This is the takeaway episode with Shachar Meir, who has spent 20 years fixing data teams and understanding why they fail. In this live episode, Shachar joins Juan and Tim to discuss the reason why they fail and what they should be doing in order to succeed. 

This is the takeaway episode with Shachar Meir, who has spent 20 years fixing data teams and understanding why they fail. In this live episode, Shachar joins Juan and Tim to discuss the reason why they fail and what they should be doing in order to succeed.&nbsp;

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

TAKEAWAY - Why Data Teams Fail and Succeed with Shachar Meir  

Agents will build data infrastructure at every layer and become its primary consumers. Tristan Handy, President and Co-founder of Fivetran / dbt Labs joins Juan and Tim where we unpack the big shift that is happening: teams need to move from working in the process (picking up individual tickets) to working on the process (building the factories that handle those tickets). In this episode, we break down what this means for data roles, why open components matter more than vendor stacks, and the socio-political problem nobody's talking about, deciding what counts as truth so your agents (and humans) ask the right questions in the first place. Topics discussed:
Agents as builders and consumers 
Data roles are collapsing
From working IN to working ON 
Loop building as the competitive advantage
Business understanding beats technical specs 
From humans in the loop to humans out of the loop 
Open components over vendor stacks
Defining truth is a political problem
Data observability becomes business observability
Real-time becomes necessary  
Humans delegate outcomes, set goals, sit in control

Agents will build data infrastructure at every layer and become its primary consumers. Tristan Handy, President and Co-founder of Fivetran / dbt Labs joins Juan and Tim where we unpack the big shift that is happening: teams need to move from working in the process (picking up individual tickets) to working on the process (building the factories that handle those tickets). In this episode, we break down what this means for data roles, why open components matter more than vendor stacks, and the socio-political problem nobody's talking about, deciding what counts as truth so your agents (and humans) ask the right questions in the first place. Topics discussed:
<ul>
<li aria-level="1">Agents as builders and consumers&nbsp;</li>
<li aria-level="1">Data roles are collapsing</li>
<li aria-level="1">From working IN to working ON&nbsp;</li>
<li aria-level="1">Loop building as the competitive advantage</li>
<li aria-level="1">Business understanding beats technical specs&nbsp;</li>
<li aria-level="1">From humans in the loop to humans out of the loop&nbsp;</li>
<li aria-level="1">Open components over vendor stacks</li>
<li aria-level="1">Defining truth is a political problem</li>
<li aria-level="1">Data observability becomes business observability</li>
<li aria-level="1">Real-time becomes necessary&nbsp;&nbsp;</li>
<li aria-level="1">Humans delegate outcomes, set goals, sit in control</li>
</ul>

Agents are taking over data! So what comes next? with Tristan Handy 

This is the takeaway episode with Tristan Handy, President and Co-founder of Fivetran / dbt Labs where he joins Juan and Tim to discuss how agents will build data infrastructure at every layer and become its primary consumers. We unpack the big shift that is happening: teams need to move from working in the process to working on the process, what this means for data roles, why open components matter more than vendor stacks, and the socio-political problem nobody's talking about, deciding what counts as truth so your agents (and humans) ask the right questions in the first place. 

This is the takeaway episode with Tristan Handy, President and Co-founder of Fivetran / dbt Labs where he joins Juan and Tim to discuss how agents will build data infrastructure at every layer and become its primary consumers. We unpack the big shift that is happening: teams need to move from working in the process to working on the process, what this means for data roles, why open components matter more than vendor stacks, and the socio-political problem nobody's talking about, deciding what counts as truth so your agents (and humans) ask the right questions in the first place.&nbsp;

TAKEAWAY - Agents are taking over data! So what comes next? with Tristan Handy 

AI doesn't create your problems. It inherits the business choices you never made and the results nobody owns. David Krauza, VP of Data Strategy and Governance at Comcast, joins Juan and Tim to make the case that most "data problems" aren't data problems at all. They are accountability problems, definition problems, assumption problems, and what-are-we-even-measuring problems. The fix isn't better tooling. Data teams are so focused on delivery that they never stop to ask what the business is actually trying to do. It's going to the C-suite, asking about the top three goals, and following the definitions until the cracks show up. Topics discussed:
AI inherits your unmade decisions
The output trap
Definitions are the real foundation
Talk to the business
Data as a cost center vs. a value driver
Single source of data, multiple versions of the truth
Think like a product owner
The revenge of the liberal arts majors

AI doesn't create your problems. It inherits the business choices you never made and the results nobody owns. David Krauza, VP of Data Strategy and Governance at Comcast, joins Juan and Tim to make the case that most "data problems" aren't data problems at all. They are accountability problems, definition problems, assumption problems, and what-are-we-even-measuring problems. The fix isn't better tooling. Data teams are so focused on delivery that they never stop to ask what the business is actually trying to do. It's going to the C-suite, asking about the top three goals, and following the definitions until the cracks show up. Topics discussed:
<ul>
<li aria-level="1">AI inherits your unmade decisions</li>
<li aria-level="1">The output trap</li>
<li aria-level="1">Definitions are the real foundation</li>
<li aria-level="1">Talk to the business</li>
<li aria-level="1">Data as a cost center vs. a value driver</li>
<li aria-level="1">Single source of data, multiple versions of the truth</li>
<li aria-level="1">Think like a product owner</li>
<li aria-level="1">The revenge of the liberal arts majors</li>
</ul>

TAKEAWAY - Why Data Teams Fail and Succeed with Shachar Meir

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

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