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S2E3 - Three Lessons Every Data Leader Should Steal from Quantum-Inspired Thinking" at IRIS

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Manage episode 476252139 series 3594170
Content provided by Aaron Phethean. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aaron Phethean or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we reveal how IRIS Software is borrowing principles from quantum computing to build data systems that are adaptable, explainable, and innovation-friendly—without compromising business-as-usual.

This conversation with David Draper offers a rare inside look at how a major enterprise balances legacy systems with forward-thinking experimentation.

You’ll learn how modular architecture, protected innovation time, and explainable AI are reshaping the way IRIS builds its data infrastructure. If you’re a data leader trying to scale without spiralling into chaos, this is the episode to watch.

David Draper is the Data Science Manager at IRIS Software Group, where he leads a high-performing team at the intersection of engineering, analytics, and emerging tech. With a background in education and a passion for quantum computing, David brings a unique lens to the challenges of modern data strategy.

Timestamps and Takeaways
✔️04:42 – From Classroom to Data Strategy
David’s journey from education to enterprise data science
→ Leverage curiosity and teaching mindset to lead technical teams with clarity and empathy

✔️09:15 – Why Quantum Thinking Isn’t Just for Physicists
How quantum logic helps IRIS reimagine compute and decision-making
→ Adopt non-linear thinking to structure smarter, more adaptable infrastructure

✔️14:08 – Designing Modular Systems for Innovation Without Risk
How IRIS builds infrastructure that allows safe experimentation
→ Create sandbox-style systems to test and deploy without affecting BAU

✔️19:22 – Ring-Fencing Innovation Time Inside a Busy Enterprise
Balancing research and delivery with “go wide, then narrow” phases
→ Allocate structured exploration time to prevent constant firefighting

✔️24:50 – The Real ROI of Explainable AI
Why clarity builds trust and momentum across the business
→ Choose tools your stakeholders understand to drive adoption and reduce resistance

✔️30:30 – Building Teams That Experiment Responsibly
How culture, structure and trust shape IRIS’s approach to innovation
→ Foster autonomy while staying aligned to business goals

Why Listen

This episode is for data leaders, architects, and CTOs who want to scale responsibly, embed innovation, and prepare for what’s next—without being distracted by hype. It’s a tactical, grounded conversation that offers immediately applicable ideas.

🔔 Subscribe to Data Matas for more real conversations with data leaders.
💬 What’s one lesson from David’s approach you’d apply to your own team? Drop your thoughts in the comments.
🎧 Available on YouTube, Spotify, Apple Podcasts, and all major platforms.

Links
🔗 David Draper on LinkedIn: https://www.linkedin.com/in/david-draper-b715aa46/
🔗 IRIS Software Group: https://www.linkedin.com/company/iris-software-group/
🌐 Listen to more episodes: https://pod.link/1763791020
📚 Matatika resources: https://www.matatika.com/library/
📺 Watch more episodes: https://www.matatika.com/podcasts/

  continue reading

12 episodes

Artwork
iconShare
 
Manage episode 476252139 series 3594170
Content provided by Aaron Phethean. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Aaron Phethean or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode, we reveal how IRIS Software is borrowing principles from quantum computing to build data systems that are adaptable, explainable, and innovation-friendly—without compromising business-as-usual.

This conversation with David Draper offers a rare inside look at how a major enterprise balances legacy systems with forward-thinking experimentation.

You’ll learn how modular architecture, protected innovation time, and explainable AI are reshaping the way IRIS builds its data infrastructure. If you’re a data leader trying to scale without spiralling into chaos, this is the episode to watch.

David Draper is the Data Science Manager at IRIS Software Group, where he leads a high-performing team at the intersection of engineering, analytics, and emerging tech. With a background in education and a passion for quantum computing, David brings a unique lens to the challenges of modern data strategy.

Timestamps and Takeaways
✔️04:42 – From Classroom to Data Strategy
David’s journey from education to enterprise data science
→ Leverage curiosity and teaching mindset to lead technical teams with clarity and empathy

✔️09:15 – Why Quantum Thinking Isn’t Just for Physicists
How quantum logic helps IRIS reimagine compute and decision-making
→ Adopt non-linear thinking to structure smarter, more adaptable infrastructure

✔️14:08 – Designing Modular Systems for Innovation Without Risk
How IRIS builds infrastructure that allows safe experimentation
→ Create sandbox-style systems to test and deploy without affecting BAU

✔️19:22 – Ring-Fencing Innovation Time Inside a Busy Enterprise
Balancing research and delivery with “go wide, then narrow” phases
→ Allocate structured exploration time to prevent constant firefighting

✔️24:50 – The Real ROI of Explainable AI
Why clarity builds trust and momentum across the business
→ Choose tools your stakeholders understand to drive adoption and reduce resistance

✔️30:30 – Building Teams That Experiment Responsibly
How culture, structure and trust shape IRIS’s approach to innovation
→ Foster autonomy while staying aligned to business goals

Why Listen

This episode is for data leaders, architects, and CTOs who want to scale responsibly, embed innovation, and prepare for what’s next—without being distracted by hype. It’s a tactical, grounded conversation that offers immediately applicable ideas.

🔔 Subscribe to Data Matas for more real conversations with data leaders.
💬 What’s one lesson from David’s approach you’d apply to your own team? Drop your thoughts in the comments.
🎧 Available on YouTube, Spotify, Apple Podcasts, and all major platforms.

Links
🔗 David Draper on LinkedIn: https://www.linkedin.com/in/david-draper-b715aa46/
🔗 IRIS Software Group: https://www.linkedin.com/company/iris-software-group/
🌐 Listen to more episodes: https://pod.link/1763791020
📚 Matatika resources: https://www.matatika.com/library/
📺 Watch more episodes: https://www.matatika.com/podcasts/

  continue reading

12 episodes

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