Conference Schedule

How many of you have heard that AI is here to take your job? Yeah, exactly. Us too. Apparently, AI is here to take ALL the jobs. Yet, here we are, employed and busier than EVER. Did you know that every large tech company has announced AI products this year with the promise to transform your business? Join Dona to learn: What in this latest AI craze is hype, and what is real? What are successful companies actually doing with AI these days? What are three things that you ABSOLUTELY should be doing in the next six months to get your business ready to implement AI in a secure and responsible...Read more

Why does one of the AI domains with the highest ROI frequently go unnoticed in mainstream discussions about AI? Could it be that Mathematical Optimization, with its equations and complex algorithms, is too often seen as the exclusive domain of PhDs in operations research or industrial engineering? Thankfully, optimization tools and techniques are now more accessible than ever. In this session, we will explore how mathematical optimization is transforming operational decision-making. We will detail how five innovation-minded companies across diverse sectors are applying optimization...Read more

"Does GitHub Copilot stunt learning, and why doesn't it always produce relevant suggestions?" These concerns echo the anxiety surrounding using AI to code, often rooted in the steep learning curve associated with adopting new technology. What if you were told that you might be using GitHub Copilot wrong? Through 2000s nostalgia and interactive storytelling, Rizel will provide attendees with a practical framework for effectively using GitHub Copilot, so you can write code that elevates your career and learn new programming languages. Audience members will leave with strategies for using AI...Read more

According to a recent survey, 61.7% of enterprise engineering teams now have or are planning to have a generative AI application within a year—and 14.1% are already in production. As enterprises race to deploy generative AI into their businesses, the need to ensure that LLMs are deployed reliably and responsibly is paramount. But how can enterprises and AI engineers evaluate and troubleshoot models in real time? In this session, Greg Chase, a data scientist and machine learning engineer at Arize AI, will cover emerging best practices from direct work advising enterprises with real issues....Read more

Facing the dual challenge of enhancing deployment quality without extending regression testing time, Ethan Ferguson's team turned to automation. The team consisted mainly of manual QA professionals with a background in UI testing, not automation engineering. The question was how to leverage the existing team's skills to test services layers and develop stable release automation scripts. Utilizing prior experience in building Postman automation frameworks, they aimed to empower the team. Concurrent company changes included adopting Postman as the primary API testing tool and integrating...Read more

Want to get better output from Large Language Models (LLMs)? Give it better input! This beginner-friendly talk will go over techniques to help you be a better prompt engineer and how to develop innovative chat-based applications primarily using English, highlighting the importance of prompting.Read more

Artificial intelligence is transforming both society and industry at an exceedingly rapid pace, raising questions about the implications. How will AI shape our future? What ethical and safety considerations should guide its development? What is Artificial General Intelligence (AGI)? How close are we to AGI, and should we be concerned? Join us for a panel discussion moderated by Dionny Santiago and take the opportunity to ask industry leaders the most pressing questions in AI.Read more