𝘮𝘱𝘭𝘦𝘹 𝘳𝘰𝘢𝘥 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦 𝘴𝘢𝘧𝘦𝘭𝘺, 𝘵𝘩𝘦 𝘭𝘦𝘢𝘳𝘯𝘪𝘯𝘨𝘴 𝘤𝘰𝘶𝘭𝘥 𝘩𝘦𝘭𝘱 𝘢𝘥𝘷𝘢𝘯𝘤𝘦 𝘵𝘩𝘦 𝘴𝘢𝘧𝘦𝘵𝘺 𝘰𝘧 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘦𝘥 𝘥𝘳𝘪𝘷𝘪𝘯𝘨 𝘪𝘯 𝘶𝘳𝘣𝘢𝘯 𝘴𝘤𝘦𝘯𝘢𝘳𝘪𝘰𝘴 🚀🚀🚀 | Via Stanford University School of Engineering | July 23, 2024 | @VINCI_Digital
𝐓𝐚𝐧𝐝𝐞𝐦 𝐃𝐫𝐢𝐟𝐭 is something of a cross between grand prix auto racing and pairs figure skating:
>>> Two cars skid and weave, appearing to “drift” while under each driver’s control
>>> The lead car swerves through an elaborate series of maneuvers, and the chase car follows, trying to mirror every move while staying as close as possible – without touching.
>>> It’s a high-risk scenario, with points for elegance, speed, and synchrony – a supreme test of driver skill and control.
🔹Now, imagine the same scenario without drivers, directed entirely by artificial intelligence. That’s exactly what Chris Gerdes , professor emeritus of mechanical engineering, and one of the world’s leading authorities on autonomous vehicles, chose as his next great challenge.
🔹Gerdes and team, in collaboration with researchers at the Toyota Research Institute, have created the 𝙬𝙤𝙧𝙡𝙙’𝙨 𝙛𝙞𝙧𝙨𝙩 𝙖𝙪𝙩𝙤𝙣𝙤𝙢𝙤𝙪𝙨 𝑻𝒂𝒏𝒅𝒆𝒎 𝑫𝒓𝒊𝒇𝒕 𝒕𝒆𝒂𝒎, with the goal of advancing the potential of AI to improve safety. Both cars, lead and chase, are driverless.
🔹Using only AI, the lead must plan and execute its line without human input. The chase car must follow suit, planning a trajectory that allows it to drop back when the lead vehicle changes direction and catch up quickly afterward.
Video: https://lnkd.in/d2GSpgqj
Source: https://lnkd.in/dNA5vh_5
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#iot #ai #genai #av #driverless #drift
𝐕𝐂𝐬 𝐀𝐫𝐞 𝐒𝐭𝐢𝐥𝐥 𝐏𝐨𝐮𝐫𝐢𝐧𝐠 𝐁𝐢𝐥𝐥𝐢𝐨𝐧𝐬 𝐈𝐧𝐭𝐨 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐒𝐭𝐚𝐫𝐭𝐮𝐩𝐬: 𝘐𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵𝘴 𝘪𝘯 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐 𝘴𝘵𝘢𝘳𝘵𝘶𝘱𝘴 — 𝘵𝘩𝘰𝘴𝘦 𝘵𝘩𝘢𝘵 𝘢𝘳𝘦 𝘤𝘳𝘦𝘢𝘵𝘪𝘯𝘨 𝘈𝘐-𝘱𝘰𝘸𝘦𝘳𝘦𝘥 𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘴 𝘵𝘰 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘦 𝘵𝘦𝘹𝘵, 𝘢𝘶𝘥𝘪𝘰, 𝘷𝘪𝘥𝘦𝘰 𝘢𝘯𝘥 𝘮𝘰𝘳𝘦 — 𝘢𝘳𝘦𝘯’𝘵 𝘴𝘭𝘰𝘸𝘪𝘯𝘨 𝘥𝘰𝘸𝘯. 𝘉𝘶𝘵 𝘵𝘩𝘦𝘺’𝘳𝘦 𝘣𝘦𝘪𝘯𝘨 𝘤𝘰𝘯𝘴𝘰𝘭𝘪𝘥𝘢𝘵𝘦𝘥 𝘪𝘯𝘵𝘰 𝘢 𝘴𝘩𝘳𝘪𝘯𝘬𝘪𝘯𝘨 𝘯𝘶𝘮𝘣𝘦𝘳 𝘰𝘧 𝘦𝘢𝘳𝘭𝘺-𝘴𝘵𝘢𝘨𝘦 𝘷𝘦𝘯𝘵𝘶𝘳𝘦𝘴 🚀🚀🚀 | Via TechCrunch | July 24, 2024 | @VINCI_Digital
𝐈𝐧 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐡𝐚𝐥𝐟 𝐨𝐟 𝟐𝟎𝟐𝟒, 𝐟𝐫𝐨𝐦 𝐉𝐚𝐧𝐮𝐚𝐫𝐲 𝐭𝐨 𝐉𝐮𝐥𝐲 𝟏𝟔, 𝟐𝟐𝟓 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐫𝐚𝐢𝐬𝐞𝐝 $𝟏𝟐.𝟑 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐕𝐂𝐬, according to Crunchbase data shared with TechCrunch
🔹Should the trend maintain, 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐚𝐫𝐞 𝐨𝐧 𝐭𝐫𝐚𝐜𝐤 𝐭𝐨 𝐦𝐚𝐭𝐜𝐡 𝐨𝐫 𝐞𝐱𝐜𝐞𝐞𝐝 𝐭𝐡𝐞 𝐫𝐨𝐮𝐠𝐡𝐥𝐲 $𝟐𝟏.𝟖 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐭𝐡𝐞𝐲 𝐫𝐚𝐢𝐬𝐞𝐝 𝐢𝐧 𝟐𝟎𝟐𝟑.
🔹Here’s how the H1 2024 total broke down by stage:
>>> 198 angel/seed deals: $𝟓𝟎𝟎 𝐦𝐢𝐥𝐥𝐢𝐨𝐧
>>> 39 early-stage deals: $𝟖.𝟕 𝐛𝐢𝐥𝐥𝐢𝐨𝐧
>>> 18 late-stage deals: $𝟑.𝟏 𝐛𝐢𝐥𝐥𝐢𝐨𝐧
🔹𝐄𝐚𝐫𝐥𝐲-𝐬𝐭𝐚𝐠𝐞 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐰𝐞𝐫𝐞 𝐭𝐡𝐞 𝐜𝐥𝐞𝐚𝐫 𝐰𝐢𝐧𝐧𝐞𝐫𝐬, like Elon Musk’s xAI (which raised $6 billion in May), China’s Moonshot AI ($1 billion in February), Mistral AI ($502.6 million in June), Glean ($203.2 million in February) and Cognition ($175 million in April).
🔹According to Chris Metinko, an analyst and senior reporter at Crunchbase, investors appear to be betting on big startups they see as having a high chance of success while letting those they’re less sure about “𝘸𝘪𝘵𝘩𝘦𝘳 𝘢𝘸𝘢𝘺” at the earlier stages.
Source: https://lnkd.in/dCgnJJdX
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#iot #ai #genai #vc #earlystage #startups
𝐇𝐨𝐰 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐂𝐚𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞: 𝘓𝘢𝘳𝘨𝘦 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦 𝘮𝘰𝘥𝘦𝘭𝘴 𝘤𝘢𝘯 𝘦𝘯𝘩𝘢𝘯𝘤𝘦 𝘥𝘢𝘵𝘢 𝘢𝘯𝘥 𝘢𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴 𝘸𝘰𝘳𝘬 𝘣𝘺 𝘩𝘦𝘭𝘱𝘪𝘯𝘨 𝘩𝘶𝘮𝘢𝘯𝘴 𝘱𝘳𝘦𝘱𝘢𝘳𝘦 𝘥𝘢𝘵𝘢, 𝘪𝘮𝘱𝘳𝘰𝘷𝘦 𝘮𝘰𝘥𝘦𝘭𝘴, 𝘢𝘯𝘥 𝘶𝘯𝘥𝘦𝘳𝘴𝘵𝘢𝘯𝘥 𝘳𝘦𝘴𝘶𝘭𝘵𝘴. 🚀🚀🚀 | Via MIT Sloan Management Review | June 11, 2024 | @VINCI_Digital
The glare of attention on 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 threatens to overshadow advanced analytics. Companies pouring resources into much-hyped large language models (𝐋𝐋𝐌𝐬) such as ChatGPT risk neglecting 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 and their proven value for 𝐢𝐦𝐩𝐫𝐨𝐯𝐢𝐧𝐠 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬, such as predicting the next best offer for each customer or optimizing supply chains
🔹The consequences for resource allocation and value creation are significant. Data and analytics teams that our team works with are reporting that 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 initiatives, often pushed by senior leaders afraid of missing out on the next big thing, are siphoning funds from their budgets.
🔹This reallocation could undermine projects aimed at delivering value across the organization, even as most enterprises are still seeking convincing business cases for the use of 𝐋𝐋𝐌𝐬.
🔹However, advanced analytics and 𝐋𝐋𝐌𝐬 have vastly different capabilities, and leaders should not think in terms of choosing one over the other:
"𝑻𝒉𝒆𝒔𝒆 𝒕𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 𝒄𝒂𝒏 𝒘𝒐𝒓𝒌 𝒊𝒏 𝒄𝒐𝒏𝒄𝒆𝒓𝒕, 𝒄𝒐𝒎𝒃𝒊𝒏𝒊𝒏𝒈, 𝒇𝒐𝒓 𝒆𝒙𝒂𝒎𝒑𝒍𝒆, 𝒕𝒉𝒆 𝒓𝒆𝒍𝒊𝒂𝒃𝒍𝒆 𝒑𝒓𝒆𝒅𝒊𝒄𝒕𝒊𝒗𝒆 𝒑𝒐𝒘𝒆𝒓 𝒐𝒇 𝒎𝒂𝒄𝒉𝒊𝒏𝒆 𝒍𝒆𝒂𝒓𝒏𝒊𝒏𝒈-𝒃𝒂𝒔𝒆𝒅 𝒂𝒅𝒗𝒂𝒏𝒄𝒆𝒅 𝒂𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔 𝒘𝒊𝒕𝒉 𝒕𝒉𝒆 𝒏𝒂𝒕𝒖𝒓𝒂𝒍 𝒍𝒂𝒏𝒈𝒖𝒂𝒈𝒆 𝒄𝒂𝒑𝒂𝒃𝒊𝒍𝒊𝒕𝒊𝒆𝒔 𝒐𝒇 𝑳𝑳𝑴𝒔."
Source: https://bit.ly/4cW7hK2
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#iot #ai #ml #predictive #advancedanalytics #genai #llms
𝐈𝐨𝐓 𝐌𝐚𝐫𝐤𝐞𝐭 𝐔𝐩𝐝𝐚𝐭𝐞: 𝘌𝘯𝘵𝘦𝘳𝘱𝘳𝘪𝘴𝘦 𝘐𝘰𝘛 𝘮𝘢𝘳𝘬𝘦𝘵 𝘴𝘪𝘻𝘦 𝘳𝘦𝘢𝘤𝘩𝘦𝘥 $269 𝒃𝒊𝒍𝒍𝒊𝒐𝒏 𝘪𝘯 2023, 𝘸𝘪𝘵𝘩 𝘨𝘳𝘰𝘸𝘵𝘩 𝘥𝘦𝘤𝘦𝘭𝘦𝘳𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 2024 🚀🚀🚀 | Via IoT Analytics | July 9, 2024 | @VINCI_Digital
The enterprise IoT market size reached $𝟐𝟔𝟗 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐢𝐧 𝟐𝟎𝟐𝟑, representing 15% growth year-over-year, according to the Global IoT Enterprise Spending dashboard (Q2/2024 update). Growth is expected to slow further to 12% in 2024 before re-accelerating in 2025
🔹Economic concerns have impacted corporate spending in general, including for IoT. IoT hardware technologies are currently hit the hardest.
🔹China, India, and the US are expected to lead in spending growth regionally, 𝐰𝐡𝐢𝐥𝐞 𝐚𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐚𝐧𝐝 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐦𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐞𝐫𝐬 𝐚𝐫𝐞 𝐬𝐞𝐭 𝐭𝐨 𝐥𝐞𝐚𝐝 𝐛𝐲 𝐯𝐞𝐫𝐭𝐢𝐜𝐚𝐥.
🔹Spending growth for 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐈𝐨𝐓 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 is expected to greatly outpace that of enterprise IoT spending in general.
Source: https://lnkd.in/djAizbPw
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#industrial #iot #iiot #market #ai #genai
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 from Stanford University School of Engineering in Internet of Things [IoT]. Recently, Fabio has successfully completed a Private Equity & Venture Capital course by SDA Bocconi [Final Grade: 94%], and two accredited certifications: Generative AI by Databricks Academy and Generative AI by Andrew Ng, founder DeepLearning.AI [Final Grade: 96%].
He began his career at Accenture Italia/Accenture, 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 @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), and - lately - the Harvard Business Review Advisory Council.
Recently, Fabio has been contracted by Bain & Company as Senior Advisor to its Advanced Manufacturing & Services and Energy & Natural Resources global practices, with a particular focus on Industrial IoT + AI / Generative AI's end-to-end solutions and their actual deployment, at-scale, within the Pulp & Paper, Oil & Energy / Utilities, Metals & Mining, Automotive, Agriculture and Industrial Equipment verticals.
In 2023, he had joined the European Research Executive Agency (REA) as an Industrial IoT + AI / Generative AI Expert and Evaluator for the HORIZON Europe Programme of the European Commission, and 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/scaleups, 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!
#industrial #iot #iiot #ai #genai #generativeai #casestudies #insights #perspectives
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Helping Tech Founders, Agency and Business Owners Scale their Business | Outreach Expert | AI Founder Crunchbase and Apollo Alternative | Data Driven Deal Sourcing and Deal Flow for VCs | Ex-BMW | Ex-H&M | CBS
8moHope everyone is soaking up the last bit of summer. ☀️
Activate Innovation Ecosystems | Tech Ambassador | Founder of Alchemy Crew Ventures + Scouting for Growth Podcast | Chair, Board Member, Advisor | Honorary Senior Visiting Fellow-Bayes Business School (formerly CASS)
8moRising back into routine brings fresh perspectives too.
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8moVery informative 🔹Fabio Bottacci
Co-Founder of Altrosyn and DIrector at CDTECH | Inventor | Manufacturer
8moThe convergence of IIoT and AI is accelerating. GenAI adds another layer to this complex ecosystem. How are you envisioning the role of explainable AI in these industrial applications?