This is the start of our 7th year of doing the podcast. Juan and Tim kick off the 12th season sharing who are the upcoming guests and what's the latest on their mind about this crazy data and AI world:
The new website (honestnobsdata.com) and discussed building a knowledge graph of the podcast itself 
Two types of semantics: for AI context vs. for system interoperability 
The vendor hype gap vs. practitioner reality
AI agent proliferation and the governance surface area explosion
AI cybersecurity: models escaping their sandboxes 
The economics of AI: accuracy, latency, and token cost as the new CAP theorem
The great convergence, "triangle of consolidation" and “postmodern data stack”
OSI and Apache Nessie
Work as the center of gravity
Bridging the operational and analytics worlds

This is the start of our 7th year of doing the podcast. Juan and Tim kick off the 12th season sharing who are the upcoming guests and what's the latest on their mind about this crazy data and AI world:
<ul>
<li aria-level="1">The new website (<a href="http://honestnobsdata.com">honestnobsdata.com</a>) and discussed building a knowledge graph of the podcast itself&nbsp;</li>
<li aria-level="1">Two types of semantics: for AI context vs. for system interoperability&nbsp;</li>
<li aria-level="1">The vendor hype gap vs. practitioner reality</li>
<li aria-level="1">AI agent proliferation and the governance surface area explosion</li>
<li aria-level="1">AI cybersecurity: models escaping their sandboxes&nbsp;</li>
<li aria-level="1">The economics of AI: accuracy, latency, and token cost as the new CAP theorem</li>
<li aria-level="1">The great convergence, "triangle of consolidation" and &ldquo;postmodern data stack&rdquo;</li>
<li aria-level="1">OSI and Apache Nessie</li>
<li aria-level="1">Work as the center of gravity</li>
<li aria-level="1">Bridging the operational and analytics worlds</li>
</ul>

Catalog and Cocktails is the honest, No-BS, non-sales-y podcast about data and analytics. This is your unfiltered chat about everything interesting in data and analytics. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from thought leaders, practitioners and executives across the data and analytics space.

Catalog and Cocktails is the honest, No-BS, non-sales-y podcast about data and analytics. This is your unfiltered chat about everything interesting in data and analytics. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from thought leaders, practitioners and executives across the data and analytics space.

Catalog & Cocktails: The Honest, No-BS Data Podcast

ServiceNow Podcast Program is a collection of podcast shows hosted by various ServiceNow experts and professionals covering different focus areas and a broad variety of topics. Come listen to our experts talk about what's going on at ServiceNow. Join the conversation!

Visit the Now Community forums

ServiceNow Podcast Program is a collection of podcast shows hosted by various ServiceNow experts and professionals covering different focus areas and a broad variety of topics. Come listen to our experts talk about what's going on at ServiceNow. Join the conversation!
<a href="https://community.servicenow.com/community">Visit the Now Community forums</a>

ServiceNow Podcasts

Honest No-BS Data Podcast 7th Year and Season 12 Kick Off

Mohammed Aaser, former chief data officer at McKinsey and former chief data strategy officer at Domo, recently visited Juan and shared his framework on talent in the AI era. It was incredibly insightful and we asked if he could come back to the podcast (after 5 years!) His argument is that the potential of AI will be unlocked by humans because humans understand the problems, and are driven/motivated to solve the problems. 

In this episode, Mohammed lays out a framework for talent in the AI era. Automation is already taking over the known, repeatable work. What remains is the unknown, and that takes people who keep learning and who take initiative. The framework plots people on two dimensions, learning and drive. You have Doers, Philosophers, Commanders, Hackers, Strategist, Innovators, Game changers and more. Topics discussed
Automation and the innovation engine
The known versus the unknown
Two dimensions of talent
The talent quadrants
The multiplier effect
Commanders and scaling
Environments that don’t build initiative
Rarity of high-potential people
Investing in human potential
The human mind as the limit
Critical thinking through discomfort

Mohammed Aaser, former chief data officer at McKinsey and former chief data strategy officer at Domo, recently visited Juan and shared his framework on talent in the AI era. It was incredibly insightful and we asked if he could come back to the podcast (after 5 years!) His argument is that the potential of AI will be unlocked by humans because humans understand the problems, and are driven/motivated to solve the problems.&nbsp;
In this episode, Mohammed lays out a framework for talent in the AI era. Automation is already taking over the known, repeatable work. What remains is the unknown, and that takes people who keep learning and who take initiative. The framework plots people on two dimensions, learning and drive. You have Doers, Philosophers, Commanders, Hackers, Strategist, Innovators, Game changers and more. Topics discussed
<ul>
<li aria-level="1">Automation and the innovation engine</li>
<li aria-level="1">The known versus the unknown</li>
<li aria-level="1">Two dimensions of talent</li>
<li aria-level="1">The talent quadrants</li>
<li aria-level="1">The multiplier effect</li>
<li aria-level="1">Commanders and scaling</li>
<li aria-level="1">Environments that don&rsquo;t build initiative</li>
<li aria-level="1">Rarity of high-potential people</li>
<li aria-level="1">Investing in human potential</li>
<li aria-level="1">The human mind as the limit</li>
<li aria-level="1">Critical thinking through discomfort</li>
</ul>

Game Changers: The Talent Imperative for the AI Era with Mohammed Aaser

This is the takeaway episode with Mohammed Aaser, former chief data officer at McKinsey and former chief data strategy officer at Domo. He recently visited Juan and shared his framework on talent in the AI era. It was incredibly insightful and we asked if he could come back to the podcast (after 5 years!) His argument is that the potential of AI will be unlocked by humans because humans understand the problems, and are driven/motivated to solve the problems. 

This is the takeaway episode with Mohammed Aaser, former chief data officer at McKinsey and former chief data strategy officer at Domo. He recently visited Juan and shared his framework on talent in the AI era. It was incredibly insightful and we asked if he could come back to the podcast (after 5 years!) His argument is that the potential of AI will be unlocked by humans because humans understand the problems, and are driven/motivated to solve the problems.&nbsp;

TAKEAWAY Game Changers: The Talent Imperative for the AI Era with Mohammed Aaser

How do leaders preserve executive trust and credibility? Dora Boussias, executive advisor and former data executive returns to the podcast to unpack this question. Her answer: protect your judgement. 

In this episode, Dora presents the trust equation that most leaders grew up with: expertise + track record + judgment. Dora’s point is that the equation still holds, but each part now means something different. Nobody will out-know AI, so expertise is less about what you know and more about asking the right questions and challenging assumptions. A track record is harder to read when you can’t tell whether a good result came from you or from the model. Judgment carries the most weight now, and it’s the part leaders are most likely to hand off without noticing. Topics discussed: 
Trust equation under AI
Expertise is changing
Track record is harder to read
Judgment carries the most weight
Decision fog
Speed isn’t everything
Ford’s rehiring of experienced engineers
Business fundamentals matter more
Alignment and accountability are cross-functional
Real value is “so what”

How do leaders preserve executive trust and credibility? Dora Boussias, executive advisor and former data executive returns to the podcast to unpack this question. Her answer: protect your judgement.&nbsp;
In this episode, Dora presents the trust equation that most leaders grew up with: expertise + track record + judgment. Dora&rsquo;s point is that the equation still holds, but each part now means something different. Nobody will out-know AI, so expertise is less about what you know and more about asking the right questions and challenging assumptions. A track record is harder to read when you can&rsquo;t tell whether a good result came from you or from the model. Judgment carries the most weight now, and it&rsquo;s the part leaders are most likely to hand off without noticing. Topics discussed:&nbsp;
<ul>
<li aria-level="1">Trust equation under AI</li>
<li aria-level="1">Expertise is changing</li>
<li aria-level="1">Track record is harder to read</li>
<li aria-level="1">Judgment carries the most weight</li>
<li aria-level="1">Decision fog</li>
<li aria-level="1">Speed isn&rsquo;t everything</li>
<li aria-level="1">Ford&rsquo;s rehiring of experienced engineers</li>
<li aria-level="1">Business fundamentals matter more</li>
<li aria-level="1">Alignment and accountability are cross-functional</li>
<li aria-level="1">Real value is &ldquo;so what&rdquo;</li>
</ul>

Honest No-BS Data Podcast 7th Year and Season 12 Kick Off

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Catalog & Cocktails: The Honest, No-BS Data Podcast

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