Technology

The Data Science Conference 2026

he Data Science Conference is a beacon for professionals seeking a genuine, sales-free environment to exchange knowledge and insights. Celebrating its 10th anniversary, this event is a testament to its enduring appeal and commitment to the core values of transparency and community. With no vendors, sponsors, or recruiters, the focus is solely on data scienc…

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0Voices

0Underwriters

0Exhibitors

19On the bill · sessions

0Companies · in total

§III

The Programme

Selected from 19 sessions on the bill.

10:30-11:00 AM
Transforming Customer Journey Data into Actionable Insights
10:30-11:00 AM
When Good Data Gets Bad: A Data Science Lens
11:00-11:30 AM
From Models to Outcomes: What It Really Takes to Run Production ML at Scale
11:00-11:30 AM
In the age of AI, what does it actually mean to be a data expert or a specialist?
11:30-12:00 AM
Small Country, Big Ambitions: How Lithuania Inventoried and Integrated Public Sector Data
11:30-12:00 PM
Generative AI in Public Safety: Data Science Innovations and Lessons Learned
1:30-2:30 PM
DISCUSSION PANEL
Panelists discuss and answer questions.
2:30-3:00 PM
Behavioral Economics – Expecting the Unexpected
2:30-3:00 PM
Data Reliability Engineering: Applying SRE Principles to Data Science Platforms

Intermission

Part the Second · For the Buyer

An audience of 0 companies, parsed from the program.

“An audience yet to be tallied.”

The numbers below are derived from the speakers, sponsors, and exhibitors on this page — cross-referenced into one ledger. They are the only thing here that 10times.com cannot tell you.

№ 01Fig. 01 — Composition of the House

0All threespeak · spons · exh

0Sponsoringsponsor only

0Exhibitingexhibitor only

0Speakingspeaker only

№ 03Fig. 03 — The Heaviest in the Room

№ 04Fig. 04 — By Tier

Tiers were not disclosed for this convocation.

The Data Science Conference 2026

Transforming Customer Journey Data into Actionable Insights

When Good Data Gets Bad: A Data Science Lens

From Models to Outcomes: What It Really Takes to Run Production ML at Scale

In the age of AI, what does it actually mean to be a data expert or a specialist?

Small Country, Big Ambitions: How Lithuania Inventoried and Integrated Public Sector Data

Generative AI in Public Safety: Data Science Innovations and Lessons Learned

DISCUSSION PANEL

Behavioral Economics – Expecting the Unexpected

Data Reliability Engineering: Applying SRE Principles to Data Science Platforms

“An audience yet to be tallied.”