Erick Brethenoux

Erick Brethenoux

Distinguished VP Analyst
Erick Brethenoux is a Key Initiative leader in the AI team, responsible for managing the research agenda for AI. He specializes in machine learning, artificial intelligence and applied cognitive computing. Mr. Brethenoux guides organizations on the strategic, organizational and technology aspects of using advanced analytics as a driving force of their growth. In particular, his research focuses on the deployment of machine learning insights through integration with advanced analytics solutions, data science and next-generation, decision-making and management systems (decision intelligence).
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Monday, 19 September, 2022 / 04:15 PM - 04:45 PM IST
Adaptive Systems: The Next Stage of AI Solutions

The warped perception around “self-learning” systems leads to a misconception that AI systems necessarily learn over time, automatically because they are "intelligent". Failed implementations generate much frustration as systems cannot fulfill unreasonable expectations. However, this capability is critical for the future. To build resilient business processes and flexible decision models, organizations need to integrate into their AI solution blueprints' capabilities leading to adaptive systems.

Tuesday, 20 September, 2022 / 10:30 AM - 11:00 AM IST
What Data and Analytics Leaders Need to Do About Decision Thinking

Organizations are under pressure to make better business decisions, even as decisions become more complex. Data and analytics leaders must take the lead to apply decision models, ML, BI, optimization, business rules and other AI techniques for maximum benefit. Session includes:
• Trends in decision intelligence
• How to apply decision thinking
• The role of D&A in decision intelligence.

Tuesday, 20 September, 2022 / 03:30 PM - 04:15 PM IST
Ask the Expert: How to Operationalize AI and ML Projects — Key Considerations, Best Practices and Lessons Learned

Organizations often struggle with operationalizing ML and AI projects. In this session, we'll focus on the key considerations for operationalization, best practices from around the world and lessons learned from some case studies.

Join us to hear from Gartner experts and thought leaders.