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  • Engineering 101: Data, Prompt, Context, and When to Hand It Back

Event details

Engineering 101: Data, Prompt, Context, and When to Hand It Back

  • 10/22/2026
  • 2:30 PM - 5:30 PM
  • University of Denver (Reiman Theater in Margery Reed Hall) 2306 E. Evans Ave, Denver, CO 80210

Registration

  • In person ticket for Non-Members for all events.
  • Virtual ticket for Non-Members for all events.
  • "In Person" ticket for vendor individual representatives for all events.

Register

Prompt Engineering 101. Understanding How to Talk to AI | by Neeraj Maheshwari | Data Engineer Things

Join DAMA-RMC 

for

Engineering 101: Data, Prompt, Context, and When to Hand It Back 

When:  Thursday, October 22nd - 2:30pm-5:30pm 

Location: University of Denver (Reiman Theater in Margery Reed Hall)

Address: 2306 E. Evans Ave, DenverCO 80210

Price :   Log-in to receive membership pricing!

  • Professional Members: Always Complimentary & Free!
  • Guest Members: First In-Person event $0, In-Person $20, Virtual $10
  • Non-members: In-Person $25, Virtual $15

Many organizations treat AI as a prompt problem. Data teams know it is a data problem. This session walks the difference between a data engineer, a prompt engineer, and a context engineer, then the part people skip: the stop rule. How do you know the model should quit and hand the work back to a person? We use contra-examples, not just happy-path metrics, and we attach ROI to the gate instead of forecasting a science project. Conversational, vendor-agnostic, built for a DAMA room.

What the room leaves with
1. A plain-language map of the three roles, including the why.
2. Five questions that tell you when to stop the machine.
3. A way to prove the value of a human gate, not just estimate it.

Nathan Platter

Nathan Platter is a Lincoln-based data and AI practitioner with 13+ years inside Fortune 500 analytics teams, including NBCUniversal, 3M, Sleep Number, and SAP Concur. He builds compliance-aware AI workflows live on stage, works in enterprise AI data management, and runs Platter Analytics.

Event Parking:

Available at the Evans Garage (corner of Evans & S. High Street) and is $2 per hour. ParkMobile app available (https://parkmobile.io/).

Campus Map: https://www.du.edu/site-utilities/maps

Other Details:

Join DAMA-RMC at the University of Denver.

Light refreshments and snacks will be provided. 

Doors open at 2:00pm for networking and presentations begin promptly at 2:30pm.


Event followed by a 'Pint of Data' Happy hour at Crimson & Gold

Address: 2017 S. University Blvd, Denver, CO 80210

Event table/booth and other sponsorship and job promotion opportunities available. See Sponsor Benefits for more information.

Contact PartnershipsVP@damarmc.org to book your space at a future event. 



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