Tech Talks Daily

How much of your working day is actually spent doing meaningful work, and how much is lost chasing emails, searching for documents, sitting in meetings, and trying to remember where that one important conversation happened?
At Google Cloud Next in Las Vegas, I sat down with Yulie Kwon Kim, Vice President of Product for Google Workspace at Google, to talk about how AI is changing the way billions of people work every day.
Yulie leads the products many of us rely on constantly, Gmail, Google Calendar, Drive, Docs, Sheets, Slides, and newer tools like Google Vids. At this year's event, she introduced Workspace Intelligence, a major step forward in how AI works inside those everyday tools.
Instead of acting like a disconnected assistant, Workspace Intelligence understands your context across emails, meetings, files, and organizational knowledge to help create documents, prioritize inboxes, take meeting notes, and automate the repetitive work that quietly drains productivity.
We explore what Workspace Intelligence actually is, how it differs from third-party AI tools, and why context matters just as much as model capability. Yulie explains why being a truly AI-first enterprise requires more than powerful models, it needs grounded context, governance, and security that people can trust.
We also discuss one of the biggest concerns for business leaders: how to adopt AI without creating new risks around data security and access control. Yulie shares how Google approaches governance inside Workspace and why existing permissions and protections remain central to how AI operates.
This conversation also touches on something bigger, the shift from individual productivity to shared organizational intelligence, where knowledge moves from living inside one person's head to becoming something the entire company can benefit from.
If AI could remove one frustrating task from your workday tomorrow, what would you choose first?
Useful Links
Connect with Yulie Kwon Kim, Vice President of Product for Google
Google Cloud Next 26
Visit the Sponsors of Tech Talks Network and learn more about the NordLayer Browser.

What happens when one of the world's most heavily regulated industries starts moving at AI speed?
At Google Cloud Next in Las Vegas, I sat down with Sid Nadella, Director of Financial Services and Market Leader at Google Cloud, to talk about how AI is reshaping banking, wealth management, and capital markets from the inside out.
With more than 20 years of financial services experience, including a long career at Goldman Sachs, Sid brings a rare perspective on how traditional institutions are balancing innovation with regulation, trust, and zero tolerance for error. We explore why the industry is moving beyond simple AI pilots and into what he calls the "doing era," where agentic AI is helping firms move from static dashboards and fragmented workflows toward intelligent systems that can reason, anticipate, and act in real time.
Sid shares where he sees the biggest business impact today, from fraud detection and risk management to operational efficiency and unlocking new growth. We also discuss real-world examples from firms like Citi Wealth, Citadel, Scotiabank, and Starling Bank, and why the real opportunity lies in building the right foundations first: governance, compliance, observability, and strong data access across increasingly complex environments.
We also tackle one of the biggest concerns around AI adoption, the fear that it replaces people. Sid explains why the real story is augmentation, helping teams remove repetitive work and focus on better decisions, stronger customer relationships, and higher-value outcomes.
If you work in financial services, enterprise technology, or simply want to understand what agentic AI looks like beyond the headlines, this is a conversation packed with practical insight.
How close is your organization to becoming truly agentic?
Useful Links
Connect with Sid Nadella, Director of Financial Services and Market Leader at Google Cloud.
Google Cloud Next 26
Visit the Sponsors of Tech Talks Network and learn more about the NordLayer Browser.

What happens when AI starts moving faster than the people meant to control it?
In this episode, I'm joined by Bernard Montel, Field CTO EMEA at Tenable, for a timely conversation about the AI risks many organizations may be underestimating. Bernard believes we are heading toward a defining AI accident and that the first major incident may come through speed, scale, and unintended consequences rather than a malicious attack.
We talk about why so many companies feel pressure to adopt AI at pace, while visibility, governance, and control struggle to keep up. Bernard describes this moment as "driving faster than we can steer," and explains why shadow AI, overprivileged identities, cloud misconfigurations, and exposed AI projects are already creating real business risk.
The conversation also looks at agentic AI and why giving systems the ability to take action changes the security equation. A chatbot giving a wrong answer is one problem. An AI agent making flawed decisions, leaking data, or interacting with industrial systems is something very different.
Bernard also shares why AI can become a distraction from the security basics that still matter, including cloud security, identity, exposure management, and vulnerability remediation. Attackers may be using AI to move faster, but many of the weaknesses they exploit remain painfully familiar.
We also discuss Tenable's new agentic AI framework, announced during RSA, and how the company is using AI to help security teams respond at machine speed while reducing exposure across IT, cloud, OT, identity, and AI environments.
For business and security leaders, this episode offers a clear warning and a practical takeaway. AI adoption is no longer a future conversation, but control, governance, and exposure management need to move with it.
How prepared is your organization for an AI incident caused by accident rather than attack? Share your thoughts.
Useful Links
Connect with Bernard Montel, Field CTO EMEA at Tenable
Learn More About Tenable
Visit the Sponsors of Tech Talks Network and learn more about the NordLayer Browser.

What if the smartest climate technology strategy isn't about inventing something new, but rethinking the buildings we already spend 90% of our lives in?
In this episode of Tech Talks Daily, I sit down with Ben Stapleton, Executive Director of US Green Building Council California or USGBC California, to talk about why buildings sit at the center of sustainability, resilience, and community well-being. From energy use and air quality to wildfire resilience and climate justice, Ben makes a compelling case that the built environment may be one of the most practical places to create real change.
Ben and his team launched the California Building Performance Hub, a platform designed to help building owners, operators, and policymakers understand how to improve building performance through policy guidance, technical resources, rebates, and even an AI-powered assistant trained on building codes and compliance pathways. We discuss how this platform is helping accelerate California's move toward healthier, lower-energy, high-performance buildings and why AI is becoming a useful sidekick rather than a replacement for human expertise.
Our conversation also moves beyond technology and into something far more human: community. Ben shares how sustainability only works when people feel they have both awareness and agency. From helping low-income communities understand electrification and indoor air quality, to taking a "BuildSMART Trailer" filled with real building materials into neighborhoods so people can touch and understand the future of their homes, this episode is a reminder that climate progress starts with education and trust.
We also talk about wildfire resilience in California, where simple low-cost building decisions can dramatically reduce fire risk while also improving energy efficiency and health outcomes. Ben explains why many of the solutions already exist, and why the challenge is often less about invention and more about implementation, policy, and long-term thinking.
For business leaders, public sector teams, and anyone thinking about the future of cities, this episode offers a fresh perspective on sustainability as both a financial and human opportunity. Healthier buildings create healthier people, and healthier people create stronger businesses.
Is the future of climate action already built around us, and are we finally ready to look up and see it? I'd love to hear your thoughts.
Useful Links
Connect with Ben on LinkedIn
CA Building Hub
USGBC California
Follow USGBC California on LinkedIn

 


Visit the Sponsors of Tech Talks Network and learn more about the NordLayer Browser.

How is AI really changing professional services work today, beyond the demos, predictions, and LinkedIn hype?
In today's episode, I'm joined by DJ Paoni, CEO of Certinia, and Jay Laabs, CEO of Spaulding Ridge, to discuss how AI is already being used inside services organizations to improve project delivery, resource planning, workforce optimization, and client outcomes.
DJ shares what a hybrid workforce of people and AI agents looks like in practice. Rather than thinking of AI as a search bar, he explains why services firms should think of agents as specialized colleagues that can handle repeatable tasks, draft project blueprints, support configuration work, and help teams deliver faster without losing the human judgment clients still rely on.
Jay brings the adoption reality from the consulting front line. He explains why the biggest barrier is rarely the technology itself, but the processes, incentives, data models, and cultural habits wrapped around it. The most successful firms are moving away from broad experimentation and focusing on specific business problems where AI can deliver clear ROI.
We also discuss the risks of rushing in without a plan. From disconnected AI agents creating a "spaghetti web" across the enterprise to teams automating broken workflows, DJ and Jay share practical warnings for leaders who want AI to create value without adding another layer of complexity.
This episode offers a clear look at what is working, what is failing, and what needs to change as professional services firms rethink billable hours, project economics, and the role of human expertise in an AI-enabled workplace.
Are services firms ready to measure success by outcomes rather than hours, and what will that mean for the future of consulting?