Value Driven Data Science

Episode 124: [Value Boost] 8 Disciplines Every Decision System Needs

Share this episode
Anyone with this link can open it.
Share Link
Start at 0:00

This episode isn’t summarized yet

Create a free account and summarize it. In a few minutes you’ll have the key takeaways and a section-by-section summary.

Show notes

Machine learning is what most data scientists know best. But when it comes to building systems that enable better decision-making, machine learning is just one piece of the puzzle. And leaning on it too much can leave your entire decision system exposed.

In this Value Boost episode, Adam DeJans Jr joins Dr Genevieve Hayes to walk through the eight disciplines that make up the modern decision stack and where data scientists should focus to close the gaps in their own skill set.

You'll discover:

  1. The eight disciplines that make up the modern decision stack [01:24]
  2. The most overlooked layer in most decision systems [04:47]
  3. Why optimization textbooks are teaching data scientists the wrong things [06:17]
  4. What to learn next if you want to build better decision systems [09:45]

Guest Bio

Adam DeJans Jr. is a decision scientist and optimisation expert who has led high-stakes decision systems in complex, uncertain environments, at companies including Amazon, Toyota and Ford. He is the co-founder of AI and decision intelligence consultancy Bit Bros and co-author of The Decision Factory: A Novel About Decisions Under Uncertainty.

Links

Couldn't load the audio. A blocker may be stopping the show's tracking links. Open the file