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Debanjan Saha

15 facts from 1 episode, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.

Undated

Debanjan Saha says DataRobot treats agents like human employees, with a lifecycle of interviewing, evaluating, hiring, onboarding, performance management and decommissioning.

“you interview them, you evaluate them, you hire them, you then onboard them, and then you performance manage them, and then, you know, sometimes they leave and you decommission them, right?”

Debanjan Saha · Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot, 0:11:27

Undated

Debanjan Saha says that when an agent is decommissioned, someone must take over its work, context and memory, as when a human employee leaves.

“when you decommission an agent, like the way when a human employee leaves, somebody has to pick up that work, that context, that memory, and you have to do that, right?”

Debanjan Saha · Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot, 0:12:46

Undated

Debanjan Saha describes insurance claim processing where customers upload video of car damage and agents analyze it, match it to policies and schedule repairs.

“Today, you have customers who will take their camera and then, uh, go and take a video of their car if they're in an accident and upload that, and lot of that is going to be automated.”

Debanjan Saha · Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot, 0:16:12

Undated

Debanjan Saha says actions in a hybrid workforce may be taken by humans, by agents on behalf of humans, or by agents acting autonomously, and each must be attributable.

“sometime people are going to take action, sometime agents on behalf of the people are going to take action, and sometime agents autonomously are going to take actions, right?”

Debanjan Saha · Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot, 0:24:26

Undated

Debanjan Saha says agents must follow domain-specific and jurisdiction-specific policies and produce artifacts that maintain an audit trail.

“there are domain-specific and jurisdiction-specific policies that the agents need to know, and sometimes they have to produce artifacts which can maintain an audit trail”

Debanjan Saha · Reengineering Work with Intelligent Agents - with Debanjan Saha of DataRobot, 0:25:36

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