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Inspiring Tech Leaders

The Technology Podcast Series

How to Govern AI Agents in the Enterprise Without Slowing Innovation

AI Agent Governance

Do you know what AI Agents are running across your estate?

If the answer isn't a confident YES, then AI governance shouldn't be an afterthought, it should be your next strategic priority.

In this episode of the Inspiring Tech Leaders podcast, I look at how to govern AI agents in the Enterprise, without slowing innovation.

This podcast episode covers:
 
💡 You can't govern what you can't see. Implement consolidated discovery tools to scan across all clouds and create a single source of truth.
💡 Autonomous systems can't be legally or ethically accountable.  Every agent needs a designated human owner responsible for its performance and compliance.
💡 Stop paying for 3-4 different agents that do the same job. Use estate audits and visualisers to identify dormant or redundant assets and reinvest the savings into true innovation.

Stop guessing and start controlling your AI ecosystem.

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms


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Data Purging Dilemmas - Navigating the Global Datasphere and Data Retention Challenges

Data Management

In today's digital landscape, organisations are drowning in data while simultaneously being held accountable for how they manage it.  The latest episode of the Inspiring Tech Leaders podcast tackles this critical challenge head-on, exploring the complexities of data retention, archiving, and purging.

Did you know the global datasphere is expected to reach 175 zettabytes this year?  This exponential growth is forcing organisations to shift from a "keep everything forever" mentality to strategic data governance throughout the information lifecycle.

What struck me most was the hidden cost of data hoarding.  Beyond the obvious storage expenses, excessive data creates security vulnerabilities, slows systems, complicates e-discovery processes, and can actually increase compliance risks.  This podcast episode offers practical guidance on implementing effective archiving and purging strategies to mitigate these issues.

For those struggling with unstructured data (which typically accounts for 80-90% of all organisational data), the episode explores powerful tools like Microsoft Purview, Strac, BigID, and others that can help discover, classify, and manage this information at scale.

The future of data management clearly lies in AI-powered automation, evolving privacy regulations, cloud-based solutions, and sophisticated approaches to cross-border data governance.  Organisations that master these elements will not only ensure compliance but also reduce costs and extract more value from their information assets.

This episode is essential listening for CIOs, compliance officers, data protection specialists, and anyone responsible for organisational data strategy. What data management challenges is your organisation facing? I'd love to hear your thoughts in the comments.


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