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D22 The 80/20 Rule of AI: Smarter Decisions, Faster Innovation with Craig Turrell
SUMMARY
In this episode of unDUBBED, hosts Sarah Burnett and Fiona Crocker sit down with Craig Turrell, Head of AI and Design at Standard Chartered Bank, to unpack the realities of enterprise AI transformation.
From the concept of AI native architecture to the gap between AI hype and real-world adoption, Craig shares hard-won insights from decades at the cutting edge of AI, machine learning, and data science. In this episode, we explore how enterprises can unlock the real potential of AI by shifting the way they think about technology, failure, and decision-making. The conversation starts with the idea that machines are shaped by how they’re trained and interacted with - which can affect performance, accuracy, and trust.
We dig into why embracing failure is critical for innovation, and how rapid, low-cost experimentation changes the game for enterprises that once saw failure as too expensive. The discussion moves through the pipeline of data → knowledge → insight → decision, highlighting how literacy is often the missing piece in driving action.
The episode also uncovers the symbiotic relationship between AI and BI, showing why they’re stronger together, and explores the push toward 99% machine reasoning with just 1% human oversight. From the 80/20 rule of AI adoption, to the cultural tendencies of different models, to building trust frameworks through blockchain, this is a practical look at how enterprises can move beyond hype and scale AI with confidence.
If you’re navigating the challenges of AI adoption, leadership in data-driven organisations, or the next wave of business intelligence, this conversation is packed with takeaways you can apply today.
Book a free 30 minute session with us and we can get a better understanding of what it is that you’re trying to achieve.
TAKEAWAYS
CHAPTERS
00:00 Introduction to Enterprise AI Transformation
01:40 Craig Turrell's Journey in AI and Innovation
05:17 The Hype Cycle and Reality of AI Implementation
09:10 Understanding Machine Communication and Interaction
12:46 Exploring Machine Personalities and Cultural Influences
18:31 AI Transformations in Banking: A Case Study
26:04 Navigating Innovation in a Regulated Environment
36:17 The Power of Language in Business Communication
37:14 Acceptance of AI in Leadership
39:14 Generative Intelligence vs. Traditional Business Intelligence
40:48 The Importance of Storytelling in Data
42:56 Data Literacy and Its Impact on Decision Making
45:30 Personalizing Business Intelligence for Diverse Needs
46:38 The Future of Business Intelligence
53:54 Leadership and Team Dynamics in the Age of AI
01:01:20 Cultivating a Learning Culture in Organisations
KEYWORDS
AI, enterprise AI, AI native architecture, machine learning, data science, banking innovation, leadership in AI, business intelligence, cultural influences on AI, AI communication.
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By Fiona Crocker & Sarah Burnett | co-founders, dub dub dataSUMMARY
In this episode of unDUBBED, hosts Sarah Burnett and Fiona Crocker sit down with Craig Turrell, Head of AI and Design at Standard Chartered Bank, to unpack the realities of enterprise AI transformation.
From the concept of AI native architecture to the gap between AI hype and real-world adoption, Craig shares hard-won insights from decades at the cutting edge of AI, machine learning, and data science. In this episode, we explore how enterprises can unlock the real potential of AI by shifting the way they think about technology, failure, and decision-making. The conversation starts with the idea that machines are shaped by how they’re trained and interacted with - which can affect performance, accuracy, and trust.
We dig into why embracing failure is critical for innovation, and how rapid, low-cost experimentation changes the game for enterprises that once saw failure as too expensive. The discussion moves through the pipeline of data → knowledge → insight → decision, highlighting how literacy is often the missing piece in driving action.
The episode also uncovers the symbiotic relationship between AI and BI, showing why they’re stronger together, and explores the push toward 99% machine reasoning with just 1% human oversight. From the 80/20 rule of AI adoption, to the cultural tendencies of different models, to building trust frameworks through blockchain, this is a practical look at how enterprises can move beyond hype and scale AI with confidence.
If you’re navigating the challenges of AI adoption, leadership in data-driven organisations, or the next wave of business intelligence, this conversation is packed with takeaways you can apply today.
Book a free 30 minute session with us and we can get a better understanding of what it is that you’re trying to achieve.
TAKEAWAYS
CHAPTERS
00:00 Introduction to Enterprise AI Transformation
01:40 Craig Turrell's Journey in AI and Innovation
05:17 The Hype Cycle and Reality of AI Implementation
09:10 Understanding Machine Communication and Interaction
12:46 Exploring Machine Personalities and Cultural Influences
18:31 AI Transformations in Banking: A Case Study
26:04 Navigating Innovation in a Regulated Environment
36:17 The Power of Language in Business Communication
37:14 Acceptance of AI in Leadership
39:14 Generative Intelligence vs. Traditional Business Intelligence
40:48 The Importance of Storytelling in Data
42:56 Data Literacy and Its Impact on Decision Making
45:30 Personalizing Business Intelligence for Diverse Needs
46:38 The Future of Business Intelligence
53:54 Leadership and Team Dynamics in the Age of AI
01:01:20 Cultivating a Learning Culture in Organisations
KEYWORDS
AI, enterprise AI, AI native architecture, machine learning, data science, banking innovation, leadership in AI, business intelligence, cultural influences on AI, AI communication.