Tech Talks Daily

What actually happens when a company loses control of its own voice in a world full of channels, platforms, and constant noise?
In this episode of Tech Talks Daily, I sat down with Joshua Altman, founder of beltway.media, to unpack what corporate communication really means in 2026 and why it has quietly become one of the most misunderstood leadership functions inside modern organizations. Joshua describes his work as a fractional chief communications officer, a role that sits above individual campaigns, tools, or channels and focuses instead on perception, trust, and consistency across everything a company says and does.
Our conversation starts by challenging the assumption that communication is something you "turn on" when a product launches or a crisis hits. Joshua explains why corporate communication is not project-based and not owned by marketing alone. It touches internal updates, investor messaging, brand signals, packaging, email, social platforms, and even the tools teams choose to use every day. If it communicates with internal or external audiences and shapes how the company is perceived, it belongs in the communications function. When that function is missing or fragmented, confusion and noise tend to fill the gap.
We also explored why communication has arguably become harder, not easier, despite the explosion of collaboration tools. Email was meant to simplify work, then Slack was meant to replace email, and now AI assistants are transcribing every meeting and surfacing more content than anyone can realistically process. Joshua makes a strong case for simplicity, clarity, and focus, arguing that organizations need to pick channels intentionally and use them well rather than spreading messages everywhere and hoping something lands.
Technology naturally plays a big role in the discussion. From the shift away from tape-based media and physical workflows to the accessibility of live global collaboration and affordable computing power, Joshua reflects on how dramatically the workplace has changed since he started his career in video news production. He also shares a grounded view on AI, where it adds real value in speeding up research and reducing busywork, and where human judgment and storytelling still matter most.
Toward the end of the conversation, we get into ROI, a question every leader eventually asks. Joshua offers a practical way to think about it, starting with the simple fact that founders, operators, and technical leaders get time back when they no longer have to manage communications themselves. From there, alignment, clarity, and consistency compound over time, even if the impact is not always visible in a single metric.
As organizations look ahead and try to make sense of AI, platform shifts, and ever-shorter attention spans, are we investing enough thought into how our companies actually communicate, or are we still mistaking volume for clarity?
Useful Links
Connect with Joshua Altman
Learn more about beltway.media
Thanks to our sponsors, Alcor, for supporting the show.

What if your AI systems could explain why something will happen before it does, rather than simply reacting after the damage is done?
In this episode of Tech Talks Daily, I sat down with Zubair Magrey, co-founder and CEO of Ergodic AI, to unpack a different way of thinking about artificial intelligence, one that focuses on understanding how complex systems actually behave. Zubair's journey begins in aerospace engineering at Rolls-Royce, moves through a decade of large-scale enterprise AI programs at Accenture, and ultimately leads to building Ergodic, a company developing what he describes as world models for enterprise decision making.
World models are often mentioned in research circles, but rarely explained in a way that business leaders can connect to real operational decisions. In our conversation, Zubair breaks that gap down clearly. Instead of training AI to spot patterns in past data and assume the future will look the same, world-model AI focuses on cause and effect. It builds a structured representation of how an organization works, how different parts interact, and how actions ripple through the system over time. The result is an AI approach that can simulate outcomes, test scenarios, and help teams understand the consequences of decisions before they commit to them.
We explored why this matters so much as organizations move toward agentic AI, where systems are expected to recommend or even execute actions autonomously. Without an understanding of constraints, dependencies, and system dynamics, those agents can easily produce confident but unrealistic recommendations. Zubair explains how Ergodic uses ideas from physics and system theory to respect real-world limits like capacity, time, inventory, and causality, and why ignoring those principles leads to fragile AI deployments that struggle under pressure.
The conversation also gets practical. Zubair shares how world-model simulations are being used in supply chain, manufacturing, automotive, and CPG environments to detect early risks, anticipate disruptions, and evaluate trade-offs before problems cascade across customers and regions. We discuss why waiting for perfect data often stalls AI adoption, how Ergodic's data-agnostic approach works alongside existing systems, and what it takes to deliver ROI that teams actually trust and use.
Finally, we step back and look at the organizational side of AI adoption. As AI becomes embedded into daily workflows, cultural change, experimentation, and trust become just as important as models and metrics. Zubair offers a grounded view on how leaders can prepare their teams for faster cycles of change without losing confidence or control.
As enterprises look ahead to a future shaped by autonomous systems and real-time decision making, are we building AI that truly understands how our organizations work, or are we still guessing based on the past, and what would it take to change that?
Useful Links
Connect with Zubair Magrey
Learn more about Ergodic AI
Thanks to our sponsors, Alcor, for supporting the show.

What does it actually take to build trust with developers when your product sits quietly inside thousands of other products, often invisible to the people using it every day?
In this episode of Tech Talks Daily, I sat down with Ondřej Chrastina, Developer Relations at CKEditor, to unpack a career shaped by hands-on experience, curiosity, and a deep respect for developer time. Ondřej's story starts in QA and software testing, moves through development and platform work, and eventually lands in developer relations. What makes his perspective compelling is that none of these roles felt disconnected. Each one sharpened his understanding of real developer friction, the kind you only notice when you have lived with a product day in and day out.
We talked about what changes when you move from monolithic platforms to API-first services, and why developer relations looks very different depending on whether your audience is an application developer, a data engineer, or an integrator working under tight delivery pressure. Ondřej shared how his time at Kentico, Kontent.ai, and Ataccama shaped his approach to tooling, documentation, and examples. For him, theory rarely lands. Showing something that works, even in a small or imperfect way, tends to earn attention and respect far faster.
At CKEditor, that thinking becomes even more interesting. The editor is everywhere, yet rarely recognized. It lives inside SaaS platforms, internal tools, CRMs, and content systems, quietly doing its job. We explored how developer experience matters even more when the product itself fades into the background, and why long-term maintenance, support, and predictability often outweigh short-term feature excitement. Ondřej also explained why building instead of buying an editor is rarely as simple as teams expect, especially when standards, security, and future updates enter the picture.
We also got into the human side of developer relations. Balancing credibility with business goals, staying useful rather than loud, and acting as a bridge between engineering, product, marketing, and the outside world. Ondřej was refreshingly honest about the role ego can play, and why staying close to real usage is the fastest way to keep yourself grounded.
If you care about developer experience, internal tooling, or how invisible infrastructure shapes modern software, this conversation offers plenty to reflect on. What have you seen work, or fail, when it comes to earning developer trust, and where do you think developer relations still get misunderstood?
Useful Links
Connect with Ondrej Chrastina
Learn more about CK Editor
Thanks to our sponsors, Alcor, for supporting the show.

If artificial intelligence is meant to earn trust anywhere, should banking be the place where it proves itself first?
In this episode of Tech Talks Daily, I'm joined by Ravi Nemalikanti, Chief Product and Technology Officer at Abrigo, for a grounded conversation about what responsible AI actually looks like when the consequences are real.
Abrigo works with more than 2,500 banks and credit unions across the United States, many of them community institutions where every decision affects local businesses, families, and entire regional economies. That reality makes this discussion feel refreshingly practical rather than theoretical.
We talk about why financial services has become one of the toughest proving grounds for AI, and why that is a good thing. Ravi explains why concepts like transparency, explainability, and auditability are not optional add-ons in banking, but table stakes. From fraud detection and lending decisions to compliance and portfolio risk, every model has to stand up to regulatory, ethical, and operational scrutiny. A false positive or an opaque decision is not just a technical issue, it can damage trust, disrupt livelihoods, and undermine confidence in an institution.
A big focus of the conversation is how AI assistants are already changing day-to-day banking work, largely behind the scenes. Rather than flashy chatbots, Ravi describes assistants embedded directly into lending, anti-money laundering, and compliance workflows. These systems summarize complex documents, surface anomalies, and create consistent narratives that free human experts to focus on judgment, context, and relationships. What surprised me most was how often customers value consistency and clarity over raw speed or automation.
We also explore what other industries can learn from community banks, particularly their modular, measured approach to adoption. With limited budgets and decades-old core systems, these institutions innovate cautiously, prioritizing low-risk, high-return use cases and strong governance from day one. Ravi shares why explainable AI must speak the language of bankers and regulators, not data scientists, and why showing the "why" behind a decision is essential to keeping humans firmly in control.
As we look toward 2026 and beyond, the conversation turns to where AI can genuinely support better outcomes in lending and credit risk without sidelining human judgment. Ravi is clear that fully autonomous decisioning still has a long way to go in high-stakes environments, and that the future is far more about partnership than replacement. AI can surface patterns, speed up insight, and flag risks early, but people remain essential for context, empathy, and final accountability.
If you're trying to cut through the AI noise and understand how trust, governance, and real-world impact intersect, this episode offers a rare look at how responsible AI is actually being built and deployed today. And once you've listened, I'd love to hear your perspective. Where do you see AI earning trust, and where does it still have something to prove?
Useful Links
Connect with Ravi Nemalikanti
Learn more about Abrigo
Thanks to our sponsors, Alcor, for supporting the show.

What really happens after the startup advice runs out and founders are left facing decisions no pitch deck ever prepared them for?
In this episode of Tech Talks Daily, I sit down with Vijay Rajendran, a founder, venture capitalist, UC Berkeley instructor, and author of The Funding Framework, to discuss the realities of company building that rarely appear on social feeds or investor blogs. Vijay has spent years working alongside founders at the sharpest end of growth, from early fundraising conversations through to the personal and leadership shifts that scaling demands. That experience shapes a conversation that feels refreshingly honest, thoughtful, and grounded in lived reality.
We explore why building something people actually want sounds simple in theory yet proves brutally difficult in practice. Vijay explains how timing, learning velocity, and the willingness to adapt often matter more than stubborn vision, and why many founders misunderstand what momentum really looks like. From there, the discussion moves into investor relationships, not as transactional events, but as long-term partnerships that require founders to shift their mindset from defense to evaluation. The emotional and psychological dynamics of fundraising come into focus, especially the moments when founders underestimate how much power they actually have in shaping those relationships.
A big part of this conversation centers on leadership identity. Vijay breaks down the messy transition from being the "chief everything officer" to becoming a true chief executive, and why the most overlooked stage in that journey is learning how to enable others. We talk about the point where founders become the bottleneck, often without realizing it, and why this tends to surface as teams grow and decisions start happening outside the founder's direct line of sight. The plateau many companies hit around scale becomes less mysterious when viewed through this lens.
We also challenge some of the most popular startup advice circulating online today, particularly around fundraising volume, pitching styles, and the idea that persistence alone guarantees outcomes. Vijay shares why treating fundraising like enterprise sales, focusing on alignment over volume, and listening more than pitching often leads to better results. The conversation closes with practical reflections on personal growth, co-founder dynamics, and how leaders can regain clarity during periods of pressure without stepping away from responsibility.
If you are building a company, leading a team, or questioning whether you are evolving as fast as your business demands, this episode will likely hit closer to home than you expect. And once you've listened, I'd love to hear what resonated most with you and the leadership questions you're still sitting with after the conversation.
Useful Links
Connect with Vijay Rajendran
The Funding Framework Startup Pitch Deck
Thanks to our sponsors, Alcor, for supporting the show.