Welcome to the Future of Generative AI
At Hexaware, we believe in empowering organizations to break barriers and embrace innovation. The journey to AI at Scale is filled with opportunities and challenges. And the Model Context Protocol (MCP) is proving to be the game-changing solution that bridges the gap between siloed systems, enabling Sustainable AI transformation across industries.
Join us for an inspiring discussion between two thought leaders, Mehdi Goodarzi, SVP and Global Head of GenAI Consulting at Hexaware, and Craig Brown, Director of Banking Technology at the European Bank for Reconstruction and Development (EBRD). Together, they explore real-world use cases, actionable strategies, and the transformative potential of MCP within the framework of Generative AI.
What to Expect
In this exclusive conversation, Mehdi and Craig reveal how MCP is reshaping the landscape of AI adoption. Here’s what you’ll discover:
- Mastering Context in Generative AI: Learn how MCP eliminates outdated references and misfires by providing real-time access to trusted data sources and systems.
- AI at Scale: Understand how MCP simplifies the integration of live and static data, empowering organizations to scale their AI initiatives with ease and accuracy.
- Sustainable AI Practices: Discover how AI can be a catalyst for innovation while adhering to stringent governance and compliance requirements like GDPR.
- Real-World Use Cases: From creating climate impact dashboards to automating complex workflows, see how MCP is driving transformative impacts in industries like finance and beyond.
- Collaborative Experimentation: Get actionable advice on overcoming cultural resistance, unlocking legacy data, and fostering collaboration for successful AI experimentation.
Experience the Journey Firsthand
Mehdi and Craig bring to life the promise of MCP with real-world examples, including EBRD’s success in leveraging AI to empower its teams and deliver results. Hear their candid perspectives on the challenges, risks, and opportunities of AI adoption—and why now is the time to experiment boldly with solutions like MCP.
Watch the Full Conversation Now.
