Beyond Center of Excellence: Operating Models for the Data-Driven Organization

When it comes to AI initiatives, everyone talks about building a so-called Center of Excellence. But what does that mean? Ultimately, the reality of operating models is much more complex. This webinar brought to you by Forrester and Dataiku is meant for data leaders and executives, and it will: - Delve into the three main operating models for AI initiatives (Decentralized, Hub & Spoke, and Centralized). - Discuss the pros and cons of each operating model as well as real-life examples of organizations that use each model (and why). - Uncover a framework of questions for understanding which model — or models — are best suited for your organization to get the most out of AI. About the Presenters: Mike Gualtieri Forrester VP, Principal Analyst Serving Application Development & Delivery Professionals Mike's research focuses on artificial intelligence (AI) technologies, platforms, and practices that enable technology professionals to deliver digital transformations that lead to prescient digital experiences and breakthrough operational efficiency. His key technology coverage areas are AI and emerging technologies that make software faster, smarter, and transformative for global enterprises and organizations. He advises enterprise decision makers and executive leaders around the world on the intersection of business strategy, AI, and digital transformation. Kurt Muehmel Dataiku Chief Customer Officer Kurt was formerly vice president of solutions engineering at Dataiku, where he built analytics and AI solutions for Fortune 100 companies worldwide and built its solutions engineering capability worldwide. Having worked with dozens of clients of all sizes and across a multitude of sectors, Kurt has developed a deep understanding of the challenges and opportunities for companies looking to increase the value they’re deriving from their data and increase the capabilities of the growing teams of data scientists, engineers, and analysts.