On-demand webinar

Unlock the secrets to cost-effective AI

Cut AI infrastructure costs by 40% without sacrificing innovation

Watch on demand

Since the launch of ChatGPT, the race to integrate data science and AI into business operations has accelerated like never before. With CEOs and leaders making bold promises about an AI-driven future, the pressure is on to deliver. But AI is not cheap—and the costs can spiral out of control quickly, especially when diving into generative AI and large language models (LLM).

What you'll learn:

Join our team of Domino experts as they draw on over a decade of experience working with dozens of clients to share actionable insights to help you maximize your AI initiatives' impact and cost-efficiency. In this 1-hour session, you'll learn about:

Identifying the hidden cost drivers of AI
How to overcome common AI cost pitfalls
Quantifying the financial impact of Generative AI (GenAI)
Strategies to take control of your AI spending with Domino FinOps

If you're responsible for budgeting, managing, or implementing AI and data science infrastructure (compute, storage) in the cloud or on-premises, this webinar will help you optimize costs and maximize your budget.

Featured Speakers

Kjell Carlsson, Ph.D.

Head of AI Strategy, Domino

Kjell Carlsson is the head of AI strategy at Domino Data Lab where he advises organizations on scaling impact with AI technologies. Previously, he covered AI, ML, and data science as a Principal Analyst at Forrester Research. He has written dozens of reports on AI topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices. He has spoken in countless keynotes, panels, and webinars, and is frequently quoted in the media. Dr. Carlsson is also the host of the Data Science Leaders podcast and received his Ph.D. from Harvard University.

Dan Mennell

Senior Director of Sales Engineering, Domino

Dan Mennell is a Senior Director of Sales Engineering at Domino Data Lab based in Philadelphia, PA. Dan has over 20 years of experience working with enterprise IT organizations large and small in fields such as Network, Systems, and application management, Software and test data management, and distributed systems. When not working, Dan is getting yelled at by his wife because the smart home that he promised would "make life easier" is not working as expected.