1116: Exploring The Data Privacy Spotlight Report by Dynata
Release Date: 02/19/2020
Dynatrace Intelligence And The Shift From Observability To Autonomous Action
Tech Talks Daily
Perform 2026 felt like a turning point for Dynatrace, and when Steve Tack joined me for his fourth appearance on the show, it was clear this was not business as usual. We began with a little Perform nostalgia, from Dave Anderson’s unforgettable “Full Stack Baby” moment to the debut of AI Rick on the keynote stage. But the humor quickly gave way to substance. Because beneath the spectacle, Dynatrace introduced something that signals a broader shift in observability: Dynatrace Intelligence. Steve was candid about the problem they set out to solve. Too much focus on ingesting data....
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Tungsten Automation: Why AI ROI Starts With Boring AI And Real Workflows
Tech Talks Daily
What happens when the noise around AI starts to drown out the actual business value it is meant to deliver? In this episode of Tech Talks Daily, I sat down with Adam Field, Chief AI and Product Officer at Tungsten Automation, fresh from the conversations unfolding at Davos. While headlines continue to celebrate agentic AI and sweeping automation claims, Adam offered a grounded perspective shaped by decades of experience turning AI pilots into measurable, ROI-driven deployments. His view is simple. The hype cycle may be accelerating, but many organizations still struggle with the fundamentals....
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Agentic AI In Action: How Swan AI Is Rewriting The Rules Of Company Building
Tech Talks Daily
How do you build a $30 million ARR business with just three people and a fleet of AI agents doing the heavy lifting? In this episode of Tech Talks Daily, I connected with Amos Joseph, CEO of Swan AI. From the moment we joked about AI notetakers silently observing our conversation, it was clear this discussion would go beyond surface-level automation talk. Amos is attempting something bold. He is building what he calls an autonomous business, one designed to scale with intelligence rather than headcount. Amos has already built and exited two B2B startups using the traditional...
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From Digital Gold To DeFi Liquidity: The Threshold Network Vision For Bitcoin
Tech Talks Daily
Is Bitcoin still just a digital store of value, or is it quietly evolving into the financial engine of a new on-chain economy? In this episode of Tech Talks Daily, I sat down with Callan Sarre, Co-Founder of Threshold Labs, to explore what happens when the world's most recognized crypto asset stops sitting idle and starts becoming programmable capital. We recorded against the backdrop of a sharp market correction that wiped out value across crypto and traditional assets alike, making for a timely and honest conversation about volatility, maturity, and why Bitcoin's next chapter may be defined...
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AI PCs Explained With Logan Lawler from Dell Technologies
Tech Talks Daily
What actually happens when AI stops being a cloud-only experiment and starts running on desks, in labs, and inside real teams trying to ship real work? In this episode, I sit down with Logan Lawler, Senior Director at Dell Technologies, to unpack how AI workloads are really being built and supported on the ground today. Logan leads Dell’s Precision and Pro Max AI Solutions business and hosts Dell’s own Reshaping Workflows podcast, giving him a rare vantage point into how engineers, developers, creatives, and data teams are actually working, not how marketing slides suggest they should be....
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Cisco Live 2026 Amsterdam: Why AI Agents Fail Without Infrastructure Ready For Scale
Tech Talks Daily
What does it really take to move AI from experimentation into something enterprises can trust, scale, and rely on every day? In this episode of Tech Talks Daily, I’m joined by Rob Lay, CTO and Solutions Engineering Director for Cisco UK and Ireland, recorded in the run-up to Cisco Live EMEA in Amsterdam. As agentic AI dominates conference agendas on both sides of the Atlantic, this conversation steps away from model hype. It focuses on the less glamorous, but far more decisive layer underneath it all: infrastructure. Rob explains why the biggest constraint on scaling AI agents in production...
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IBM’s Global Managing Partner on how CEOs Are Rethinking AI ROI
Tech Talks Daily
What does it really take to move enterprise AI from impressive demos to decisions that show up in quarterly results? One year into his role as Global Managing Partner at IBM Consulting, Neil Dhar sits at the intersection of strategy, capital allocation, and technology execution. Leading the firm’s Americas business and a team of close to 100,000 consultants, he has a front-row view into how large organizations are reassessing their AI investments. From global healthcare leaders like Medtronic to luxury retail brands such as Neiman Marcus, the conversation has shifted. Early proofs of concept...
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Why EY Thinks Ecosystems Will Define The Future Of Enterprise AI
Tech Talks Daily
How Do Marketplaces Turn AI Ambition Into Scalable, Trusted Enterprise Reality? That is the question I explore in this episode with Julie Teigland, Global Vice Chair for Alliances and Ecosystems at EY, someone who sits right at the intersection of enterprise demand, technology platforms, and the ecosystems that increasingly power modern AI adoption. As organizations race to deploy AI at scale, many are discovering that the real challenge is not a lack of tools, but the complexity of choosing, integrating, governing, and standing behind those decisions with confidence. Julie explains why...
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Motive on Why Accurate, Real-Time Edge AI Saves Lives in Physical Operations.
Tech Talks Daily
As someone who spends a lot of time covering AI announcements, product launches, and conference stages, it is easy to forget that most AI today is still built for desks, screens, and digital workflows. Yet the reality is that the vast majority of the global workforce operates in the physical world, on roads, construction sites, depots, and job sites where mistakes are measured in injuries, collisions, and lives lost. That gap between where AI innovation happens and where real risk exists is exactly why I wanted to sit down with Amish Babu, CTO at Motive. In this episode, I speak with Amish...
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Building Responsible Agentic AI: Genpact’s Blueprint For Enterprise Leaders
Tech Talks Daily
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Dynata is the world's largest first-party data and insight platform.
With a reach that encompasses 62 million consumers and business professionals globally and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data.
The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy to innovation, to branding, advertising, measurement, and optimization.
Dynata serves nearly 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe, and Asia-Pacific. The company also has a reach that encompasses 60+ million people globally and an extensive library of individual profile attributes collected through surveys.
I invited Jackie Lorch, VP, Global Knowledge Management of Dynata onto the Tech Talks Daily Podcast to talk about the global research around data privacy. The mistrust between consumers and companies is at an all-time high, according to new data by Dynata. The Data Privacy & Trust report surveyed consumers in nine countries, including the US, to get their perspectives on data transparency by companies, the value exchange, familiarity and privacy.
Topline findings include the facts that 70 percent of consumers agree that companies have been dishonest about how personal data is used. 80 percent of consumers would be more willing to share data if brands were more transparent about their plans for that data. But only 27 percent would feel more comfortable sharing data if “valuable benefits” were offered in exchange.
We further discuss this research and implications to brands, why we need to fundamentally change how we think and talk about transparency and “the value exchange.” We also explore and where we’re at in our evolution around data ownership and privacy.