Rephonic
Artwork for Making Data Simple
Artificial Intelligence
Generative AI
Machine Learning
Automating Data Transformation
Data Science
Symbolic AI
Digital Transformation
Trustworthy AI
Sales
Large Language Models
1-800-Dentist
Pharmaceutical Research
Data Explanation
Venture Capital
Data Engineering
Data Warehousing
Coalesce
Natural Language Processing
Software Patents
Boldness

Hosted by Al Martin, WW VP of Technical Sales at IBM, Making Data Simple cuts through the hype to reveal how data and AI reshape the modern enterprise.

Thought leaders, researchers, and innovators share firsthand lessons on leading teams, scaling analytics, and driving real-world impact—delivered in Al’s signature straightforward, witty style.

Tune in to Making Data Simple today. From data and ... more

PublishesWeeklyEpisodes377Founded7 years ago
Number of ListenersCategories
EntrepreneurshipBusinessTechnology

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Artwork for Making Data Simple

Latest Episodes

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Are your teams struggling with disengagement and declining performance? What if the real problem isn’t talent or strategy, but a hidden “buy-in” gap quietly draining energy, innovation, and results? Joining us is Dave Garrison, a seas... more

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On this replay of Making Data Simple, Manav Gupta, VP and CTO of IBM Canada, jumps straight into the world of large language models and what they really mean for businesses trying to scale AI. From how today’s models are built and tun... more

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Hit replay on this high-energy conversation with Ben Lowe, Founder and CEO of Lighthouse Technology, as he breaks down what it really takes to build something from scratch in a fast-changing AI world. From finding the right co‑founder... more

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Hit replay on one of the most thought-provoking Agentic AI conversations on Making Data Simple. GTM Account Director Megan Gallagher makes the case for Agentic AI from the Maven AGI front lines, where AI agents stop following rigid de... more

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Recent Guests

Megan Gallagher
Go-to-market account executive at Maven AGI
Maven AGI
Episode: Replay: Agentic AI and the End of Deterministic Decision Trees with Megan Gallagher from Maven AGI
Tina Tarquinio
Chief Product Officer for IBM Z and LinuxONE
IBM
Episode: How Do You Build AI That Actually Works 99.999999% of the Time? With Tina Tarquinio Chief Product Officer of IBM Z and LinuxONE
Kris Kluver
A dedicated speaker, facilitator, advisor, and entrepreneur who helps individuals redefine success.
Live on Your Terms
Episode: 🎧 Are you successful… but not satisfied? Redefining Success — Kris Kluver on Building a Business and a Life You Love {Replay}
Douwe Kiela
CEO at Contextual AI, former head of AI research at Hugging Face
Contextual AI
Episode: Unlocking the Power of AI & Data: Expert Insights from Douwe Kiela, CEO of Contextual.ai
Richmond Alake
AI ML practitioner with a background in computer vision, robotics, and machine learning
MongoDB
Episode: Databases That Think: Building AI-Ready Systems with MongoDB’s Richmond Alake {Replay}
Ajay Kulkarni
CEO and co-founder of TigerData
TigerData
Episode: ⚡ Riding the Data Wave: Surviving (and Thriving) in the AI Flood with Time-Series, AI, and the Future with Ajay Kulkarni, CEO and co-founder of TigerData
Deepti Srivastava
Founder and CEO of Snow Leopard
Snow Leopard
Episode: Making Data Simple: Live Data, Smarter AI with Snow Leopard founder Deepti Srivastava
Fred Joyal
Author, speaker, entrepreneur, and business advisor
1-800-DENTIST
Episode: The BOLD Advantage: Show Up (hint, this will make sense after you listen) and hear Fred Joyal’s Guide to Confidence, Networking & Growth {Replay}
Jacob Hicks
A powerhouse sales and success coach dedicated to helping high performers break through plateaus and build lasting momentum
jacobhickscoach.com
Episode: Stop, Start, Succeed: Jacob Hicks on Time Management & Coaching with Guest Host Katherine Mayne

Host

Al Martin
Host exploring data and AI within modern enterprises, utilizing straightforward and witty discussions to engage listeners.

Reviews

4.6 out of 5 stars from 21 ratings
  • Disappointed

    Just a bunch of men talking about how smart they are and their experiences where of course they are always the smartest in the room. As a data practitioner myself I did not find anything useful, nothing that resonated with me or that made me think differently. Not good enough for many buzzwords the throw there.

    Apple Podcasts
    1
    sobad33
    United Kingdom3 years ago
  • One of my faves!

    Such an interesting and dynamic show. Al is a great interviewer!

    Apple Podcasts
    5
    malloryck
    United States3 years ago
  • DATA ON DATA

    Who doesn’t love simple data

    Apple Podcasts
    5
    samlindy208
    United States4 years ago
  • 5 stars!

    No false advertising here - they make data simple!

    Apple Podcasts
    5
    IowaDavid
    United States4 years ago
  • very informative podcast

    they get into it and make data talk simple and entertaining

    Apple Podcasts
    5
    WileyThePodcaster
    United States4 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Some critiques mention a lack of diversity in guest perspectives, indicating a desire for a broader range of voices on certain topics.
Listeners appreciate the practical insights and actionable advice shared by the host and guests on data application and leadership.
Positive feedback highlights the engaging interviewing style that makes complex topics relatable and understandable.

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Talking Points

Recent interactions between the hosts and their guests.

How to Choose, Use, and Trust AI Models with Manav Gupta, Vice President and CTO, IBM Canada {Replay}
Q: What's true, but nobody agrees with you on?
We are going to create conditions where we are leaving many people behind unless there is some light-touch regulation in place.
How to Choose, Use, and Trust AI Models with Manav Gupta, Vice President and CTO, IBM Canada {Replay}
Q: Where do you go to learn?
I learn by experimenting, writing code every day, and using resources like YouTube to cherry pick specific talks or sections from leading thinkers.
How Do You Build AI That Actually Works 99.999999% of the Time? With Tina Tarquinio Chief Product Officer of IBM Z and LinuxONE
Q: What makes product management for mainframes different from product management for SaaS or mobile apps?
Mainframe product management involves addressing established client needs, managing long hardware development timelines, and ensuring non-disruptive upgrades due to the critical nature of mainframe workloads.
How Do You Build AI That Actually Works 99.999999% of the Time? With Tina Tarquinio Chief Product Officer of IBM Z and LinuxONE
Q: Could you talk about how the mainframe fits into the hybrid cloud world?
Mainframes can superpower hybrid cloud systems by exposing data through APIs and facilitating secure connections, ensuring that clients can leverage existing mainframe investments within a cloud infrastructure.
How Do You Build AI That Actually Works 99.999999% of the Time? With Tina Tarquinio Chief Product Officer of IBM Z and LinuxONE
Q: What do you think is the most surprising thing you've learned about the mainframes since you've been a part of them?
The most surprising thing is how clients take IBM technology and turn it into use cases that can exceed expectations, showing just how versatile and impactful the technology can be.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Making Data Simple

What is Making Data Simple about and what kind of topics does it cover?

This podcast presents insightful conversations that explore how data and AI are transforming modern enterprises. Episodes feature a range of experienced professionals, including thought leaders, researchers, and innovators who share valuable lessons about leading teams, scaling analytics efforts, and achieving impactful business outcomes. The engaging format, often characterized by wit and straightforwardness, facilitates access to complex topics, making it suitable for professionals looking to leverage data for enhanced decision-making in their organizations. Unique to this resource is its blend of technical knowledge and practical advice, catering to those interested in the intersection of technology, business, and leadership.

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How many listeners does Making Data Simple get?

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What are the audience demographics for Making Data Simple?

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How many subscribers and views does Making Data Simple have?

To see how many followers or subscribers Making Data Simple has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Making Data Simple?

These podcasts share a similar audience with Making Data Simple:

1. The a16z Show
2. Pivot
3. Tech Brew Ride Home
4. Hard Fork
5. The Ezra Klein Show

How many episodes of Making Data Simple are there?

Making Data Simple launched 7 years ago and published 377 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Making Data Simple?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Making Data Simple?

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What guests have appeared on Making Data Simple?

Recent guests on Making Data Simple include:

1. Megan Gallagher
2. Tina Tarquinio
3. Kris Kluver
4. Douwe Kiela
5. Richmond Alake
6. Ajay Kulkarni
7. Deepti Srivastava
8. Fred Joyal

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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