David Sztykman on Streaming Data, AI, and the Future of Real-Time Observability | Ep 1178

The Digital Executive

In this episode of The Digital Executive, host Brian Thomas sits down with David Sztyman, Chief Architect at Hydrolix, to explore how real-time streaming data and AI are reshaping observability and security operations. Drawing on two decades of experience across streaming, caching, security, and analytics, David explains why scale remains a constant challenge—and why traditional data warehouses can’t keep up with today’s real-time demands.

The conversation dives into the critical role of streaming data architectures in detecting issues as they happen, from video performance problems to active security threats like DDoS attacks. David also shares a pragmatic approach to AI, emphasizing how teams can use machine learning and LLMs selectively to detect anomalies without driving up costs. Looking ahead, he discusses the rise of AI agents, automated remediation, and natural-language access to data—capabilities that will make observability and security insights accessible to far more people across the enterprise.

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In this episode of The Digital Executive, host Brian Thomas sits down with David Sztyman, Chief Architect at Hydrolix, to explore how real-time streaming data and AI are reshaping observability and security operations. Drawing on two decades of experience across streaming, caching, security, and analytics, David explains why scale remains a constant challenge—and why traditional data warehouses can’t keep up with today’s real-time demands.

The conversation dives into the critical role of streaming data architectures in detecting issues as they happen, from video performance problems to active security threats like DDoS attacks. David also shares a pragmatic approach to AI, emphasizing how teams can use machine learning and LLMs selectively to detect anomalies without driving up costs. Looking ahead, he discusses the rise of AI agents, automated remediation, and natural-language access to data—capabilities that will make observability and security insights accessible to far more people across the enterprise.

If you liked what you heard today, please leave us a review - Apple or Spotify

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Learn more about your ad choices. Visit megaphone.fm/adchoices

2026-01-07 12 min
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