AI Catalyst: Enterprise Agent Deployments
Published by Pearson
Build commercially successful, enterprise-grade AI agents and multi-agent teams
Individual AI agents and multi-agent teams are rapidly reshaping how enterprises work — augmenting teams, streamlining processes and unlocking entirely new capabilities. With today's LLMs able to reliably complete many tasks that would take a human several hours (and that figure doubling about every 200 days), now is the time to be bold about strategically adding agents into enterprise workflows. But to be safe, secure and (above all!) commercially successful, enterprises need thoughtful agentic AI architectures, systems, and governance in place. With recent MIT research indicating 95% of enterprise AI projects never lead to a positive return on investment, this event will position you to emphatically buck the trend. Whether you're a researcher, developer, or business leader, you'll leave the event equipped with the knowledge and confidence to navigate the transformative potential of AI agents and multi-agent teams in your work and ventures.
Join host Jon Krohn and technical leaders for this three-hour special event as they discuss the opportunities, pitfalls, and case studies in deploying commercially successful agents at scale.
AI Catalyst Series with Jon Krohn
The AI Catalyst special event series from Pearson brings fresh ideas from the leading voices of AI to make complex topics understandable and actionable. Host Jon Krohn guides the conversation and explains how to bring state-of-the-art methods into practice. Gain new information or a different perspective to make an impact in your job and in the world.
We are finalizing the schedule for this event. Please check back closer to the event date for more information.
Schedule
The time frames are only estimates and may vary according to how the class is progressing.
Jon Krohn: Welcome (10 minutes)
Segment 1: Deploying Enterprise AI Agents at Scale, Lightning Fast with Luca Antiga, CTO at Lightning AI (30 minutes)
- In this talk, we'll demo how to deploy enterprise-grade multi-agent systems at scale by building for rapid iteration, clean infrastructure, and flexible deployment across self-hosted and managed models so teams can deliver real business impact, lightning fast.
Discussion/Q&A with Jon Krohn and Luca Antiga (15 mins)
Segment 2: The Evolving Landscape of Work: Navigating Change in the Age of AI with Sadie St Lawrence, CEO at Human Machine Collaboration Institute (30 minutes)
- In a rapidly evolving professional landscape, the integration of Artificial Intelligence and other disruptive technologies is reshaping the way we work. This talk by Sadie explores the seismic shifts in work culture, expectations, and roles for leaders, managers, and employees alike. In navigating these changes, the emphasis is on the necessity for a mindset of perpetual learning and curiosity. Sadie will provide actionable insights and recommendations to not just adapt, but thrive, in the next era of work. C-Suite Executives, entrepreneurs, and hands-on AI practitioners alike will come away better equipped to lead their organizations into a future that's already here.
Discussion/Q&A with Jon Krohn and Sadie St Lawrence (15 mins)
Break (5 minutes)
Segment 3: How Enterprises Operationalize Multi-Agent Agent Teams with CrewAI with Tony Kipkemboi, Founding Senior Developer Relations Engineer at CrewAI (30 minutes)
- As enterprises look to move beyond AI pilots to true business transformation, multi-agent teams are emerging as a practical solution to real-world complexity. This talk unpacks how organizations are deploying CrewAI-powered agent teams to streamline operations, automate intricate processes, and adapt to changing enterprise needs. Drawing from production deployments, we’ll discuss architectural patterns, collaboration strategies between agents, and the operational lessons learned in scaling these systems—from workflow control to monitoring and compliance. Attendees will gain practical insight into how CrewAI enables both flexibility and governance, making multi-agent teams a realistic part of today’s enterprise stack.
Discussion/Q&A with Jon Krohn and Tony Kipkemboi (15 mins)
Group Discussion and closing remarks with Jon Krohn (30 minutes)
Your Hosts and Guests
Jon Krohn
Jon Krohn is Co-Founder of the AI software firm Y Carrot and a Fellow at Lightning AI. He authored the book Deep Learning Illustrated, an instant #1 bestseller that was translated into seven languages. He is also the host of SuperDataScience, the data science industry’s most listened-to podcast. Jon is renowned for his compelling lectures, which he offers at leading universities and conferences, as well as via his award-winning YouTube channel. He holds a PhD from Oxford and has been publishing on machine learning in prominent academic journals since 2010.
Luca Antiga
Luca Antiga started his journey as a researcher in bioengineering, and later co-founded Orobix, an Italian company specialized in building and deploying AI in production settings. He was an early contributor to PyTorch core and co-authored “Deep Learning with PyTorch” (published by Manning). He has been CTO at Lightning AI since 2022, and in 2024 he was designated as the Chair of the Technical Advisory Council at the PyTorch Foundation.
Sadie St. Lawrence
Sadie St. Lawrence is the Founder and CEO of the Human Machine Collaboration Institute (HMCI), where she leads pioneering research, education, and advising efforts aimed at optimizing human and machine interaction in the AI-driven era of knowledge work. She also founded Women in Data™, an international non-profit organization represented in 55 countries with a thriving community of over 70,000 data professionals. Under her leadership, Women in Data was recognized as a Top 50 Leading Non-Profit and the premier community for Women in AI and Tech in 2021.
With academic foundations in piano performance, psychology, and data science, Sadie’s career spans from neuroscience research to over a decade leading data science and AI strategy teams at organizations such as VSP and Accenture. Her contributions to the field have earned her recognition as one of DataIQ’s Top 100 Most Influential People in Data & AI (2025 & 2024) and Dataleum’s Top 30 Women in AI (2022)
Sadie actively contributes to national initiatives as a member of the White House Council for Data and AI Training and the OpenAI Research Community. Her passion for education has driven her to train over 700,000 individuals through data science and AI courses at UC Davis, Coursera, and LinkedIn Learning.
Tony Kipkemboi
Tony Kipkemboi is the Founding Senior Developer Relations Engineer at CrewAI, where he empowers enterprises and developers to design, deploy, and scale advanced AI agent systems. With a background spanning developer relations, data engineering, and enterprise AI adoption, Tony leverages deep technical expertise to translate complex AI concepts into practical, actionable strategies for diverse audiences. Prior to CrewAI, Tony served as a Developer Advocate for Streamlit at Snowflake, and held roles in data engineering at Booz Allen Hamilton and Bloomberg. A U.S. Army veteran and genomics research assistant, he attended the University of Pennsylvaniafor Master’s in Computer and Information Technology. Tony is a frequent speaker at leading conferences, an open-source contributor, and an advocate for bridging the gap between innovative AI technology and real-world enterprise outcomes.