Part 9/13:
Gita echoed this, emphasizing that her organization employs a "democratized" AI approach, with flexible governance that balances innovation with compliance. She advocates for "champions" within teams who understand AI's potential and support data initiatives across different domains.
Building a Roadmap: Prioritization and Change Management
Mazari highlighted that organizational buy-in hinges on demonstrating AI's value through quick wins aligned with strategic KPIs. She advises identifying high-impact use cases first—such as predictive maintenance—to gain momentum and "show the art of the possible." Training and skill development are key, especially given the fast pace of technological change, with continuous learning seen as vital to a sustainable AI journey.