Episode 23: Moving AI from pilot to production at scale
In this episode of the HCLTech Elevate Podcast series, Dr. Andy Packham is joined by industry experts Jeeva AKR (Microsoft) and Srini Kompella (HCLTech) to explore what it truly takes to move AI from proof of concept to production, delivering measurable business impact at scale.
The discussion goes beyond technology, focusing on the real-world challenges enterprises face when operationalising AI. The guests share insights from the last 18 months, highlighting the shift from small pilots and five-minute efficiencies to enterprise-wide AI adoption. They emphasise the importance of robust data foundations, integrated governance and the need to rewire business and IT processes to unlock genuine value.
Key topics include:
- The evolution from single agent to multi-agent AI systems and what this means for organizations.
- Why scaling AI is about empowering people, transforming processes and building a strong data estate, not just deploying models.
- The critical role of Microsoft Azure, HCLTech’s AI Foundry and the integration of tools like Fabric, Copilot and Purview in enabling reliable, governed and scalable AI.
- Lessons learned from stalled proof of concepts and how to shift focus towards proof of value using real-world data.
- Practical advice for leaders looking to accelerate AI adoption: measure what matters, prioritise data quality and never leave people behind.
Whether you’re a business leader, technologist or AI enthusiast, this episode offers actionable guidance and fresh perspectives on making AI a true operating system for your business.
Host and moderator:
Dr. Andy Packham, Chief Architect, Senior Vice President, Microsoft Ecosystem Unit, HCLTech
Speakers:
Srini Kompella, Global Head, Data and AI, Senior Vice President, HCLTech
Jeeva AKR, Global Leader, Azure Analytics – GTM Strategy and Sales, Microsoft
Click here to learn more about HCLTech and Microsoft Joint AI offerings, success stories and updates.
その他のポッドキャスト
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