Growing a culture of Data- and AI-driven decision-making is a priority for many large companies. However, despite the hype, most organizations are in reality struggling to scale beyond point successes.

Based on client work and innovation experience with some of the most ambitious organizations worldwide, Paul Debjyoti has had firsthand experience in distilling some of the critical success factors.

Companies are typically beset with challenges arising from:

1. Inflexibility and data silos
2. Continuously evolving Data quality issues
3. Slow pace of value discovery and scaling
4. Slow adoption

In this webcast, he will lay out a strategic roadmap to break these shackles. Two key steps are to adopt the ‘Data Mesh’ architecture and an intentional change to incubate a pervading AI-led culture that drives self-sustaining use case discovery and adoption.  

 Key learnings:

• Consider Data Mesh as an architectural design option
• Address the organizational culture in a structured step-by-step model to support this transformation
• Avoid common pitfalls like launching mega IT (information technology) programs without clarity on business use cases and a coherent strategy beyond a few use cases