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The DATAcated On Air podcast is focused on providing the audience with interesting content for the data community. Episodes will include interviews with experts in the space, as well as presentations on various data science, analytics, machine learning and artificial intelligence topics.
Based on 6 episodes we listened to · September 2026
Kate Straszny keeps enterprise data conversations practical by pressing guests on architecture, product claims, integration, and the limits of current AI systems.
DATAcated On Air turns enterprise data questions into lively conversations, with Kate Straszny guiding guests through the practical decisions behind analytics and AI systems.
Gartner's Magic Quadrant meets tracing paper, if you like your analytics arguments with receipts.
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Short reviews from the PlayNext desk, based on the episodes we processed.
An AWS-first take on why S3 still matters for analytics and AI foundations.
Kate Straszny opens a live conversation with AWS's Paul Megan, AWS's Director of Product Management for Data and Analytics, and keeps the focus on Amazon S3 as a base layer for analytics and AI.
A clear, business-minded case for logical data management as an AI strategy.
The argument treats logical data management as a practical way to connect data and AI. It lays out the warehouse, lakehouse, and logical-view question in plain terms, then uses the data-gravity analogy to make the tradeoff easy to follow.
A grounded look at Good360's effort to connect surplus goods, data, and community impact.
Good360's work starts with a blunt mismatch: new or never-used products can end up in U.S. landfills while roughly 40% of households cannot get products they need.
A practical case for verified answers, not invented ones.
Ask Anything, Solve Everything with Altair reads as a practical case for making data answers traceable instead of magical. Kate Svashny hosts Dr.
A live panel weighs AI's BI promise against the slower work of business readiness.
The episode keeps its focus on a practical business question: what AI, data, and business intelligence look like while real adoption is still taking shape.
A good-humored look at making B2B tech content cut through the noise.
B2B marketing content for tech brands is treated as a practical storytelling problem: how to make data analytics, AI, and machine learning feel lively without losing the point.
A practical Tableau update tour about bringing analytics into Teams and making advanced visualization less cumbersome.
Tableau's latest product tour stays close to the everyday work of analytics, especially the push to bring data into Microsoft Teams instead of making users jump between tools.
Trust starts with the dirty data and documentation that AI conversations usually leave offstage.
Trust in AI lands as a blunt yes-or-no question, then moves into the work that usually sits out of sight. Kate Straszny frames the room around confidence, while Cal Aldubabe, Further's head of AI and data science, pulls the issue back to dirty data, missing documentation, and…
Java conversations with architectural memory.
Cloud stories with operational weight.
Microsoft cloud security, practically explained.
Microsoft cloud security, translated into practice.
Kate Straszny opens a live DataCated conversation with AWS's Paul Megan about how S3 has evolved over 20 years.
Kate Straszny opens the session by framing the logical path for data and AI as a practical way to talk about logical data management and the differences between data warehouses and lake houses.
Stéphane, Good360's Chief Technology Officer, explains how the nonprofit redistributes corporate donations after citing 125 million pounds of product distributed and 25 million people reached in 2023.
Kate Svashny opens the live show with Dr.
Kate Thrashne opens a live session on Gartner's Magic Quadrant and Critical Capabilities reports for analytics and business intelligence platforms.
Kate Straszny hosts Steve Nouri, Karsten Bange, and Amri Cole in a live panel on whether data, AI, or human insight drives business success.
The Dedicated Show host Kate Straszny interviews Sutherd Jones, Tableau's Chief Product Officer, about updates announced after Tableau Conference, which drew over 9,000 in-person and 15,000 online attendees.
Kate Straszny and Cal Aldubabe examine whether people should trust AI, focusing on practical systems that work reliably in high-risk settings such as healthcare, banking, and defense.
Kei Sashne interviews Scott Taylor, the Data Whisperer, about B2B marketing content for technology brands and their work with Deep Vibe.
Kate Straszny interviews Raj Dara, IBM’s global VP for software and AI partnerships, about three barriers to business adoption of generative AI: unavailable tools, excessive implementation complexity, and skills shortages.
The Dedicated Show examines generative BI with host Kate Straszny and Avi Perez, CTO of Pyramid Analytics.
Kate Straszny interviews Silas Sundaram, a senior product manager at Zoho Analytics, about AI across the data lifecycle.
Kate Straszny interviews Cindy Hawson, ThoughtSpot's Chief Data Strategy Officer, about three ways organizations can make generative AI improve humanity rather than cause harm.
Kate Sfashny and Michael Lieberman define data tolerance as the acceptable deviation from an expected value, using a one-inch hole and manufacturing quality control as the analogy.
Kate Straschny interviews Alistair Kroll, founder of Solve for Interesting and conference chair for Data Universe, about marketing beyond conventional differentiation and product-market fit.
DATAcated On Air host Kate Stashny interviews Kevin Petrie of Eckerson Group about extending data governance to generative AI systems.
On the Dedicated Show, Kate Traste interviews Telmai CEO and co-founder Mona Rukybe about securing leadership support for data reliability and observability.
Host Kate Sashney introduces a discussion on data governance with guest Meryl Albert, author of 'Crimes Against Data'.
Host interviews senior data analyst Jess Ramos about data analytics career tips and shares a free resume template.