AI Con USA 2025 - C-Level

Generative AI tools hold promise to increase human productivity.  In the world of software development, GitHub Copilot was one of the first practical applications of the use of generative AI to support developer productivity.  However, measuring software productivity is non-trivial.  For example, developer productivity gains is more than just producing code faster. If these artifacts don’t meet quality standards or themselves bring cost efficiency challenges then there may not be much overall improvement. To truly understand the benefits and challenges of AI-powered copilots requires real-...

We are moving from the world of reproducible data science (machine learning, area under the curve, a/b testing, model selection, model testing, model fitting and model drift to find the best way to run a data science organization) to being faced with the "Easy Button." This "Easy Button" is often wrong, has poor data protocols, and tries to please; without factual basis. Join Bob to explore ways to make the world better in the bridge from science to the new world of utterances. This session will include examples and experiences from IBM Watson, AI at GE Healthcare, AI at Microsoft, and...

Traditional leadership has relied on intuition, manual processes, and fragmented feedback loops. But what if AI could fundamentally reshape how we lead—creating inherent alignment, removing hierarchical bottlenecks, and enabling decentralized decision-making? Imagine an autonomous AI companion that analyzes patterns, prioritizes coaching needs, and adapts in real time to foster self-organization, continuous learning, and leadership at every level. In this session, we’ll explore how AI-driven leadership models can replace rigid hierarchies with dynamic, data-informed decision-making,...

As AI systems continue to transform industries, the EU AI Act sets a pivotal regulatory framework to ensure responsible and ethical use of artificial intelligence across Europe. This session will provide practical insights into navigating compliance with the EU AI Act, addressing key requirements for high-risk AI systems, transparency, accountability, and data governance. Joanna will explore how organizations can align their AI development processes with the Act's standards while maintaining innovation. Attendees will gain actionable strategies for integrating compliance into existing...

Leadership in AI/ML is as much about managing complexity as it is about fostering innovation. AI leaders must navigate a landscape where data science, engineering, and operational disciplines intersect. They frequently have to bridge the gap between research and production, balancing innovation with scalability, and fostering team collaboration. AI product and platform development is non-trivial and typically requires building prototypes, adapting and evolving them for production, while maintaining agility in an ever-changing field. Join Tariq King as he shares lessons learned from leading...