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OpenAI

What Codex Unlocks for loveholidays

プラットフォーム
YouTube
長さ
3:32
話されている言語
アメリカ英語
再生数
6258
カット間隔の中央値
2.92s
顔の映る割合
85%
暗いフレーム
0%
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What Codex Unlocks for loveholidays の文字起こし

ブランドが書いたものではなく、映像の音声から音声モデルが書き起こしたものです。行をクリックすると、その瞬間に移動します。

  1. 0:00The more you can hand off a lot of the work to AI to do for you, your job elevates.
  2. 0:05Your job isn't anymore to be handed a solution and implement it.
  3. 0:08You've got something else to do for you now.
  4. 0:10You have to get involved in the business problem.
  5. 0:17I'm Mike Jones, I'm CTO at Love Holidays, but I've also looked after the contact centre here for the last four years too.
  6. 0:23Love Holidays is a leading online travel agent.
  7. 0:25We operate in eight different countries across Europe.
  8. 0:28we use our technology to process trillions, well 60 trillion package combinations each day to help
  9. 0:32people find their perfect holiday. At Love Holidays our platform vision is to build the general
  10. 0:39intelligence for travel. Bringing together the great technology that we have with the people
  11. 0:43expertise and Codex is basically the means that we're democratizing all of that work across the
  12. 0:48organization. At Love Holidays Codex is becoming a single control plane, a single interface that is
  13. 0:57shared by engineers, by data scientists and by business.
  14. 1:01It has a lot of power through that because you no longer need to teach everyone a different tool.
  15. 1:08We codify all the best practices. We codify validation. We continuously approve it each time
  16. 1:14we notice that actually we had the wrong assumptions or the reality has changed. This
  17. 1:18means that expertise of data engineers or cloud infrastructure engineers is fully codified so
  18. 1:24the best they know, it's now also available to Codex and therefore anybody self-serving
  19. 1:30their infrastructure data needs get that expertise on top 24x7.
  20. 1:37We want to decouple our ability to trial new ideas from actual engineering time.
  21. 1:43Our engineers developed a portal called Search Playground, which is using our design systems
  22. 1:49that uses our front-end technologies and it has an interface to Codex.
  23. 1:54We have developed more than 10 different novel search experience.
  24. 2:00Majority of those were developed by non-engineers.
  25. 2:02What they provide is an ability to have an idea,
  26. 2:06materialize it into a real website that's running,
  27. 2:08share the same websites with external customers,
  28. 2:11gather their feedback, or actually launch real experiments on our website.
  29. 2:17Over the last year, AI-assisted coding has gone from essentially zero
  30. 2:21to about 80% of all of our code.
  31. 2:23and that's helped us actually go a lot faster than we've done previously.
  32. 2:26In that time, we've increased deploys by about 73%
  33. 2:30with the headcount remaining broadly the same.
  34. 2:33We doubled the amount of changes down to our data,
  35. 2:37yet we have half as many support requests coming in.
  36. 2:40Users of our data platform can make a lot more changes autonomously,
  37. 2:46whilst data infrastructure engineers can spend more time actually improving the platform,
  38. 2:50making it smoother again or solving novel problems that we couldn't address previously.
  39. 2:56Technology is just a means to an end. It's not about the technology itself,
  40. 3:00it's about the impact that it has. Making sure that we're really intentional about
  41. 3:04not just giving people access to the tools but helping them solve business problems and
  42. 3:07measuring the impact that they're having. Everybody is a builder. Making changes to our
  43. 3:13applications, infrastructure and deploying code is no longer engineering-only activity. We have
  44. 3:18product managers, designers and commercial business stakeholders driving value and making deployments.
44行 · 542語

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