Autonomous AI Agents in the Enterprise: Hype vs Reality
What happens when customer service becomes increasingly autonomous? Pranay Jain joins Christina Stathopoulos to explore where AI can improve the customer journey.
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For years, I've watched IT security professionals cling to outdated defensive strategies. They're building digital fortresses while the world has already moved to a completely distributed model of work and technology.
EM360Tech unpacks the role of data pipelines in scaling enterprise systems and accelerating decision-making.
Enterprise automation has changed significantly over the past 16 years. Explore the biggest shifts shaping EMA’s Automation Radar and what they mean for modern organisations.
Unauthorised apps, devices and cloud services create security, compliance and visibility gaps. Learn how organisations can manage shadow IT without limiting productivity.
Highlight how observability tools helps teams to predict, prevent, and resolve infrastructure issues before they impact users.
Understand how technical debt and poor data quality quietly undermine AI systems, increasing costs, reducing accuracy and limiting long-term business value.
Look, I'll cut straight to it—quantum computers are about to demolish every piece of encryption protecting your business. We're talking 5-10 years max before RSA becomes as useful as a screen door on a submarine.
Modern data architectures enhance customer interactions and drive business benefits. My discussion with Soren Marklund, Vice President of Global Services and AI Data Strategy at Ericsson, covers the importance of a unified data operating model and the role of AI in improving customer service.
Mark Zuckerberg’s Meta is pulling out all the stops to recruit the brightest minds in artificial intelligence.
EM360Tech explores how ETL continues to shape modern enterprise data strategy — and what leaders need to know as architecture demands evolve.
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