Arvind Rajan

Chief Executive Officer

Tag

AI Agents

Tag

GenAI

Tag

Oracle AI

Tag

Enterprise AI

Tag

AI Strategy

From AI Hype to AI ROI: How Enterprises Can Build Real Value with Agents

A practical, executive-level conversation on how organizations can structure, govern, and scale AI—starting today.

Date
January 06, 2026
Time
17:50

Episode 01

Guest Speaker

Anup Ojah
Anup Ojah

Global HPC & AI - Leader, Cloud Engineering, Oracle

AI adoption is accelerating—but many enterprises are still stuck between ambition and execution. Leaders feel the pressure to “do something with AI,” yet struggle to translate that urgency into meaningful business outcomes.

In this episode of the AI Driven Enterprise Podcast, host Arvind Rajan sits down with Anup Ojha, a thought leader from Oracle’s Cloud AI Center of Excellence, to unpack what successful AI transformation really looks like inside large organizations. Drawing from years of customer conversations and hands-on experimentation, Anup shares how leadership mindset, clear frameworks, and trusted data are far more critical than chasing the latest AI trend.

The discussion introduces a practical six-agent framework—from business task agents and conversational AI to deep research and analytics agents—helping enterprises align AI initiatives directly to business value. The episode also explores how AI-driven “strategy days,” live demos, governance councils, and ROI-focused pilots are shaping the next phase of enterprise AI adoption.

Whether you’re just getting started or already experimenting with GenAI and agents, this episode provides a grounded roadmap for moving from curiosity to impact.

Episode Number: 01

17:50

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Top 10 Podcast Highlights / Takeaways

1. AI success starts with a leadership mindset, not technical expertise.

Executives don’t need to “speak AI”—they need to think AI-first.

2. Most enterprises are overwhelmed by AI noise.

Clear frameworks help cut through hype from hyperscalers and vendors.

3. AI should always be tied to ROI.

If it doesn’t solve a business problem, it’s just a shiny object.

4. A six-agent framework simplifies AI adoption.

Business tasks, conversational, research, analytics, domain-specific, and developer agents cover most use cases.

5. Trusted data is the foundation of effective AI agents.

Especially for deep research and analytics-driven insights.

6. AI-driven strategy days are becoming common.

Enterprises want focused sessions to understand AI strategy, demos, and next steps.

7. Live demos accelerate understanding and buy-in.

Seeing agents in action sparks practical ideas across finance, operations, and customer support.

8. Most organizations are early or mid-journey.

Very few are truly mature in agentic AI adoption.

9. The AI skills gap is real—and growing.

Self-learning, partner ecosystems, and internal AI councils are key solutions.

10. BI tools, as we know them, may fade away.

AI-driven, self-service analytics will soon be available to every business user.