Making Data Simple

Al Martin
almartintalksdata@gmail.com

Booking Overview

Enterprise-focused data/AI interviews with top technologists and founders; IBM-branded show that features deep-dive conversations, offering practitioners a platform to showcase expertise and real-world impact. PR pros can leverage the long-form format and guest roster to position clients as industry authorities; outreach is via email to pitch guest opportunities.

Metrics

367 episodes, Weekly, 4.5 rating
<1k, Male, USA

Contact Information

almartintalksdata@gmail.com

Description

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&nbsp;today.&nbsp; 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

Production Team

Host

Al Martin

Categories

Entrepreneurship, Business, Technology, Careers, Management, Marketing, Self-Improvement

Booking Intelligence

Booking Requirements

moderate difficulty
Typical Credentials:  
Senior data/AI/tech leaders, founders, or recognized experts with public speaking experience
Required Achievements:  
Open-source leadership or significant ecosystem influence, Founding or leading data/AI companies, Notable industry contributions or media appearances

Recent Guest Discussions

Richmond Alake - RAG Best Practices, AI Databases, AGI Hype, Peter Wang - Python Ecosystem, AI Incubator, Genai, Branding And Security, Ajay Kulkarni - Time-series Databases, Ai-driven Automation, Iot Data, Deepti Srivastava - Live Data Access, Semantic Intelligence, Governance-first Architecture, Fred Joyal - Boldness, Networking, Leadership, Anxiety Reduction

Recent Topics

data, ai, leadership, databases, data pipelines, time-series, governance, open source, enterprise tech, live data
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