In today’s episode of Tech Talks Daily, I sat down with Andy Bell, Head of Data Product Management at Precisely, to explore a challenge that many organizations continue to underestimate: the role of data integrity in AI strategies. With only 12 percent of businesses expressing confidence in the quality of their AI data, it's clear that the rush to implement AI is often outpacing the readiness of the data that supports it.

Andy and I unpack what happens when enterprises leap into generative or agentic AI without addressing foundational data issues. From hallucinations to bias to unreliable outputs, the risks are significant. As we discussed, these risks don’t just impact models — they erode trust with customers and complicate accountability, especially in regulated industries where traceability is non-negotiable.

We then explored the power of third-party data enrichment and how it can offer much-needed context that internal datasets often lack. Andy shared real-world examples, including how a major delivery company saved 65 million dollars by optimizing address accuracy and how San Bernardino County used Precisely’s wildfire risk models to improve emergency planning. These aren’t abstract use cases — they show measurable business value.

Andy also introduced the Precisely Data Link program, a solution designed to make it easier to connect, manage, and query multiple third-party datasets. With persistent IDs and flexible delivery methods through APIs, managed services, and platforms like Snowflake and Databricks, Precisely is helping organizations speed up time to value while reducing integration headaches.

Looking ahead, Andy shared how Precisely is building AI capabilities that allow users to query third-party data using natural language. This shift aims to make complex data interactions more intuitive and accessible to business users who may not be data engineers.

If data is the fuel for AI, then the quality and context of that data will define the road ahead. Is your organization doing enough to ensure its data can be trusted by the AI it deploys?

In this episode of Tech Talks Daily, I sat down with Joseph Landes, co-founder and Chief Revenue Officer at Nerdio, to explore how one conversation at a Microsoft conference led to a billion-dollar cloud automation company. From his 23-year career at Microsoft to building a fully remote team now supporting over five million users, Joseph’s story blends strategic risk-taking with deep industry insight.

We unpacked how Nerdio grew from a startup idea in 2018 to a company that just secured 500 million dollars in Series C funding. Joseph walked me through the early days of building the business alongside co-founder Vadim Vladimirsky and how they focused on simplifying Microsoft Azure for IT professionals and MSPs. Their goal was clear: make cloud management easier, faster, and more cost-effective through automation and policy-driven governance.

But this episode wasn’t just about cloud optimization. We also dug into Nerdio’s fully remote culture and the intentional design behind it. Joseph shared how initiatives like appointing city mayors, launching the Nerdio Break Room, and hosting an annual global kickoff have helped maintain a strong sense of community and accountability across 350 remote employees.

We also discussed why Nerdio does not compete with Microsoft. It enhances and extends Microsoft’s products, helping customers navigate Azure complexity while staying aligned with Microsoft's fast-changing roadmap. This customer-centric strategy, coupled with deep product knowledge and agility, has been key to Nerdio’s ability to scale without losing focus.

Looking ahead, Joseph shared his perspective on why AI and continuous cost optimization will shape the future of enterprise IT. He made a strong case for simplifying IT operations, empowering professionals, and turning savings into reinvestment opportunities.

In an era of complexity and noise, Nerdio’s growth story is a reminder of what can happen when you combine deep platform expertise with a culture that truly listens.

How is your organization turning cloud complexity into an advantage rather than a barrier?

The training room is changing, and it's not going back. In this episode, I sat down with Phil Friedman, the founder and CEO of CGS Inc., to explore how AI, avatars, and immersive simulations are rewriting the playbook on workplace training. With over four decades at the helm of CGS—a company he built from scratch after immigrating to the US—Phil brings a perspective shaped by both technological evolution and global business experience.

The heart of our conversation centered on Cicero, CGS’s AI-driven platform that blends artificial intelligence with extended reality to create dynamic, real-time role-play simulations. Far from just another e-learning tool, Cicero tackles one of the biggest blind spots in workforce development today: soft skills. From objection handling in medical device sales to flight attendant training and fast-food onboarding, the platform is being used to scale training faster, cheaper, and more effectively than traditional classroom or online methods ever could.

What really stood out was how Phil views this as a moment of acceleration rather than disruption. AI isn’t here to replace human trainers or eliminate roles; it's a tool that can deepen learning and speed up how people acquire both interpersonal and job-specific skills. In a world where young workers are more comfortable with gaming engines than whiteboards, the immersive, responsive nature of AI-powered simulations offers a natural fit.

Phil shared compelling stories from industries like healthcare, aviation, and fast food, where training time has been slashed from months to days. But more than the metrics, it’s the idea that training can now adapt in real time, simulate unpredictable human behavior, and offer meaningful feedback immediately that points to where we’re headed next.

As AI and XR technologies converge, what will it mean when every employee can have a personalized, just-in-time coach at their fingertips?