🤖Generative AI & Industrial IoT🏭: A Match in Heaven?

OpenAI | ChatGPT

Prompt: {{{Generative AI IoT}}}

🔹 Generative AI and IoT (Internet of Things) are two rapidly evolving fields that are having a significant impact on various industries. Generative AI involves using artificial intelligence algorithms to generate novel content, such as images, music, and text. On the other hand, IoT refers to a network of physical devices, vehicles, and buildings that are embedded with sensors, software, and other technologies to connect and exchange data.

🔹 The combination of generative AI and IoT has enormous potential for creating new products and services, automating tasks, and improving efficiency. For example, generative AI can be used to create virtual prototypes of IoT devices, allowing manufacturers to test and optimize their designs before producing physical prototypes. Generative AI can also be used to generate new IoT data, such as sensor readings, which can be used to train machine learning models to detect anomalies or predict future behavior.

🔹 Another potential application of generative AI and IoT is in creating personalized experiences for users. By analyzing user data collected from IoT devices, such as wearable devices, smart home systems, and connected vehicles, generative AI algorithms can create customized recommendations, alerts, and notifications.

🔹 However, there are also significant challenges associated with the combination of generative AI and IoT, particularly in the areas of security and privacy. As more devices become connected and generate data, there is a greater risk of data breaches and cyber-attacks. It is essential to ensure that data is protected at every stage of its collection, storage, and analysis, and that users have control over their personal information.

🔹 Overall, the combination of generative AI and IoT has enormous potential for transforming various industries, but it is crucial to address the challenges associated with this technology to ensure that it is deployed in a safe and responsible manner.

Prompt: {{{Actual Case Studies of Generative AI and Industrial IoT}}}

🔹 There are several real-world examples of how generative AI and Industrial IoT (IIoT) are being used together to improve various industrial processes. Here are a few case studies:

Siemens: Siemens has been using generative AI to design and optimize parts for gas turbines. By using generative AI algorithms to create thousands of design options, Siemens has been able to reduce the design process from several months to just a few weeks, while also improving performance and reducing material usage.

GE: General Electric has been using IIoT sensors to collect data from its aircraft engines, and then using generative AI to create predictive maintenance models. These models can predict when maintenance is needed, enabling GE to schedule maintenance proactively and reduce unplanned downtime.

BMW Group: BMW is using generative AI and IIoT to optimize its manufacturing processes. By collecting data from sensors on its production lines, BMW can use generative AI to create simulations and test different scenarios to identify the most efficient and cost-effective manufacturing processes.

ABB: ABB, a robotics and automation company, is using generative AI to create customized robot grippers for its customers. By analyzing data about the objects that the robot will be handling, generative AI can design a gripper that is perfectly matched to the object's shape, size, and weight.

🔹 These are just a few examples of how generative AI and IIoT are being used together to improve industrial processes. As these technologies continue to evolve, we can expect to see even more innovative use cases emerge.

😱😱😱 I suppose that from now on, thanks to Generative AI, you guys won't need my newsletter on Industrial IoT anymore, or not... Let's find out!

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INSIGHTS & PERSPECTIVES

𝐃𝐀𝐕𝐎𝐒 𝟐𝟎𝟐𝟑 - 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: 𝐚 𝐠𝐚𝐦𝐞-𝐜𝐡𝐚𝐧𝐠𝐞𝐫 𝐭𝐡𝐚𝐭 𝐬𝐨𝐜𝐢𝐞𝐭𝐲 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐧𝐞𝐞𝐝 𝐭𝐨 𝐛𝐞 𝐫𝐞𝐚𝐝𝐲 𝐟𝐨𝐫: 𝘋𝘦𝘴𝘱𝘪𝘵𝘦 𝘵𝘩𝘦 𝘤𝘶𝘳𝘳𝘦𝘯𝘵 𝘥𝘰𝘸𝘯𝘵𝘶𝘳𝘯 𝘢𝘯𝘥 𝘭𝘢𝘺𝘰𝘧𝘧𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘵𝘦𝘤𝘩 𝘴𝘦𝘤𝘵𝘰𝘳, 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘤𝘰𝘯𝘵𝘪𝘯𝘶𝘦 𝘵𝘰 𝘳𝘦𝘤𝘦𝘪𝘷𝘦 𝘩𝘶𝘨𝘦 𝘪𝘯𝘵𝘦𝘳𝘦𝘴𝘵 𝘧𝘳𝘰𝘮 𝘪𝘯𝘷𝘦𝘴𝘵𝘰𝘳𝘴. 🚀🚀🚀 | Via World Economic Forum | January 2023

🔹A Generative Pretrained Transformer (GPT) is a type of large language model (LLM) that uses deep learning to generate human-like text.

🔹They are called "generative" because they can generate new text based on the input they receive, "pretrained" because they are trained on a large corpus of text data before being fine-tuned for specific tasks, and "transformers" because they use a transformer based neural network architecture to process input text and generate output text.

🔹While generative AI has people excited about a new wave of creativity, there are concerns about the impact of these models on society.

🔹Only when solid checks and balances are in place can there be a more thoughtful, beneficial expansion of generative AI technologies / products.

Video: https://lnkd.in/eviUCNkj

Source: https://bit.ly/3JDXlbd

#iot #ai #aiot #generativeai #gpt #largelanguagemodel #llm #gamechanger #investement #vc #davos #wef

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Benefits of Generative AI in manufacturing?!

By Daniel Kuepper, Global co-lead Manufacturing & Supply Chain | Boston Consulting Group (BCG) Managing Director & Senior Partner | March 17, 2023

BCG | March 2023

🔹The announcements of OpenAI on GPT-4 earlier this week inspired many of us. And we reflected a bit on what this means for a potential application within manufacturing and along the supply chain.

🔹And yes, there are several areas where Generative AI can be deployed. Take the generation of synthetic training data as an example that can reduce start-up times for advanced robots.

Swipe to the right to find our perspective. And please, like and/or comment and share your views!

Thanks to my colleagues Dr. Kai-Frederic Seitz, Dr. Tilman Buchner, Martin Kleinhans for supporting with this initial view.

Source: https://www.linkedin.com/posts/daniel-kuepper_generative-ai-in-manufacturing-activity-7042512193652744192-CEDl/

#factoryofthefuture #generativeai #manufacturing

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A New Era of Generative AI for Everyone

The technology underpinning ChatGPT will transform work and reinvent business | Via Accenture | March 22, 2023

Interested in Generative AI and how it impacts business, how we work? Confused about Generative AI vs ChatGPT AI vs Foundation and Large Language Models?*

Read the new report Accenture wrote, hot off the press, to learn more about all of this and what you can do now.

🔹The technology underpinning ChatGPT will transform work and reinvent business.

🔹Advances in language-based AI – the technology that powers applications like ChatGPT – are ushering in a new era for Total Enterprise Reinvention.

🔹Everything from science to business to society itself will be transformed. The positive impact on human creativity and productivity will be massive.

🔹Companies will need to radically rethink how work gets done. The focus must be on evolving operations and training people as much as on technology.

🔹To capitalize, companies need a strong digital core and investments in people to reap the value of AI in a responsible way.

*Note: Generative AI refers to a class of AI models that can generate new content, while ChatGPT is a specific type of generative AI model that is designed for NLP tasks. Foundation and Large Language Models are the massive datasets and pre-trained models that power many modern AI applications, including ChatGPT. All of these technologies have the potential to impact business and how we work in significant ways.

Source: https://accntu.re/3FResVE

#iot #ai #aiot #generativeai #chatgpt #gpt #foundation  #largelanguagemodel #llm #business #work #science #society #creativity #productivity #operations #training #investment #people #digital

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6 Applications of Generative AI in Industrials

From infrastructure design to materials discovery, we look at 6 ways industrials companies can leverage generative AI — and the vendors building tech solutions in each area | Via CB Insights | March 22, 2023

🔹Generative AI — which refers to AI technologies that generate entirely new content, from lines of code to images to human-like speech — is kindling excitement across manufacturing, automotive, and other industrial sectors.

🔹The tech is already delivering time and cost savings in a range of business functions, from R&D to product design. For instance, generative AI could reduce design timelines by up to 90% for infrastructure projects and slash raw material use by upwards of 95% in industrial design. 

🔹Industrials incumbents are moving quickly to take advantage. Hyundai Assan , for instance, has used Autodesk’s generative design software to figure out how to efficiently make parts for new vehicle modalities. IBM, meanwhile, is using generative AI to identify and test computer chip materials. 

🔹Here are 6 industrials applications where generative AI can accelerate product development and scale critical work: 

• Building design

• Manufacturing & product design

• Infrastructure design

• Materials discovery

• Synthetic data for autonomous driving

• Procurement

Source: https://bit.ly/42E1ioZ

#iot #ai #aiot #generativeai #gpt #largelanguagemodel #llm #manufacturing #automotive #industrial #equipment #randd #productdesign

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MARKET MAP: GENERATIVE AI COMPANIES WITH >$5MM RAISED (as of March 2023) | By Kelvin Mu | March 20, 2013

Higher-res downloadable PDF: https://lnkd.in/gT3ur8cx

🔹This list includes private, non-exited, generative AI companies with over $5MM USD of total fundraising (as disclosed by PitchBook Data).

🔹The total amount raised is $17B. This is likely extremely understated for two reasons. (1) Microsoft didn't disclose their latest round in OpenAI so the official amount recorded here is only $1B (2) many financing rounds are undisclosed. The actual amount is likely 2-3x higher.

🔹There are nearly 300 companies in this market map, but I'm missing others. If you are a generative AI company with over $5MM of fundraising, please comment below and I'll try to get you added for the next iteration.

🔹I have not included chip startups such as Cerebras, Graphcore although they are obviously important players to generative AI as well.

Source: https://www.linkedin.com/posts/kelvinmu_artificialintelligence-generativeai-startups-activity-7043394287820017664-DLuy

#artificialintelligence #generativeai #startups #venturecapital #VC #AI #ML #machinelearning

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𝐔𝐬𝐢𝐧𝐠 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐈𝐨𝐓: 𝟑 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈𝐨𝐓 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐁𝐞𝐲𝐨𝐧𝐝 𝐂𝐡𝐚𝐭𝐆𝐏𝐓: 𝘊𝘩𝘢𝘵𝘎𝘗𝘛 𝘩𝘢𝘴 𝘴𝘱𝘢𝘳𝘬𝘦𝘥 𝘪𝘯𝘵𝘦𝘳𝘦𝘴𝘵 𝘪𝘯 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐 𝘢𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 𝘪𝘯 𝘯𝘦𝘢𝘳𝘭𝘺 𝘦𝘷𝘦𝘳𝘺 𝘪𝘯𝘥𝘶𝘴𝘵𝘳𝘺. 🚀🚀🚀 | Via IoT Analytics | March 14, 2023

🔹According to new research from IoT Analytics, most generative AI applications are at a very early stage, with IoT-related use cases currently not in focus.

🔹Code generation for IoT, robotics control, and social IoT devices are some of the most promising IoT-related applications of generative AI.

𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬

🔹Generative AI and large language models (LLL) are receiving serious attention right now.

🔹The IoT community is yet to produce a compelling combination of generative AI and IoT.

🔹Whoever comes up with the first convincing application may generate a first-mover advantage.

Source: https://bit.ly/3LJYktb

#iot #ai #aiot #generativeai #llms #coding #robotics #social #iotapplications #firstmover

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𝐁𝐞𝐲𝐨𝐧𝐝 𝐂𝐡𝐚𝐭𝐆𝐏𝐓: 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬 (𝐁𝟐𝐁): 𝘊𝘩𝘢𝘵𝘎𝘗𝘛, 𝘸𝘩𝘪𝘭𝘦 𝘤𝘰𝘰𝘭, 𝘪𝘴 𝘫𝘶𝘴𝘵 𝘵𝘩𝘦 𝘣𝘦𝘨𝘪𝘯𝘯𝘪𝘯𝘨; 𝘦𝘯𝘵𝘦𝘳𝘱𝘳𝘪𝘴𝘦 𝘶𝘴𝘦𝘴 𝘧𝘰𝘳 𝘨𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐 𝘢𝘳𝘦 𝘧𝘢𝘳 𝘮𝘰𝘳𝘦 𝘴𝘰𝘱𝘩𝘪𝘴𝘵𝘪𝘤𝘢𝘵𝘦𝘥. 🚀🚀🚀 | Via Gartner – January 2023

🔹Venture capital firms have invested over $1.7 billion in generative AI solutions over the last three years, with AI-enabled drug discovery and AI software coding receiving the most funding.

🔹Generative AI can explore many possible designs of an object to find the right or most suitable match.

🔹It not only augments and accelerates design in many fields, it also has the potential to “invent” novel designs or objects that humans may have missed otherwise.

𝐅𝐢𝐯𝐞 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 𝐟𝐨𝐫 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈

🔹Generative AI in drug design

🔹Generative AI in material science

🔹Generative AI in chip design

🔹Generative AI in synthetic data

🔹Generative design of parts

Source: https://gtnr.it/3TwUlBT

#iot #ai #generativeai #vc #enterprise #drugdiscovery #software

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𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐢𝐬 𝐡𝐞𝐫𝐞: 𝐇𝐨𝐰 𝐭𝐨𝐨𝐥𝐬 𝐥𝐢𝐤𝐞 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐜𝐨𝐮𝐥𝐝 𝐜𝐡𝐚𝐧𝐠𝐞 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬: 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐 𝘢𝘯𝘥 𝘰𝘵𝘩𝘦𝘳 𝘧𝘰𝘶𝘯𝘥𝘢𝘵𝘪𝘰𝘯 𝘮𝘰𝘥𝘦𝘭𝘴 𝘢𝘳𝘦 𝘤𝘩𝘢𝘯𝘨𝘪𝘯𝘨 𝘵𝘩𝘦 𝘈𝘐 𝘨𝘢𝘮𝘦, 𝘵𝘢𝘬𝘪𝘯𝘨 𝘢𝘴𝘴𝘪𝘴𝘵𝘪𝘷𝘦 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘵𝘰 𝘢 𝘯𝘦𝘸 𝘭𝘦𝘷𝘦𝘭, 𝘳𝘦𝘥𝘶𝘤𝘪𝘯𝘨 𝘢𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘵𝘪𝘮𝘦, 𝘢𝘯𝘥 𝘣𝘳𝘪𝘯𝘨𝘪𝘯𝘨 𝘱𝘰𝘸𝘦𝘳𝘧𝘶𝘭 𝘤𝘢𝘱𝘢𝘣𝘪𝘭𝘪𝘵𝘪𝘦𝘴 𝘵𝘰 𝘯𝘰𝘯𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘶𝘴𝘦𝘳𝘴. 🚀🚀🚀 | Via McKinsey & Company | December 2022

Again, by ChatGPT "itself":

🔹The rise of generative AI has the potential to be a major game-changer for businesses.

🔹This technology, which allows for the creation of original content by learning from existing data, has the power to revolutionize industries and transform the way companies operate.

🔹By enabling the automation of many tasks that were previously done by humans, generative AI has the potential to increase efficiency and productivity, reduce costs, and open up new opportunities for growth.

🔹As such, businesses that are able to effectively leverage the technology are likely to gain a significant competitive advantage.

𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐮𝐬𝐞𝐬 𝐚𝐛𝐨𝐮𝐧𝐝

𝐓𝐡𝐞𝐬𝐞 𝐦𝐨𝐝𝐞𝐥𝐬 𝐚𝐫𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐞𝐚𝐫𝐥𝐲 𝐝𝐚𝐲𝐬 𝐨𝐟 𝐬𝐜𝐚𝐥𝐢𝐧𝐠, 𝐛𝐮𝐭 𝐰𝐞’𝐯𝐞 𝐬𝐭𝐚𝐫𝐭𝐞𝐝 𝐬𝐞𝐞𝐢𝐧𝐠 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐛𝐚𝐭𝐜𝐡 𝐨𝐟 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬, 𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 (𝐞𝐱𝐡𝐢𝐛𝐢𝐭):

🔹𝘔𝘢𝘳𝘬𝘦𝘵𝘪𝘯𝘨 𝘢𝘯𝘥 𝘴𝘢𝘭𝘦𝘴—crafting personalized marketing, social media, and technical sales content (including text, images, and video); creating assistants aligned to specific businesses, such as retail

🔹𝘖𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴—generating task lists for efficient execution of a given activity

🔹𝘐𝘛/𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨—writing, documenting, and reviewing code

🔹𝘙𝘪𝘴𝘬 𝘢𝘯𝘥 𝘭𝘦𝘨𝘢𝘭—answering complex questions, pulling from vast amounts of legal documentation, and drafting and reviewing annual reports

🔹𝘙&𝘋—accelerating drug discovery through better understanding of diseases and discovery of chemical structures

Source: https://mck.co/3JZ1Kqz

#iot #ai #generativeai #chatgpt #gamechanger #business #usecases #applications

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MAD LANDSCAPE 2023 | MACHINE LEARNING, AI & DATA: Top 10 Trends

By Matt Turck, VC FirstMark | Data Driven NYC | March 15, 2023

🔹Data infrastructure: 

1. Funding grinds to a halt

2. Bundling & consolidation ahead 

3. The Modern Data Stack under pressure 

4. Convergence and Simplification

🔹ML/AI:

5. AI goes mainstream (and multimodal)

6. Funding: In AI, it’s party like it’s 1999

7. The new political economy of AI: Big Tech vs AGI Research Labs 

8. New startup opportunities: GenAI SaaS and LLMOps

9. The inevitable backlash: AI ethics & safety

10. The “AI Wars” reach a new level of intensity

Source: https://bit.ly/3FStvP8

#iot #ai #aiot#ml#data #generativeai#genai#saas#llm#ops#landscape#2023trends#mainstream#funding

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Bio: Fabio Bottacci is a relationship builder, creative problem solver and strategic thinker. Senior industrial executive, 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.

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 client's network, industry knowledge and business development expertise in the oil and gas, automotive and energy/utilities verticals.

Since 2015, he has been the founder & CEO of VINCI Digital - Industrial IoT Strategic Advisory, being recognized internationally as a thought leader by well-known organization, such as the World Economic Forum, IoT Solution World Congress, BNDES, etc., and helping startups, SME, and big corporations to thrive within the actual digital transformation environment, by developing new business models, and delivering actual results/ROI in months, not years.

@BOSSA SUMMIT 2023 - By Bossanova Investimentos | São Paulo/SP, Brazil | March 23-24, 2023