ABOUT THIS PODCAST 🔗
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 AI breakthroughs to leadership hacks, top experts drop actionable gems that help businesses thrive in a data-driven world. #MakingDataSimple #AI #Leadership
Hosts:
Update frequency:
weekly
Average audio length:
32 minutes
Guest interviews
English
United States
713 episodes
since Aug. 1, 2012
episodic
AUDIENCE OF THIS PODCAST 🔗
~66.24% of listeners are from United States.
🇺🇸
US
66.24%
🇰🇼
KW
8.07%
🇿🇦
ZA
4.61%
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BR
3.03%
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FR
2.72%
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DE
2.41%
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GB
2.41%
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IN
1.67%
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CA
1.25%
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PK
1.04%
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PH
0.62%
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PL
0.52%
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IE
0.52%
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MX
0.52%
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ID
0.41%
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MY
0.41%
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AE
0.41%
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PT
0.31%
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IL
0.31%
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MC
0.31%
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AR
0.31%
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NL
0.20%
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AU
0.20%
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ZM
0.20%
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VN
0.10%
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GT
0.10%
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BG
0.10%
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SG
0.10%
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ES
0.10%
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RO
0.10%
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KE
0.10%
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TR
0.10%
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CR
0.10%
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PE
0.10%
🇹🇼
TW
0.10%
Others
0.20%
* Data source: directly measured on Listen Notes. real-time
LATEST EPISODE 🔗
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Ever wondered why brilliant CEOs sometimes seem to stall? Andrea Petrone’s groundbreaking work reveals that success can actually become a trap, freezing leaders into outdated identities. In this episode we unpack Andrea’s 20+ years coaching over 250 CEOs – including those at Shell …
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PREVIOUS EPISODES 🔗
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Most companies have bought the AI tools. Far fewer have changed how the work actually gets done. Ashley Gross, Founder & CEO of the AI Workforce Alliance and author of The AI Workweek, joins Al Martin to close that gap.Ashley used AI to cut her own workweek from 40 hours to 15.…
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Unlock your full potential with Kate Mayne, Executive Coach and data expert! In this episode, Kate dives into the surprising ways our behaviors impact our data, offering actionable strategies for clarity and growth – insights you can put into practice today. Learn how to leverage y…
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Dive into the powerful world of mainframes! Chief Product Officer of IBM Z and LinuxONE, Tina Tarquinio, reveals the truth behind those eight nines of uptime and explores how mainframes are evolving with AI, hybrid cloud, and future-proofing strategies for mission-critical business…
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Want to cut through the noise and understand *real* consumer
behavior? Lev Mazin, CEO of aytm—Ask Your Target Market—is here
to challenge the hype around AI and big data. Lev’s spent over a
decade connecting with 100 million consumers, revealing why
human insight is more valuable t…
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ICYMI — revisiting one of our most useful conversations on what AI actually does to the shape of an organization.
How do we make organizations not just run — but run intelligently?
Phanish Puranam, the Roland Berger Chaired Professor of Strategy and Organisation Design at INSEAD, j…
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We dive into the surprising wisdom of retail with Ron Johnson — creator of the original Apple Store, founder of Enjoy Technology, and author of Shop Different. Johnson challenges conventional thinking about the future of physical spaces, arguing that the human element — and the pow…
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Phillip Swan is a dynamic, forward-thinking leader renowned for turning complex challenges into strategic opportunities. As Chief Product and Go-to-Market (GTM) Officer at The AI Solution Group, Phillip blends customer-centric go-to-market strategies with cutting-edge product devel…
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This episode unpacks IBM's ambitious AI Operating Model. We dig into everything from sales training strategies to architecture advantage, drawing on insights gathered through instrumented training programs.
01:44 Meeting The Team
04:17 Architecture Advantage
13:06 Death by…
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What if AI could tap into live operational data — without ETL or RAG? In this episode, Deepti Srivastava, founder of Snow Leopard, reveals how her company is transforming enterprise data access with intelligent data retrieval, semantic intelligence, and a governance-first approach.…
Disclaimer: The podcast and artwork embedded on this page are from Making Data Simple, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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