Join us for an insightful fireside chat as we peer into the future of artificial intelligence (AI) in 2024. In this dynamic session, industry experts will share their predictions and unveil the vast opportunities ahead in the rapidly evolving landscape of AI. Our speakers will delve into key areas shaping the AI ecosystem, exploring recent advancements in machine learning, large language models (LLMs), and beyond. Studying transformative breakthroughs to emerging trends, we will analyze the forces propelling AI innovation and their potential impact on industries ranging from healthcare and finance to manufacturing and entertainment.

In this webinar, you will learn:

What could be next, after this year’s explosive growth of large language models (LLMs)
Strategic considerations for organizations and data professionals navigating the AI landscape in 2024
How open-source AI and closed-source AI will compete in the coming year and the potential outcomes of the race to build marketable AI systems

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Video

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Speakers

Chris Styduhar
Director of Product, AI
Chris is a Director of Product Management at Anaconda. He is the product leader for Anaconda’s AI solutions, leading the engineering, implementation, and services teams to enable users to realize value by implementing machine learning, AI, and data science capabilities to take applications into production quickly. Previously, Chris served in product manager roles at Arrikto, DataRobot, Indeed, and L4 Digital. He holds a bachelor’s degree in computer science from the University of Dayton.
Greg Jennings
Director of Engineering
Greg is a Director of Engineering at Anaconda. He leads teams in building tools to power the next generation of AI, data science, and data-driven applications. Previously, Greg has served in executive roles at technology companies and founded two organizations that developed AI platforms that surfaced insights and data visualizations to help leaders optimize business processes and improve decision-making. He holds a bachelor’s degree in physics and chemistry from Longwood University and a master’s degree in materials science and engineering from the University of Virginia.
Daniel Rodriguez
Engineering Lead
Daniel is a Senior Software Engineer (full-stack) at Anaconda. He led the development of Anaconda AI Assistant, an AI-powered tool to help data scientists, developers, and researchers accelerate their work by posing questions, asking for code examples, or clarifying concepts directly within their notebooks. Previously, Daniel was a software engineer at Microsoft. He holds an advanced technical degree in informatics from Universidad Tecnológica del Centro in Venezuela and a master’s in engineering from UNITEC.

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