Amazon Web Services839 тыс
Опубликовано 14 ноября 2025, 15:59
Join Dwayne Browne and Tey Bannerman, former McKinsey Partner and design leader, for a grounded conversation about how human centred design helps AI deliver real value inside organisations.
They explore what happens when empathy meets execution, when creative ambition meets business reality, and how design leadership is turning inward to reshape how teams actually work. Drawing on his experience across banking, retail, and transformation programmes, Tey shares lessons on balancing curiosity with delivery and building teams that connect design, data, and engineering.
The discussion ranges from the now famous “purple vegetable test” to why empathy alone is not enough and how understanding intent changes the way AI interacts with people. As Dwayne puts it, Tey “encourages his customers to think out of the box, but not out of this world”, a reminder that the best innovation still needs to fit real human lives.
A thoughtful exchange for anyone trying to bridge design, technology, and the everyday realities of transformation.
Timestamps:
00:00 Intro and welcome
05:55 How clients engage consultants at different stages of the problem
06:46 Setting direction vs executing work under time pressure
08:43 Different vantage points across the value chain
10:14 Blending design, engineering, and strategy across a career
12:51 Curiosity, stubbornness, and doing the work you’re not asked to do
13:05 Philosophy meets pragmatism in design
15:28 When process thinking betrays outcomes
18:31 Design leadership and the idea of the “new front door”
20:06 How brands and design roles evolve in an AI-driven ecosystem
24:59 Design turning inward and going operational
25:37 Why internal design work improves company performance
31:09 The designer’s mindset vs the implementer’s mindset
32:58 Time-to-value and why alignment takes time
40:12 Empathy is not enough
43:00 The “Purple Vegetable Test” and understanding intent
46:32 The cost of getting that last 20 percent right
52:37 The future of banking and challenger models
55:28 Closing reflections and evolution in thinking
55:59 Outro and thanks
Explore More:
• Learn more about Tey Bannerman: teybannerman.com
• AWS AI & Optimization Case Studies – go.aws/43ulqfp
• AWS Data Strategy Team - aws.amazon.com/data/datastrate...
Subscribe to AWS: go.aws/subscribe
Create a free AWS account: go.aws/signup
Try AWS for free: go.aws/free
Connect with an expert: go.aws/contact
Explore more: go.aws/more
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance.
#AWS #AmazonWebServices #CloudComputing
They explore what happens when empathy meets execution, when creative ambition meets business reality, and how design leadership is turning inward to reshape how teams actually work. Drawing on his experience across banking, retail, and transformation programmes, Tey shares lessons on balancing curiosity with delivery and building teams that connect design, data, and engineering.
The discussion ranges from the now famous “purple vegetable test” to why empathy alone is not enough and how understanding intent changes the way AI interacts with people. As Dwayne puts it, Tey “encourages his customers to think out of the box, but not out of this world”, a reminder that the best innovation still needs to fit real human lives.
A thoughtful exchange for anyone trying to bridge design, technology, and the everyday realities of transformation.
Timestamps:
00:00 Intro and welcome
05:55 How clients engage consultants at different stages of the problem
06:46 Setting direction vs executing work under time pressure
08:43 Different vantage points across the value chain
10:14 Blending design, engineering, and strategy across a career
12:51 Curiosity, stubbornness, and doing the work you’re not asked to do
13:05 Philosophy meets pragmatism in design
15:28 When process thinking betrays outcomes
18:31 Design leadership and the idea of the “new front door”
20:06 How brands and design roles evolve in an AI-driven ecosystem
24:59 Design turning inward and going operational
25:37 Why internal design work improves company performance
31:09 The designer’s mindset vs the implementer’s mindset
32:58 Time-to-value and why alignment takes time
40:12 Empathy is not enough
43:00 The “Purple Vegetable Test” and understanding intent
46:32 The cost of getting that last 20 percent right
52:37 The future of banking and challenger models
55:28 Closing reflections and evolution in thinking
55:59 Outro and thanks
Explore More:
• Learn more about Tey Bannerman: teybannerman.com
• AWS AI & Optimization Case Studies – go.aws/43ulqfp
• AWS Data Strategy Team - aws.amazon.com/data/datastrate...
Subscribe to AWS: go.aws/subscribe
Create a free AWS account: go.aws/signup
Try AWS for free: go.aws/free
Connect with an expert: go.aws/contact
Explore more: go.aws/more
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance.
#AWS #AmazonWebServices #CloudComputing
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