While agentic AI is transforming industries, its potential for social impact is only beginning to be realized. In this case study session, we spotlight how nonprofits are harnessing autonomous agents to amplify their missions — from optimizing resource allocation to automating outreach, improving accessibility, and scaling operations with limited budgets.
Hear from the founder and president of "Code for Good" how the nonprofit world can benefit from the agentic AI revolution and amplify the work for good. We’ll explore how nonprofit organization "Code for Good" successfully implemented agentic AI to overcome capacity constraints and drive measurable impact in the communities they serve. The session will highlight key design choices, lessons learned, and the unique challenges of applying AI in mission-driven contexts where trust, transparency, and accountability are paramount.
Attendees will leave with practical insights into how nonprofits can responsibly integrate agentic systems to do more good, with less overhead.
Join an interactive boardroom* on a preselected topic and discuss with a small group of your peers your biggest initiatives, challenges, and most effective strategies and tools.
1.ROUNDTABLE: Tackling Common Challenges When Starting Out With Agentic AI
Shakeel, Hye, Director of Data Engineering, TracFone Wireless
Gartner predicts that 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value or inadequate risk controls. How do you ensure it’s not yours? Join this roundtable to discuss with your peers how to find the right use case that will give you the head start to show value. Learn how others navigate challenges with data quality, governance, ethics, skillsets and resources, and discuss how to account for computing and storage cost from day one and know when to cap. Walk away with best practices for change management, to help get buy-in, navigate fear, and drive a mindset shift towards openness and experimentation.
2.ROUNDTABLE: Using Agentic AI to Advance and Accelerate Innovation
Dr. Melvin, Greer, Intel Fellow and Chief Data Scientist, Intel Corporation
Agentic AI is not just a tool for efficiency — it's a catalyst for reimagining what’s possible. This roundtable invites participants to explore how autonomous agents are helping organizations push boundaries, unlock new capabilities, and accelerate innovation across industries. In this highly interactive session, we’ll assess the bold, experimental, and transformative use cases attendees are developing — from automating complex workflows to enabling new forms of creativity, decision-making, and problem-solving. Together, we’ll explore how agentic AI is reshaping the innovation process itself, turning moonshots into roadmaps. Whether you're testing the edges of what AI can do or just beginning to think beyond incremental gains, this conversation is designed to spark new ideas, surface shared challenges, and connect innovators who are rethinking the future with agents at the center.
Other topics may include
3.ROUNDTABLE: How to Safely Use AI: Protecting Consumer and Company Data in an Agentic Era
As AI systems become more embedded in day-to-day operations, ensuring their safe and responsible use is no longer optional — it’s essential. This roundtable explores practical strategies and guardrails for using AI securely, with a focus on protecting both consumer data and your own proprietary information in an era of increasingly autonomous agents.
Join us for a candid discussion on how to evaluate risks, set boundaries, and maintain trust while leveraging agentic AI. We’ll cover real-world cases, common pitfalls, and emerging best practices that can help your organization use AI with confidence and care.
4.ROUNDTABLE: Understanding the Need For Manual Interventions: The A to Z of Training and Retraining Agents
As autonomous agents become increasingly capable, the myth of “set it and forget it” continues to be challenged by the practical realities of training and retraining these systems. Building AI agents is only half the battle. This roundtable dives deep into the lifecycle of agentic AI, focusing on the critical — and often underestimated — role of human oversight and manual intervention. From the early stages of dataset curation and objective definition, to mid-lifecycle adjustments and post-deployment retraining, we will explore how, when, and why humans must step in. We’ll discuss real-world examples where intervention saved agents from drift or misalignment, and unpack best practices for building feedback loops that combine scalability with accountability. Join the discussion to move from taking risks to taking calculated risks.
5.ROUNDTABLE: Do’s and Dont’s For Using Open Source
Open source has become a cornerstone of rapid innovation in agentic AI — enabling faster development, broader collaboration, and more accessible experimentation. But with this power comes a complex set of responsibilities and risks. This roundtable will unpack the critical do’s and don’ts of leveraging open-source tools, models, and datasets when building autonomous agents. Join a candid conversation with AI practitioners as we explore how to evaluate open-source licenses, ensure responsible integration, avoid hidden liabilities, and contribute back ethically. We’ll cover real-world lessons from teams that have built on open-source foundations — and the mistakes they learned the hard way. This session will help you navigate the open-source landscape confidently and responsibly.
6.ROUNDTABLE: Agentic AI’s Impact on Jobs from Job Cutting to Job Augmentation
As agentic AI reshapes the workplace, one question looms large: What happens to the jobs? While headlines often focus on job cuts, the deeper story is more complex — and more important. This roundtable focuses on the evolving relationship between agentic AI and employment. We'll explore how jobs are changing not only due to automation, but also because the cost of effectively utilizing AI is rising — creating a shift in which roles are needed, what skills are in demand, and how teams must be trained to adopt AI agents and agentic AI. Some roles are being phased out, others are being transformed, and entirely new categories of work are emerging around AI oversight, orchestration, and human-agent collaboration.
Join us for a forward-looking conversation on what’s going away, what’s coming up, and how organizations can prepare their people to not just survive — but thrive — in the age of agentic AI.
*practitioners only