Operationalizing agentic AI: Strategies for production, governance, and control
November 12 at 11 am PT | 2pm ET
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There is a dramatic shift in enterprise AI strategy – agentic AI and AI agents have become the new investment priority, outpacing previous generative AI spending.
Despite growing enthusiasm, organizations face significant challenges. Building AI agents is easy, operationalizing them is the hard part. Complexity and control -- including security, data integration, and multi-agent coordination – are the main issues.
Join Informa Techtarget principal analyst and Domino to learn practical strategies for addressing the operational roadblocks of Agentic AI:
- Deconstruct the agentic paradigm: Understand autonomous systems, multi-agent models, and governance-first trends.
- Tackle complexity and control: Overcome challenges in system integration, orchestration, security, and AI ethics.
- Establish best practices: Gain insights on reducing technical roadblocks and lowering high implementation costs.
Build a managed agent system: Learn to monitor, manage, and evaluate agents for enterprise alignment and compliance.
Speakers
Dylan Storey
Senior director, data science services
I am a scientifically minded leader with a background that includes microbial food safety research and a genome science PhD. I enable companies to build and maintain organizations and platforms for the capture and organization of data so that they may make better decisions based on evidence. My data work experience has been focused on empowering data-driven decision making and expanding data capabilities through training, technology, and process improvement. I have built high-performing teams that consistently deliver the highest throughput without burnout or churn, and I emphasize leadership by example and with empathy. I spent nearly a decade leveraging high performance computing to analyze and manage large, complex data sets in my academic research. My professional interests include process and decision automation through machine learning and common sense, software development, data engineering/architecture, and reproducible research. I earned my PhD from University of Tennessee and completed both my BS and MS at Cal State Fresno.
Mark Beccue
Principal Analyst
Principal Analyst Mark Beccue is among a select group of pioneering analysts who started focusing on AI market research in 2015. He is recognized as one of the leading advisors and thought leaders in the fields of AI and generative AI market research. His expertise in AI use cases, applications/software and services, natural language AI, and broader trends surrounding AI market adoption have made him a well-known adviser and sought-after speaker, panel moderator, conference chair, and media resource who can develop and communicate AI market analysis designed for business audiences.