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Orbition Group द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Orbition Group या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal
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S4 | Ep 24 | GenAI: From Use Case to Production in 8 weeks with Chris Bannocks, Group Chief Data Officer at QBE Insurance

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Manage episode 412776228 series 2806428
Orbition Group द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Orbition Group या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

In Episode 24, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Chris Bannocks, Group Chief Data Officer at QBE Insurance, where they discuss how they are productionising GenAI use cases from scratch within 8 weeks, which includes;

  • Being a CDAO/Group CDAO in multiple organisations/sectors
  • The importance of international experience
  • Being allergic to the term ‘data strategy’
  • The impact that Gen AI will have on business
  • Why GenAI/AI isn’t the solution to every problem
  • Harnessing the value that GenAI can bring
  • The top and bottom line opportunities of GenAI
  • Why GenAI raises the stakes further for D&A teams
  • The requirements of the semantic understanding of your data organization
  • Going fast and hard on one opportunity to prove it could be done
  • Using different mediums to gather 300 potential use cases
  • Building things to be reusable and scalable
  • Measuring the addressable opportunity
  • Why they didn’t have to quantify the value before they got started
  • Standing up a technical spike within 6 days to show what could possibly be done
  • Having a 12 week deadline to get it done from a standing start with no capability
  • How that capability has now reduced time to production to 8 weeks
  • The collaboration needed with each leader from different business units
  • The importance of creating a working product in production
  • Why they avoided focusing on efficiency and focused on increasing revenue instead
  • Avoiding enthusiastic experimentation
  • Why tight deadlines helped to make decisions quickly and focus on scope/MVP
  • Why you should never start a piece of work without input from business stakeholders
  • The challenge of ethical and bias considerations
  • How they tackled GenAI education across the organisation
  • The importance of having a human in the loop
  • Building a team that can deliver
  • Top pieces of advice for anyone about to embark on this journey

  continue reading

180 एपिसोडस

Artwork
iconसाझा करें
 
Manage episode 412776228 series 2806428
Orbition Group द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Orbition Group या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal

In Episode 24, of Season 4, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Chris Bannocks, Group Chief Data Officer at QBE Insurance, where they discuss how they are productionising GenAI use cases from scratch within 8 weeks, which includes;

  • Being a CDAO/Group CDAO in multiple organisations/sectors
  • The importance of international experience
  • Being allergic to the term ‘data strategy’
  • The impact that Gen AI will have on business
  • Why GenAI/AI isn’t the solution to every problem
  • Harnessing the value that GenAI can bring
  • The top and bottom line opportunities of GenAI
  • Why GenAI raises the stakes further for D&A teams
  • The requirements of the semantic understanding of your data organization
  • Going fast and hard on one opportunity to prove it could be done
  • Using different mediums to gather 300 potential use cases
  • Building things to be reusable and scalable
  • Measuring the addressable opportunity
  • Why they didn’t have to quantify the value before they got started
  • Standing up a technical spike within 6 days to show what could possibly be done
  • Having a 12 week deadline to get it done from a standing start with no capability
  • How that capability has now reduced time to production to 8 weeks
  • The collaboration needed with each leader from different business units
  • The importance of creating a working product in production
  • Why they avoided focusing on efficiency and focused on increasing revenue instead
  • Avoiding enthusiastic experimentation
  • Why tight deadlines helped to make decisions quickly and focus on scope/MVP
  • Why you should never start a piece of work without input from business stakeholders
  • The challenge of ethical and bias considerations
  • How they tackled GenAI education across the organisation
  • The importance of having a human in the loop
  • Building a team that can deliver
  • Top pieces of advice for anyone about to embark on this journey

  continue reading

180 एपिसोडस

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