**Topic repeated at 2 different times, please join the session that is best suited for your time zone.**
Imagine making a smoothie with various ingredients, only for a friend to demand one specific ingredient back after blending. This analogy embodies the challenges faced when integrating data into AI models like ChatGPT. As AI’s influence grows, particularly with tools like OpenAI’s ChatGPT, understanding potential risks becomes essential before direct enterprise adoption. In this talk, Jerry explores the risks of incorporating ChatGPT directly into business operations, emphasizing the importance of open alternatives and approaches for maintaining trustworthy AI solutions.
Highlighting the evolution of AI tools, we recognize ChatGPT’s ability to harness the immense power of GPT-3 and GPT-4, catering to numerous AI applications. The world of AI chatbots is rapidly expanding, with Google’s Bard and Meta’s LLaMA2 as key competitors.
However, the adoption of ChatGPT directly into enterprises presents multifaceted risks. These range from potential security breaches, liability issues, intellectual property complexities, open-source license violations, to limitations on AI development. Such concerns emphasize the criticality of being vigilant with ChatGPT usage in businesses.
Exploring solutions to these concerns, Jerry demonstrates aspects of IBM’s watsonx as an emerges as a viable contender. Its features — watsonx.data, watsonx.ai, and watsonx.governance — offer a transparent approach to data handling, much like retrieving that blended apple in our smoothie analogy. Watsonx’s collaboration with Hugging Face further solidifies its stand in offering trustworthy AI.
In conclusion, while AI’s potential is vast and ever-evolving, it is imperative to exercise caution. The balance between innovation and responsibility is delicate. By utilizing open and transparent AI tools, businesses can harness AI’s power while ensuring data integrity, compliance, and trustworthiness. As the AI frontier expands, the emphasis must be on safe, responsible, and trustworthy AI adoption.
**Presenter: Jerry Cuomo**
Gennaro “Jerry” Cuomo (born 1962) is an American software engineer who has worked for IBM since 1987. Holding the title of IBM Fellow, Cuomo is known as one of the founding fathers of IBM WebSphere Software, a software framework and middleware that hosts Java-based web applications.
Cuomo has filed for over 50 US patents and has been cited over 3000 times. His most visible patent is the first use of the “Someone is typing…” indicator found in instant messaging applications (U.S. Patent 5,990,887).
At IBM, Cuomo has led projects in the areas of: Blockchain, APIs, cloud computing, mobile computing, Internet of Things, web server performance & availability, web security, web caching, edge computing, service-oriented architecture and REST.
Cuomo is the co-author of the book, Blockchain for Business, that illustrates how blockchain technology is re-imagining many of the world’s most fundamental business interactions and opening the door to new styles of digital interactions that have yet to be imagined. In March 2016 and 2018, Cuomo was called upon by the United States government as an expert witness to testify to US Energy and Commerce Committee on Digital Currency and Blockchain. During his 2016 testimony Cuomo urged the Obama administration to adopt Blockchain as a primary means to protect citizen identity and to enhance national security. His testimony can be seen on YouTube.
Cuomo is currently the VP of Technology within IBM’s Consulting business unit, where he is driving the technical strategy for AI-powered automation. In 2022, he published two books titled Think Blockchain and The Art of Automation, both accompanied by podcasts of the same name.
**Please join us at the session that is best suited to your time zone. Note that this topic is:**
**1. Repeated at two different times to accommodate various time zones, because it is**
**2. Posted simultaneously in multiple meetup groups world-wide**
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