Why Can’t We Be Friends? AI Agent Collaboration in Data Engineering

AI agents are everywhere. And more will be here tomorrow. 

Why?

Customer service improvements, IT resource and performance optimization, and new product development acceleration are just a few benefits.

In a world of agents, where does that leave people? 

Will we become the horse at the advent of the horseless carriage? Or the bookkeeper with the advent of financial software?

Steve Jobs once said, “Great things in business are never done by one person. They’re done by a team of people.”

Today, perhaps Steve would amend his statement to say, “Great things in business are never done by one person. They’re done by a team of people and agents.”

What is the Data Engineering Agent Collaboration Opportunity

Is agent collaboration the future of Data Engineering?  Let’s explore what human and AI agent teaming might look like within the Data Engineering domain.

To explore this opportunity, on May 16, the Insight Jam Session will bring together an expert panel in the session titled Why Can’t We Be Friends? Agent Collaboration in Data Engineering. Register here.

Panelists include:

• Keebo‘s Barzan Mozafari
• TensorStax‘s Aria Attar
• DataOps.live‘s Guy Adams
• McKnight Consulting Group‘s William McKnight

Answering Your Essential Data Engineering Agent Collaboration Questions

This Jam Session will address these critical data engineering agent collaboration strategy questions.

1. What is the state of human/agent collaboration today?
2. Which data engineering tasks are best suited for AI agents and why?
3. Which data engineering tasks remain best done by skilled data engineers and why?
4. Which data engineering tasks are candidates for human/agent collaboration and why?
5. Where are the highest ROI collaboration opportunities?
6. What are the critical considerations for data engineering collaboration success?

See you then and there.

Register to watch live or on-demand at https://lnkd.in/eatQzHY7