AI Xperience (CONT’D FROM PAGE 1)
data warehouse to tag and organize the data before put- ting it into a Data Lake. This enhances the data’s usability, discoverability, and reliability. This marks the initial step for a practical AI implementation for immediate decision-mak- ing. Also from Bay Cities, Jim Hawton, Chief Information Technology Officer, will talk about AI’s role in cybersecuri- ty. Hawton is instrumental in spearheading the company’s Industry 4.0 principles. The Simulation Century And The AI Readiness Index More than a year after the bump in the night (Nov. 30, 2022) when ChatGPT was born, we are still wrestling with
the advances in technology, the digital twin has taken off, but what is it exactly and what do you use it for? “There are so many misconceptions about what a dig- ital twin is, and it’s basically a simulation of something in the real world,” Azzouz said. “You can optimize your oper- ation, you can improve quality, you can reduce costs and you can enhance sustainability.”
the impact of large language models (LLMs) and other machine learning applications. It is important that every organization determines the right bal- ance between machine and human intelligence and makes an effort to optimize outcomes. In this session led by Richard Boyd, CEO of Ultisim Inc.,
Mohamed Azzouz
Greg Tucker
Jim Hawton
While simulation is nothing new, it is growing rapidly, and its evolution has given companies more access to use it in effective ways. Azzouz said that a digital twin can help anticipate problems and test solutions in a virtual environ- ment. It offers not just data, but useful information. Here are some of the highlights from other speaker presentations at the AI Xperience: Go Jump In The Lake Led by Greg Tucker, Chairman & CEO, Bay Cities, this session is not just about AI; it’s about creating Industry 4.0 to free up data that AI can use. Bay Cities is constructing a
Richard Boyd
you will learn how to self-assess your readiness to adopt AI beginning with low-level RPA (robotic process automa- tion), LLMs, knowledge graphs and higher order machine learning functions. Case studies will discuss real life imple- mentations with 10x and greater returns on investment to help guide you and your organization in your AI Road Map planning process. How much AI should you bring to your enterprise, or are you better off waiting?
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