Data to AI Journey – a conversation with Microsoft

Realising the full potential of AI is atop everyone’s priorities. But many companies get stuck in the initial AI adoption, facing challenges with data quality, ethical considerations, and achieving tangible ROI. 

Join us as we speak with Adarsh Janakiraman, ML Specialist from Microsoft's AI Global Black Belt Team, gaining practical advice on navigating the challenges of AI implementation, building ethical AI systems, and real-world examples that will help you navigate your AI journey.

Uncover the:

• Current State of AI Adoption: Challenges of moving beyond Proof-of-Concept (PoC) stages, ensuring data quality, and demonstrating a clear return on investment (ROI).
• Considerations for Building Ethical AI: Strategies for responsible AI development and deployment
• Common AI Implementation Pain Points and a 5-Step Data-to-AI Framework: A practical roadmap for successful AI transformation.
• Real-World Success Stories & Future Trends: Learning from companies achieving significant business outcomes with Data & AI, and the emerging trends that you need to look out for.