Dashboards to Decisions: A Self-Correcting ML Loop with Elastic Observability

​Join the Elastic Washington, D.C. User Group on Wednesday, September 16th for an exciting meetup.

​We’ll feature a presentation from Kritika Berry and Josh Phifer, followed by networking, refreshments, and pizza with the DC tech and Elastic community.

​Date and Time:
Wednesday, September 16th, from 5:30-7:30 pm EDT

​Location:
Elastic Arlington Office - 4100 Fairfax Drive, Ste 500, Arlington, VA 22203

​Parking:

• ​The building’s parking garage is operated by Colonial Parking and is located off N. Randolph Street

• ​Book a spot on SpotHero

• ​A Metro Station is located across the street

​Agenda:

• ​5:30 pm: Doors open; say hi, grab a seat, and eat some food.

• ​6:00 pm: Dashboards to Decisions: A Self-Correcting ML Loop with Elastic Observability - Kritika Berry

• ​6:40 pm: Talk # 2 - Josh Phifer, Principal Solutions Architect at Elastic

• ​7:20-7:30 pm: Networking & refreshments

​Talk Abstracts:
Dashboards to Decisions: A Self-Correcting ML Loop with Elastic Observability - Kritika Berry (Software Engineer)
Most ML pipelines face a drop in accuracy or a spike in latency as it gradually trains which goes unnoticed until someone downstream complains. In this talk I’ll show how I wired Elastic Observability into my ML workflow so the pipeline watches itself: logs, metrics, and traces feed back into the system to catch drift and errors, then trigger corrective action automatically. This session delivers a practical pattern for turning observability data from something you just look at into something that actually fixes your models.