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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

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Data Neighbor Podcast

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by Data Neighbor Podcast

5.0(15 reviews)

50 episodes

Updated Daily

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YouTube85

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Podcast Overview

Welcome to the Data Neighbor Podcast with Hai, Sravya, and Shane! We’re your friendly guides to the ever-evolving world of data. Whether you’re an aspiring data scientist, a data professional looking to grow your career, or just curious about how data shapes the world, you’re in the right place. Our mission? To help you break in or thrive in the field of data. We dive into: - Personal career journeys and how luck, opportunity, and grit play a role - How to break into the data field even with a non-traditional background - Industry insights through engaging conversations and expert interviews

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11/21/2024

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Engagement51

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Recent Episodes

February 19, 2026

Ep50: Tableau and the Rise of Proactive, Agentic Analytics

In this episode of Data Neighbor, we’re joined by Nate Nichols, VP of Product at Tableau, to unpack how AI is changing analytics, not in theory, but in practice.🔗 Links & ResourcesData Neighbor: https://dataneighbor.comAI Analytics for Builders (course): https://bit.ly/analyst-aiFree 30-day AI Evals course: https://dataneighbor.kit.com/b595040b93Tableau Blog: https://www.tableau.com/blogConnect with the team (tell us YouTube sent you!):Shane Butler: https://linkedin.openinapp.co/b02feSravya Madipalli: https://linkedin.openinapp.co/9be8cHai Guan: https://linkedin.openinapp.co/4qi1rConnect with Nate:https://www.linkedin.com/in/nate-nichols/Nate walks us through Tableau’s shift to proactive, agentic analytics: systems that detect meaningful changes, run diagnostic analysis, surface context, and push insights directly into the tools teams already use.We talk about:- Why the “last mile” of analytics has always been broken- How semantic models unlock trustworthy AI-driven analysis- What agentic analytics actually looks like in production- Where human judgment still matters as AI takes on more of the workflow- How analyst roles are evolving as insight moves closer to actionThis conversation changed how we think about the timeline for agentic analytics. It’s not years away, it’s already here.Chapters:00:00 Introduction to AI and data analytics00:31 Nate Nichols’ journey in AI and analytics00:59 The evolution of analytics and Tableau’s role02:42 Understanding user needs and data familiarity04:52 The pressure on analysts and business users07:33 The analytics pipeline and where value is lost10:16 Using AI to drive real outcomes13:03 Measuring success beyond dashboards15:49 What generative AI unlocks for analytics18:24 Trust, governance, and AI-driven insights24:36 Rolling out AI without breaking trust26:25 GenAI features inside Tableau28:10 Live demo: AI-powered analytics in Tableau33:47 Proactive analytics, alerts, and agents39:31 The future of analytics and human judgment57:19 Outro#dataneighbor #analytics #ai #agenticanalytics #tableau #datascience #dataanalytics #aievals #productanalytics

February 12, 2026

Ep49: How Querio Uses AI to Replace Dashboards With Answers

In this episode of Data Neighbor, we’re joined by Rami Abi Habib, CEO and co-founder of Querio, to talk about what agentic analytics looks like when it’s built into a BI product from the ground up.🔗 Links & ResourcesCheck out Querio: https://querio.ai/A ➞ B Podcast: <a href="https://studio.youtube.com/channel/UC7FWVdaDryX7N1CtIXsjM2w"> @QuerioData </a> Free AI workshops schedule: https://dataneighbor.comAI Analytics for Builders (course): https://bit.ly/analyst-aiFree 30-day AI Evals course: https://dataneighbor.kit.com/b595040b93Connect with the team (tell us YouTube sent you!):Shane Butler: https://linkedin.openinapp.co/b02feSravya Madipalli: https://linkedin.openinapp.co/9be8cHai Guan: https://linkedin.openinapp.co/4qi1rConnect with Rami: https://www.linkedin.com/in/datarami/We talk about:* Why dashboards became the wrong default for “data-driven” teams* How agentic analytics changes the ticketing model for data teams* Why “BI as code” matters for transparency and trust* The semantic layer and context flywheel: how systems improve week over week* Where human judgment still matters (metrics, definitions, exceptions, executive trust)* What self-serve analytics does to data literacy across the business* What it will take to reach a “prompt is the dashboard” worldChapters:00:00 Introduction to Data Analysis in the AI Era04:18 Rami's Journey and Insights from Amazon09:08 The Birth of Querio: Addressing BI Challenges12:28 Understanding Querio: A New Approach to Data13:26 Governance and Trust in Data Analytics16:14 Workflow and User Experience with Querio22:53 Future Innovations and Enhancements in Querio25:47 Understanding Data Context and Metrics27:27 The Role of Documentation in Data Management28:46 Pilot Programs and Customer Onboarding29:49 The Shift Towards Self-Service Data31:58 Rethinking Dashboards and Data Access36:51 The Future of Data Tools and AI Integration38:33 Building a Strong Data Layer41:32 Challenges in Data Integration and Management46:38 Outro#dataneighbor #analytics #ai #agenticanalytics #querio #datascience #dataanalytics #productanalytics #aievals

February 5, 2026

Ep48: The Rise of the AI Analyst with CEO of Index

Become and Expert in Agentic Analytics and AI Evals at https://dataneighbor.com/Learn more about Index:https://index.app/In this episode of the Data Neighbor Podcast, we sit down with Xavier Pladevall, co-founder of Index, to break down what’s actually changing in business intelligence and what’s not as AI enters the analytics stack.Index is building an AI-powered data platform that blends dashboards, SQL, and an agentic chat experience. But as Xavier explains, the hard parts of data work still show up in the same places: messy data, unclear questions, and getting a room of humans to trust and act on what they see. In this episode, you’ll learn:- Why most “modern data” talk is disconnected from what teams actually use day to day- Why dashboards remain the default interface for stakeholders- How product design and UI quality change trust in data- What Index 1.0 is solving today, and what Index 2.0 unlocks next- How Index 2.0 makes analytics more proactive with recommended questions- Where AI breaks in analytics and why data quality is still the bottleneck- Why “data slop” compounds AI errors in surprising ways- Why data scientists are not going anywhere, even as AI takes on more tasks- Why SQL is more important than ever, just more abstractedWhat the real future looks like beyond “chat with your data” #datapodcast #analytics #businessintelligence #datatools #datascience #aiforanalytics #agenticanalytics #productanalytics #dataleadership #dataneighbor #index

50 total episodes available

Recent guests on Data Neighbor Podcast

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Shelby Heinecke

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Sadie St Lawrence

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Lei Tang

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Sandi Besen

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Jigyasa Grover

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Barry McCardel

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Umang Chaudhary

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Manoj Mohan

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Aman Khan

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Lohitaksh Yogi

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Mahesh Yadav

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Ercan Kamber

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Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Data Neighbor Podcast?: Welcome to the Data Neighbor Podcast with Hai, Sravya, and Shane! We’re your friendly guides to the ever-evolving world of data. Whether you’re an aspiring data scientist, a data professional looking to grow your career, or just curious about how data shapes the world, you’re in the right place.

Our mission? To help you break in or thrive in the field of data. We dive into:

Personal career journeys and how luck, opportunity, and grit play a role

How to break into the data field even with a non-traditional background

Industry insights through engaging conversations and expert interviews
How often does this podcast release new episodes?: This podcast updates daily.
Where can I listen to this podcast?: This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Does this podcast accept guests?: Yes, this podcast regularly features guests.

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