1116: Exploring The Data Privacy Spotlight Report by Dynata
Release Date: 02/19/2020
Harness And The AI Velocity Paradox Slowing Software Delivery
Tech Talks Daily
What really happens when AI helps teams write code faster, but everything else in the delivery process starts to slow down? In this episode of Tech Talks Daily, I’m joined once again by returning guest and friend of the show, Martin Reynolds, Field CTO at Harness. It has been two years since we last spoke, and a lot has changed since then. Martin has relocated from London to North Carolina, gaining back hours of his working week. Still, the bigger shift has been in how AI is reshaping software delivery inside modern enterprises. Our conversation centers on what Martin calls the AI velocity...
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FreedomPay on The $44.4 Billion Payment Risk Facing Retail And Hospitality
Tech Talks Daily
What really happens to a business when payments stop working, even for a few minutes? I recorded this episode live at Dynatrace Perform in Las Vegas, inside the Venetian, surrounded by engineers, operators, and business leaders all wrestling with the same uncomfortable reality. Payment outages are no longer rare edge cases. They are becoming a routine operational risk, and the cost is far higher than many organizations realize. To unpack that shift, I sat down with Victoria Ruffo, Software Engineering Team Lead at FreedomPay, for a grounded and practical conversation about resilience,...
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What Bubble Learned About Responsibility in AI-built Apps
Tech Talks Daily
In this episode of Tech Talks Daily, I’m joined by Josh Haas, co-founder and co-CEO of Bubble, to unpack why the next phase of software creation is already taking shape. We talk about how the early excitement around AI-powered code generation delivered fast demos and instant gratification, but often fell apart when teams tried to turn those experiments into durable products that could grow with a business. Josh takes us back to Bubble’s origins in 2012, long before AI hype cycles and trend-driven development. At the time, the idea was simple but ambitious: give more people the ability to...
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Cloudinary and the Business Case for Developer-Led Product Growth
Tech Talks Daily
How do you turn a developer-first product into a growth engine without losing trust, clarity, or focus along the way? In this episode of Tech Talks Daily, I’m joined by Sanjay Sarathy, VP of Developer Experience and Self Service at Cloudinary, for a grounded and thoughtful conversation about product-led growth when developers sit at the center of the story. Sanjay operates at a rare intersection. He leads Cloudinary’s high-volume self-service motion while also caring for the developer community that fuels adoption, advocacy, and long-term loyalty. That dual perspective, part business, part...
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Syntax - From AI First Thinking To Data First Reality
Tech Talks Daily
What happens when the rush toward AI collides with the messy reality of enterprise data that was never designed for it? That is exactly where this episode with Kevin Dattolico from Syntax begins. Before we even hit record, we were swapping stories about music, travel, and a certain farewell concert that set the tone for a conversation that was both grounded and unexpectedly human. But once we got going, the discussion quickly shifted to one of the biggest blind spots I keep hearing about at tech conferences around the world. AI ambition is running far ahead of data readiness. Kevin leads...
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Neurosymbolic AI And Why Reasoning Matters More Than Scale
Tech Talks Daily
Why do today’s most powerful AI systems still struggle to explain their decisions, repeat the same mistakes, and undermine trust at the very moment we are asking them to take on more responsibility? In this episode of Tech Talks Daily, I’m joined by Artur d'Avila Garcez, Professor of Computer Science at City St George's University of London, and one of the early pioneers of neurosymbolic AI. Our conversation cuts through the noise around ever-larger language models and focuses on a deeper question many leaders are now grappling with. If scale alone cannot deliver reliability,...
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Why Stability Is Emerging As A New Performance Signal In Healthcare Tech
Tech Talks Daily
Why does healthcare keep investing in new technology while so many clinicians feel buried under paperwork and admin work that has nothing to do with patient care? In this episode of Tech Talks Daily, I’m joined by Dr. Rihan Javid, psychiatrist, former attorney, and co-founder and president of Edge. Our conversation cuts straight into an issue that rarely gets the attention it deserves, the quiet toll that administrative overload takes on doctors, care teams, and ultimately patients. Nearly half of physicians now link burnout to paperwork rather than clinical work, and Rihan explains why this...
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Why Relationship-First Platforms Will Win The Next AI Wave
Tech Talks Daily
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Nyobolt And The Power Bottleneck Inside Modern AI Infrastructure
Tech Talks Daily
What happens when power, rather than compute, becomes the limiting factor for AI, robotics, and industrial automation? In this episode of Tech Talks Daily, I’m joined by Ramesh Narasimhan from Nyobolt to unpack a challenge that is quietly reshaping modern infrastructure. As AI training and inference workloads grow more dynamic, power demand is no longer predictable or steady. It can spike and drop in milliseconds, creating stress on systems that were never designed for this level of volatility. We talk about why data center operators, automation leaders, and industrial firms are being forced...
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Cobalt Shares Hard Lessons From the State of Pen Testing Report
Tech Talks Daily
What happens when artificial intelligence starts accelerating cyberattacks faster than most organizations can test, fix, and respond? In this episode of Tech Talks Daily, I sat down with to unpack what real-world penetration testing data is revealing about the current state of enterprise security. With more than two decades in cybersecurity and a background that spans finance, engineering, product, and strategy, Sonali brings a grounded, operator-level view of where security teams are keeping up and where they are quietly falling behind. Our conversation centers on what happens when AI...
info_outlineDynata 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.