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A tartalmat a Orbition Group biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Orbition Group vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.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
A tartalmat a Orbition Group biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Orbition Group vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.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

187 epizódok

Artwork
iconMegosztás
 
Manage episode 412776228 series 2806428
A tartalmat a Orbition Group biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Orbition Group vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.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

187 epizódok

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