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What does boiling pasta have to do with a conversation on AI and security?

In this episode of Exchanges, host Ginny Lebeck is joined by guests Dr. Michael Green, Principal Consultant for Hitachi Solutions Empower Data Platform, and Alex Rigaud, VP of Incubation Solutions, live from Microsoft Ignite in San Francisco, to discuss the future of security in the age of AI.

In this episode, you’ll hear from Michael and Alex as they discuss:

• How organizations are embedding AI at every layer and rethinking security as a core function
• How the era of AI agents and Co-workers is changing the way organizations approach threats and data governance
• Why organizations should be asking “where to AI?” as it relates to their data and workflows
• Why observability, security, and governance require a new level of maturity in automated environments
• And more!

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global.hitachi-solutions.com

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What does a case for a cell phone have to do with a conversation on security?

In this episode of Exchanges, host Hannah Story is joined by guests Peter Garadis and Matt Aghedo, to discuss security in the era of AI in financial services.

In this episode, you’ll hear from Peter and Matt as they discuss:

• How organizations are rethinking security as a function within their organization
• How the Era of AI has changed the way organizations think about threats
• Why organizations should be asking “where to AI?” as it relates to their data
• Why Identify Access Management (IAM) and governance require a new level of maturity
• And more!

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The conversation begins with a sobering statistic from an MIT report: 95% of generative AI pilots fail to deliver measurable impact on P&L. But as Stuart points out, that doesn’t mean they’re worthless. Many projects drive internal process improvements, enhance compliance, and streamline operations—benefits that don’t always show up on a balance sheet but are critical to business success.

This discussion highlights a recurring theme: back-office automation consistently delivers higher ROI than customer-facing AI. Internal processes are well-documented and easier to optimize, while public-facing AI carries reputational risks. Stuart shares examples of chatbots behaving badly on social media, underscoring the importance of starting with internal use cases.
Key Takeaways:

• Most AI pilots fail to impact P&L—but still deliver internal value.
• Data readiness is essential; clean, structured data is the foundation.
• Back-office automation offers higher ROI and lower risk than customer-facing AI.
• Targeted, repeatable solutions outperform one-off proofs of concept.
• Avoid vendor lock-in by deploying in customer tenants and delivering code.
• Success lies in purposeful design, tailored agents, and a steady approach to innovation.
  
  

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