All Posts

[Earley AI Podcast] Episode 15, Tom Davenport

In this episode, Seth and Chris talk with Tom Davenport, author of The AI Advantage How to put the artificial intelligence revolution to work.

 

 

 

Highlights:

4:40 On getting started in this space

7:47  What is most important today for organizations that are trying to operationalize AI 

16:05 How organizations are doing in the human collaboration space and knowledge space

21:26  What is slowing organizations down…is it infrastructure or understanding? 

31:40 Do organizations need to get ahead of the curve for augmented reality

34:12 Tom's take on Gartner’s prediction on Knowledge Management for AI…the largest growing segment and the largest spend 

40:08  Customer experience and personalization…are you seeing organizations doing that effectively? 

46:56 Democratization of AI 

50:30 What is in store for 2022

Links:

Thanks to our sponsors:

Earley Information Science Team
Earley Information Science Team
We're passionate about enterprise data and love discussing industry knowledge, best practices, and insights. We look forward to hearing from you! Comment below to join the conversation.

Recent Posts

[Earley AI Podcast] Episode 31: Kirk Marple

It’s All About the Data Guest: Kirk Marple

[Earley AI Podcast] Episode 30: Alex Babin

The Holy Grail of AI Guest: Alex Babin

The Critical Element of Foundational Architecture

Recently I chaired the Artificial Intelligence Accelerator Institute Conference in San Jose – in the heart of Silicon Valley.  The event has brought together industry innovators from both large and small organizations, providing a wide range of perspectives. For example, the CEO of AI and ML testing startup of Kolena, Mohamed Elgendy and Srujana Kaddevarmuth, Senior Director, Data & ML Engineering, Customer Products, Walmart Global Tech discussed productization of AI solutions and ways to increase adoption. I especially liked the idea of a model catalogue from which data scientists can retrieve data sets and machine learning models that others have built rather than starting from scratch.