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S3 | Ep 14| The Role of Responsible AI in Organizational Transformation with Chun Schiros, SVP of Enterprise Data Science Group at Regions Bank
In Episode 14 of Season 3, of Driven By Data: The Podcast, Kyle Winterbottom is joined by Chun Schiros, SVP of Enterprise Data Science Group at Regions Bank, where they discuss the role of responsible AI in organisational transformation, which includes;
- What data innovation in a traditional industry sector looks like
- The role of speed in data innovation
- The opportunity for partnerships between traditional banks and digital banks
- Why scalability beyond individual use cases will be the differentiator for success with AI solutions
- The importance of integration to become an AI-driven organization
- The core challenges of achieving scalability with AI solutions
- The mindset shift of being able to multiply the impact
- The prioritization tradeoff between benefit and cost
- The importance of being truly customer focused
- The guardrails that create a balance between innovation and ethics
- The role of DEI in responsible AI
- Why failure with AI Innovation is absolutely guaranteed
- The excitement around AI versus the fear of things going wrong
- The importance of having a culture where failure is accepted
- Why you shouldn’t think in terms of offense versus defense
- Why buy-in is directly related to the ability to demonstrate how you can help the organisation to meet strategic goals
- Shifting culture to adopt Artificial Intelligence
- Prediction on AI trends over the next 12 months
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By Orbition Group
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In Episode 14 of Season 3, of Driven By Data: The Podcast, Kyle Winterbottom is joined by Chun Schiros, SVP of Enterprise Data Science Group at Regions Bank, where they discuss the role of responsible AI in organisational transformation, which includes;
- What data innovation in a traditional industry sector looks like
- The role of speed in data innovation
- The opportunity for partnerships between traditional banks and digital banks
- Why scalability beyond individual use cases will be the differentiator for success with AI solutions
- The importance of integration to become an AI-driven organization
- The core challenges of achieving scalability with AI solutions
- The mindset shift of being able to multiply the impact
- The prioritization tradeoff between benefit and cost
- The importance of being truly customer focused
- The guardrails that create a balance between innovation and ethics
- The role of DEI in responsible AI
- Why failure with AI Innovation is absolutely guaranteed
- The excitement around AI versus the fear of things going wrong
- The importance of having a culture where failure is accepted
- Why you shouldn’t think in terms of offense versus defense
- Why buy-in is directly related to the ability to demonstrate how you can help the organisation to meet strategic goals
- Shifting culture to adopt Artificial Intelligence
- Prediction on AI trends over the next 12 months
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