Data Con LA 2026

August 22, 2026

California State University, Long Beach

AI is reshaping the work. Not theoretically, not eventually — right now. Data engineers are rethinking pipelines. Analysts are questioning what's still worth doing by hand. Data scientists are watching tools do in seconds what used to take weeks. And everyone's trying to figure out where they fit.

Data Con LA 2026 is built around that question — the real, practical, sometimes uncomfortable conversation about what the data profession looks like from here. We're back at CSU Long Beach for our 14th year. Same community, same commitment to substance over hype.

The 2026 lineup is live. Browse the sessions, talks and panels spanning four tracks (AI/ML and data science, data engineering, business analytics, and data careers), and meet the speakers joining us from across the community.

Tracks

AI/ML & Data Science Models, methods, and the evolving toolkit for applied machine learning and data science.
Data Engineering Infrastructure, pipelines, and the systems that make everything else possible.
Business Analytics & Reporting Turning data into decisions, and making sure the right people see the right information.
Data Career Development Navigating the profession: skills, hiring, growth, and what employers actually need.

Panel Discussions

AI in Practice

Practitioners talk honestly about where AI is genuinely changing data work, where it is oversold, and what it actually takes to ship it. Panelists to be announced.

Building a Data Career

How data roles are shifting, which skills still matter, and how to build a career that lasts as the tools keep changing. Panelists to be announced.

Women in Data

Leaders across analytics, engineering, and AI share the paths they took, the obstacles they navigated, and how we build a stronger, more representative data community.

Founders in Data

Founders building data and AI companies on going from idea to product, finding early customers, and what this moment means for anyone thinking about starting something. Panelists to be announced.

Speakers

Lucy Abboud

Lucy Abboud

Data Aficionado

Jeff Allen

Jeff Allen

CEO at Flikforge Inc.

Arti Annaswamy

Arti Annaswamy

Director, Commercial Analytics & Business Insights at Warner Bros. Discovery Global Consumer Products

Jake Boggan

Jake Boggan

Founder at Forgetmenaut

Dusan Bosnjakovic

Dusan Bosnjakovic

AI Science - Group Leader at Intuit (presenting independent work)

Guang Cheng

Guang Cheng

Professor at UCLA

Meena Chokkalingam

Meena Chokkalingam

Principal Software Engineer at Zillow

Joshua Cook

Joshua Cook

Data Scientist, Lecturer at Independent Consultant, Caltech CTME

Joseph Cox

Joseph Cox

Sr. Director Data Science and Engineering at Hadrian

Chris Sean Dabatos

Chris Sean Dabatos

Staff Developer Relations Engineer at Fly.io

Suman Debnath

Suman Debnath

Director, Developer Experience and Product at Crusoe

Pooja Doctor

Pooja Doctor

Analytics Lead at Stellar Development Foundation

Christian Entezari

Christian Entezari

Founder and Managing Principal at Entezari Management Consulting

Neal Fultz

Neal Fultz

Data Science Consultant at NJNM, UCLA, Tatari

Saritha Ivaturi

Saritha Ivaturi

Founder & President at Code For Good

Michael Jenkins

Michael Jenkins

Lead Software Engineer at The Walt Disney Company

Christina Karaba

Christina Karaba

Founder at yourcore corp

Devyn Miller

Devyn Miller

Big Data ML Engineer, TP-Link Systems Adjunct Professor, Chapman University

Justin Miller

Justin Miller

Senior Software Engineer at LanceDB

Mike Mull

Mike Mull

Owner/Engineer at Ekadanta Labs

Michael Neang

Michael Neang

Business Analyst at Wintrust Specialty Finance

Odessa Reyno

Odessa Reyno

Chapter Director at Women In Big Data

Mahima Sachan

Mahima Sachan

Former Software Engineer at Microsoft

Jyotika Singh

Jyotika Singh

Principal Applied Scientist at Oracle

Heather Sit

Heather Sit

Executive Director at AI LA

Rae Wang

Rae Wang

Associate Director, Optum Health Analytics - Clinical at Optum

Sessions

Browse All Sessions

Also This Year

Lightning Talks. A fast-paced block of short talks, a lot of ideas in a little time.

Resume Review Table. New for 2026: hiring managers and recruiters giving quick, honest takes on resumes. Job hunting? Bring a copy.

Match & Mingle. Opt in at registration to be paired with another attendee — or a small group — based on shared interests and background. A nudge toward connections that outlast the day.

Day Of

8:00 AM Doors open. Registration and morning refreshments.
9:00 AM Opening keynotes.
10:30 AM Morning track sessions.
12:15 PM Networking lunch, provided.
1:15 PM Afternoon track sessions.
4:00 PM Community mixer and closing networking.

Supported By

Host

CSULB Institutional Research & Analytics

Gold

TabsdataUCLA MASDS

Silver

UCSD - MSBAWare Valley

Partner

AILAISSA-LAOWASP Los AngelesWomen In Big Data SoCal Chapter
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