Redpanda CEO on Why Streaming Data Powers the Future of Agentic AI
Release Date: 05/09/2026
Tech Talks Daily
At Google Cloud Next in Las Vegas, I sat down with Granville Valentine to talk about one of the biggest shifts happening in business technology right now, the move from isolated AI experiments to orchestrated, production-scale agentic systems. Granville leads Google Cloud’s AI Go-to-Market organization across North America, working directly with major enterprises on adopting Gemini, customer experience AI, and multi-agent workflows. That puts him right at the center of how businesses are actually deploying AI in the real world, and where many are still getting stuck. In this conversation, we...
info_outlineTech Talks Daily
What happens when AI growth collides with the physical limits of power, materials, and global supply chains? In this episode of Tech Talks Daily, I speak with Matt Kelly, CTO and Vice President of Technology and Standards at the Global Electronics Association, about the growing pressure on AI infrastructure and the supply chains that support it. Drawing on insights from thousands of member organizations across manufacturing, automotive, and electronics, Matt offers a practical look at what business and technology leaders should really be preparing for in 2026 and beyond. Our conversation...
info_outlineTech Talks Daily
What happens when the pace of AI innovation collides with the realities of semiconductor development? In this episode of Tech Talks Daily, I speak with Faraj Aalaei, CEO of Cognichip and a semiconductor industry veteran with more than 25 years of experience spanning engineering, venture capital, and two successful IPOs. Faraj joins me to discuss why the future of artificial intelligence may depend on radically rethinking how chips are designed, manufactured, and scaled. Cognichip recently emerged from stealth with $33 million in seed funding and a bold ambition to create the world’s first...
info_outlineTech Talks Daily
What happens when a country moves from cash-only transactions to instant digital payments that work for everyone? In this episode of Tech Talks Daily, I sit down with Steve Haley, Director of Market Development at The Mojaloop Foundation, to discuss how open and interoperable payment systems are helping reshape financial inclusion across Africa and other emerging markets. For many listeners in Europe or North America, instant payments and digital banking are often taken for granted. But Steve explains how millions of people around the world still live in economies where cash dominates daily...
info_outlineTech Talks Daily
How do AI agents safely access the data they need without exposing the business to risk? In this episode, I speak with Alex Gallego, CEO and founder of Redpanda, about why streaming data is becoming such an important foundation for enterprise AI. Redpanda began as a high-performance streaming data platform, but the company is now building what it calls the Agentic Data Plane, a governed access layer designed to connect AI agents with enterprise data and systems. Alex shares the story behind Redpanda’s journey, from solving a personal engineering frustration to powering mission-grade systems...
info_outlineTech Talks Daily
What happens when AI moves beyond experimentation and becomes part of the creative process itself? At Google Cloud Next in Las Vegas, I sat down with Albert Lai to explore how AI is transforming the media and entertainment industry from content creation and production to personalization, localization, and audience engagement. Albert works across Google Cloud, Google, and the wider Alphabet ecosystem to help media organizations rethink how they create and distribute content using cloud infrastructure, multimodal AI, and agentic workflows. And one thing became very clear in this conversation,...
info_outlineTech Talks Daily
What does real ROI from AI and analytics actually look like in the fast-food industry? At SAS Innovate, I sat down with David Gardner, Senior Director of Analytics at Boddie-Noell Enterprises, the largest franchise operator of Hardee's in the United States, to explore how a 60-year-old family business is transforming itself through data, forecasting, and AI. This is a company processing around 40 million transactional records every single day across more than 300 restaurants, where even shaving a few seconds off a drive-thru experience can have a measurable impact on customer satisfaction and...
info_outlineTech Talks Daily
What happens when the excitement around AI collides with the reality of deploying it inside a business? At SAS Innovate, that question came up repeatedly, and in this episode, I sit down with Manisha Khanna, global product marketing lead for AI at SAS, to unpack why so many organizations are still struggling to move from AI pilots to meaningful business outcomes. While headlines continue to celebrate the rapid rise of generative AI and agentic systems, Manisha brings a far more practical perspective shaped by working directly with enterprises trying to operationalize AI at scale. One of the...
info_outlineTech Talks Daily
What happens when cybercrime becomes as easy to access as a subscription service, and what does that mean for every business connected to the internet today? In this episode, I sit down with SentinelOne AI and Cloud Security Evangelist Chris Hosking to unpack a shift that feels both inevitable and deeply unsettling. The rise of what Chris describes as an AI threat market is changing the rules of engagement. Cybercrime is no longer limited to highly skilled operators working in isolation. Instead, it has evolved into a thriving ecosystem where tools, services, and even AI-powered attack kits...
info_outlineTech Talks Daily
What happens when the race to deploy AI starts to outpace the ability to control it? In this episode of Tech Talks Daily, I sit down with Ken Englund from EY to unpack findings from the latest 2026 Technology Pulse Poll, and the conversation quickly moves beyond theory into something many leaders will recognize from their own organizations. There is a growing tension between speed and oversight, a “velocity paradox” Ken describes, in which businesses are accelerating AI adoption while governance struggles to keep up. The numbers behind that story are hard to ignore. A large majority of...
info_outlineHow do AI agents safely access the data they need without exposing the business to risk?
In this episode, I speak with Alex Gallego, CEO and founder of Redpanda, about why streaming data is becoming such an important foundation for enterprise AI. Redpanda began as a high-performance streaming data platform, but the company is now building what it calls the Agentic Data Plane, a governed access layer designed to connect AI agents with enterprise data and systems.
Alex shares the story behind Redpanda’s journey, from solving a personal engineering frustration to powering mission-grade systems for some of the world’s largest organizations. We discuss why many enterprises are racing toward agentic AI while still lacking the permissions, controls, context, and observability needed to make agents safe in production.
One of the standout moments in our conversation is Alex’s comparison between hiring AI agents and forgetting to onboard them. Businesses are deploying accounting agents, coding agents, customer success agents, and security agents, yet many still lack a reliable way to decide what those agents can access, what actions they can take, and how to prove what happened when something goes wrong.
We also talk about explainability, agent transcripts, and why enterprises need a full record of agent behavior across complex chains of activity. Alex explains how this matters in regulated sectors such as banking, where organizations may need to prove that an AI agent is acting helpfully and responsibly, and in manufacturing, where a faulty agent action could affect months of production.
Alex also shares Redpanda’s work with NVIDIA Vera, where benchmarks showed 5.5 times lower latency and 73% higher throughput. For business leaders, that means faster systems, lower costs, better customer experiences, and the ability to monitor agent behavior in real time.
This conversation is a practical look at what enterprise AI needs next.
Speed matters, but governance, trust, and control may decide which companies can move AI agents from experiments into real operations. So, are we ready to give AI agents access to the enterprise, or do we first need to learn how to manage them like part of the workforce?
Please check the partners of the Tech Tech Talks Network
- Learn more about the NordLayer Browser
- Visit Denodo.com