Tech Talks Daily

What does it really mean when AI moves from answering questions to making decisions that affect real people, real money, and real outcomes? In this episode of Tech Talks Daily, I'm joined by Joe Kim, CEO of Druid AI, for a grounded conversation about why agentic AI is becoming the focus for enterprises that have moved beyond experimentation. After years of hype around generative tools, many organizations are now facing a tougher question. Can AI be trusted to take action inside core business processes, and can it do so with the accuracy, security, and accountability that enterprises expect? Joe brings a rare perspective shaped by decades leading large-scale enterprise software companies, including his time as CEO of Sumo Logic. He explains why Druid AI deliberately avoids positioning itself as a generative AI company, and instead focuses on systems that can make decisions, trigger workflows, and complete tasks inside regulated, high-stakes environments. We unpack why accuracy thresholds matter when AI touches billing, healthcare, admissions, or compliance, and why security and governance are no longer secondary concerns once AI is allowed to act. We also talk about scale and proof. Druid AI now supports over 120 million conversations every month, a figure that keeps climbing as enterprises move agentic systems into production. Joe shares how those conversations translate into measurable business outcomes, from operational efficiency to revenue growth, and why many AI initiatives fail to reach this stage. His "5 percent club" philosophy cuts through the noise, focusing on the small number of use cases that actually deliver return while most others stall in pilots. The conversation also explores why higher education has become a surprising pressure point for AI adoption, how outdated systems contribute to student churn, and how conversational agents can remove friction at moments that decide whether someone enrolls, stays, or leaves. We close by looking ahead at Druid AI's next chapter, including new platform capabilities designed to make building and deploying agents faster without sacrificing control. As more enterprises demand results instead of promises, are we ready to judge AI by the decisions it makes and the outcomes it delivers, and what should that accountability look like in your organization? I'd love to hear your thoughts. Where do you see agentic AI delivering real value today, and where do you think the risks still outweigh the rewards? What does it really mean when AI moves from answering questions to making decisions that affect real people, real money, and real outcomes? In this episode of Tech Talks Daily, I'm joined by Joe Kim, CEO of Druid AI, for a grounded conversation about why agentic AI is becoming the focus for enterprises that have moved beyond experimentation. After years of hype around generative tools, many organizations are now facing a tougher question. Can AI be trusted to take action inside core business processes, and can it do so with the accuracy, security, and accountability that enterprises expect? Joe brings a rare perspective shaped by decades leading large-scale enterprise software companies, including his time as CEO of Sumo Logic. He explains why Druid AI deliberately avoids positioning itself as a generative AI company, and instead focuses on systems that can make decisions, trigger workflows, and complete tasks inside regulated, high-stakes environments. We unpack why accuracy thresholds matter when AI touches billing, healthcare, admissions, or compliance, and why security and governance are no longer secondary concerns once AI is allowed to act. We also talk about scale and proof. Druid AI now supports over 120 million conversations every month, a figure that keeps climbing as enterprises move agentic systems into production. Joe shares how those conversations translate into measurable business outcomes, from operational efficiency to revenue growth, and why many AI initiatives fail to reach this stage. His "5 percent club" philosophy cuts through the noise, focusing on the small number of use cases that actually deliver return while most others stall in pilots. The conversation also explores why higher education has become a surprising pressure point for AI adoption, how outdated systems contribute to student churn, and how conversational agents can remove friction at moments that decide whether someone enrolls, stays, or leaves. We close by looking ahead at Druid AI's next chapter, including new platform capabilities designed to make building and deploying agents faster without sacrificing control. As more enterprises demand results instead of promises, are we ready to judge AI by the decisions it makes and the outcomes it delivers, and what should that accountability look like in your organization? I'd love to hear your thoughts. Where do you see agentic AI delivering real value today, and where do you think the risks still outweigh the rewards? Useful Links Connect with Joe Kim, CEO of Druid AI. Druid AI Website Tech Talks Daily is Sponsored by Denodo  

The world is building data centers, identity rails, and AI policy stacks at a speed that makes 2026 feel closer than it is. In this conversation, Rajesh Natarajan, Global Chief Technology Officer at Gorilla Technology Group, explains what it takes to engineer platforms that remain reliable, secure, and sovereign-ready for decades, especially when infrastructure must operate outside the safety net of constant cloud connectivity. Raj talks about quantum-safe networking as a current risk, not a future headline. Adversaries are capturing encrypted traffic today, betting on decrypting it later, and retrofitting quantum-safe architecture into national platforms mid-lifecycle is an expensive mistake waiting to happen. He also highlights the regional nature of AI infrastructure, Southeast Asia prioritizing sovereignty, speed, and efficiency, Europe leaning on regulation and telemetry, and the U.S. betting on raw cluster scale and throughput. Sustainability at Gorilla isn't a marketing headline, it's an engineering requirement. If a system can't prove its environmental impact using telemetry like workload-level PUE, it isn't labeled sustainable internally. Gorilla applies the same rigor to IoT insight per unit of energy, device lifecycles, and edge-level intelligence placement, minimizing data centralization without operational justification. This episode offers marketers, founders, and technology leaders a rare chance to understand what national-scale resilience looks like when platform alignment breaks first, not technology. Remembering that decisions must be reversible, explicit, and measurable is the foundation of how Gorilla is designing systems that can evolve without forcing rushed compromises when uncertainty becomes reality. Useful links: Connect with Dr Rajesh Natarajan Gorilla website Tech Talks Daily is Sponsored by Denodo  

What makes live events feel personal in an age of algorithms making the calls? That's the tension marketers are living in right now. Ben Kruger, Chief Marketing Officer at Event Tickets Center, sits at the center of this shift. He has spent 20 years shaping server-side systems and performance marketing strategies, including a decade of persistence chasing a role at Google before landing a position in New York just as eCommerce demand went into overdrive during the pandemic. Now, at ETC, he runs marketing for more than 130,000 live events simultaneously. It's a scale that forces automation to step in. The industry moves in real time, resellers update prices by the hour, artists trend globally overnight, weather can shift demand before a stadium gate opens. Ben credits Google's AI tools and internal models as a competitive advantage, but he also talks openly about the risks. The early excitement of automation gave way to skepticism after seeing unaligned promises from new platforms and unpredictable campaign behavior in tools that remove control from brands. There's a well-rounded argument to explore here. On one side, AI enables a small team to do the work of thousands, writing content at a volume no human team could deliver alone. On the other, removing risk from campaigns, or removing channel-level choices from advertisers, can reduce trust and increase low-quality creative output. Advantage+ tools that make placement decisions automatically, without brand input, might scale reach, but can reduce clarity of intent and control of outcomes. Some CMOs see that as smart acceleration, others see it as an overcorrection that creates opacity and dependency on platforms optimizing for their own incentives. And somewhere in the middle is the opportunity. ETC's approach shows a future where repetition in rapid testing generates sharper insight, where lean teams move faster, where humans stay in the loop to validate outcomes, and where creativity stays grounded in audience understanding, economics, and transparency. Marketers listening to Ben will hear someone who wants experimentation, control, clarity, and long-term audience trust to exist side by side. Useful links: Connect with Ben Kruger on LinkedIn  Event Tickets Center website Tech Talks Daily is Sponsored by Denodo

What does it really take to build software that can grow from a single line of code to millions of users a day without losing its soul along the way? In this episode of Tech Talks Daily, I'm joined by Alex Gusev, CTO at Uploadcare, for a wide-ranging conversation about scale, simplicity, and why leadership in technology starts with people long before it gets anywhere near frameworks or tooling. Alex has spent two decades building server-side systems, often inside small teams, and has seen firsthand how early decisions echo through a company's future, for better and for worse. We talk openly about the realities of early-stage engineering, including why shipping imperfect code is often the only way to survive, how technical debt should be taken on deliberately rather than by accident, and why knowing when to slow down and clean things up is one of the hardest leadership calls to make. Alex shares his belief that simplicity is the strongest ally in high-load environments, and how over-engineering, often inspired by copying the playbooks of much larger companies, creates fragility instead of strength. Our conversation also digs into his continued faith in Ruby on Rails, a framework that divides opinion but still plays a central role in many successful products. Alex reframes the debate around speed, focusing less on raw performance metrics and more on how quickly teams can build, adapt, and maintain systems over time. It's a practical view shaped by real-world trade-offs rather than theory. Beyond code, we explore why Alex puts people ahead of technology and process, and how creating psychological safety inside teams leads to better decisions, lower churn, and smarter use of limited resources. He also reflects on personal experiences that reshaped his approach to leadership, the growing tech scene in Kyrgyzstan, and why he finds as much inspiration in Dostoevsky as he does in engineering blogs. If you've ever questioned whether modern engineering culture has overcomplicated itself, or wondered how to balance ambition with sustainability as your product grows, this episode offers plenty to think about. Where do you think your own team is adding complexity without realizing it, and what might change if you started with people first? Useful Links Connect with Alex Gusev Learn more about Uploadcare Tech Talks Daily is sponsored by Denodo

If you have ever opened Candy Crush over the holidays without thinking about the design decisions behind every swipe, this episode offers a rare look behind the curtain.  I sit down with Abigail Rindo, Head of Creative at King, to unpack how accessibility has evolved from a well-meaning afterthought into a core creative and commercial practice inside one of the world's most recognizable gaming studios.  With more than 200 million people playing King's games each month, Abigail explains why inclusive design cannot be treated as charity or compliance, but as a responsibility that directly shapes product quality, player loyalty, and long-term growth. One of the moments that really stayed with me in this conversation is the data. More than a quarter of King's global player base self identifies as having an accessibility need. Even more players benefit from accessibility features without ever labeling themselves that way. Abigail shares how adjustments like customizable audio for tinnitus, reduced flashing to limit eye strain, and subtle interaction changes can quietly transform everyday play for millions of people. These are not edge cases. They are everyday realities for a massive audience that lives with these games as part of their daily routine. We also dig into how inclusive design sparks better creativity rather than limiting it. Abigail walks me through updates to Candy Crush Soda Saga, including the "hold and drag" mechanic that allows players to preview a move before committing. Inspired by the logic of holding a chess piece before placing it, this feature emerged directly from player research around visibility, dexterity, and comfort. It is a reminder that creative constraints, when grounded in real human needs, often lead to smarter and more elegant solutions. Beyond mechanics and metrics, this conversation goes deeper into storytelling, empathy, and team culture. Abigail explains why inclusive design only works when inclusive teams are involved from the start, and how global storytelling choices help King design worlds that resonate everywhere from Stockholm to Antarctica. We also talk about live service realities, blending quantitative data about what players do with qualitative insight into why they do it, especially when a game has been evolving for more than a decade.