Technology

The Enterprise AI Builders Conference San Francisco 2026

The Enterprise AI Builders Conference, hosted by AI Loves Data (formerly Data Science Salon), brings together the enterprise AI community for technical content, events, webinars, and networking opportunities. Since 2016, the organization has served AI engineers, machine learning practitioners, data scientists, architects, and technology leaders focused on bu…

Visit the official siteSponsorship open
14Speakers
31Sponsors
13On the bill · sessions
42Companies · in total
§I

Speakers

Programmed at The, in alphabetical order.
Anna Anisin
Founder at AI Loves Data · AI Loves Data
Anusha Kovi
Business Intelligence Engineer at Amazon · Amazon
Ashish Shubham
VP Engineering at ThoughtSpot · ThoughtSpot
Daniela Matinho
Senior Marketing Scientist at Linkedin · Linkedin
Dhruv Seth
Staff Software Engineer at Walmart Global Tech · Walmart Global Tech
Parth Desai
Lead Product Manager at Intuit · Intuit
Pranidhi Prabhat
Senior Manager, Data Science & Analytics at Expedia · Expedia
Praveen Paramasivam
Senior AI/ML Engineer at Optum Heathcare · Optum Heathcare
Rama Krishna Raju Samantapudi
Sr. Staff AI/ML Architect at ServiceNow · ServiceNow
Sahil Yadav
Head of Software and AI at AOI · AOI
Sanghamitra Deb
Sr Machine Learning Manager at Adobe · Adobe
Shankar Krishnan
Product Leader - AI at Stripe · Stripe
Shouvik Sharma
Data Engineer at Chime Financial Inc. · Chime Financial Inc.
Snehal Bhole
Director, Data Science - Al, Personalization & Recommendation at Expedia · Expedia
§II

Sponsors

The houses behind the program. Tiers as disclosed.
Anaconda
AWS
Comet
Databricks
DatafloqPartner
DataIku
ecosystem.Ai
Eigen Technologies
Financial Data Professional InstitutePartner
Financial ITPartner
Fivetran
Foursquare
Galileo
Google
Home Depot
IBM
JohnSnowLabs
Katana Graph
Monte Carlo
MonteCarlo
MS Analytics (Texas A&M University Mays Business School)
NYC Media LabPartner
Oracle
Pinecone
R-LadiesPartner
Singlestore
S&P Global
SP Global
TigerGraph
Vertica
Women in DataPartner
§III

Agenda

Selected from 13 sessions on the bill.
  • 10:00 – 10:30am PST

    MicroAgents: The Microservices of the Agentic Era

    On a whiteboard, an AI agent is simple: Prompt + Tools + Model. In production it explodes into twenty terms of infrastructure: sessions, streaming, memory, auth, tracing, orchestra…

  • 10:30 – 11:00am PST

    Voice Is the Hardest Input for AI to Get Right – And the One That Matters Most

    Most enterprise AI agents fail not because of bad reasoning but because they cannot reliably understand what customers say. This session breaks down what actually breaks in product…

  • 11:00 – 11:20am PST

    AI Adoption Beyond the Hype

    Every enterprise has AI pilots. Far fewer have enterprise-wide adoption. Drawing on experiences at Snapchat, Meta, and PepsiCo, Daniela shares what separates successful AI initiat…

  • 11:40 – 12:10pm PST

    Evaluating Agentic Systems for Business Outcomes: Beyond Traditional Model Metrics

    As Agentic AI transforms customer-facing experiences across e-commerce, the difference between shipping with confidence and shipping blind often comes down to one capability: evalu…

  • 12:10 – 12:40pm PST

    From Reactive to Autonomous: Architecting Real-Time, Self-Healing Systems with Streaming + Agentic AI

    The convergence of AI and data streaming is redefining operational resilience. As modern systems become increasingly distributed and dynamic, enterprises need more than monitoring,…

  • 12:40 – 1:00pm PST

    Building Cost-Efficient, AI-Ready Data Infrastructure at Scale

    Modern AI systems are only as strong as the data infrastructure behind them. As organizations adopt machine learning, generative AI, analytics automation, and real-time decision sy…

  • 2:00 – 2:40pm PST

    Panel: From RAG to Autonomous Enterprises: What’s Next?

  • 2:40 – 3:10pm PST

    From RAG to Agentic AI: Enterprise Design Patterns for Building Multi-Agent Systems at Scale

    Enterprise adoption of Generative AI has largely started with Retrieval-Augmented Generation (RAG) systems that enhance large language models with organizational knowledge. While R…

  • 3:10 – 3:30pm PST

    The AI Analytics Reliability Stack: Guardrails, Grounding, Evals, Lineage, and Human Feedback

    AI analytics fails in production when teams treat reliability as a model problem instead of a system problem. A BI copilot or analytics agent can have a strong model, good prompts,…

Intermission
Part the Second · For the Buyer

An audience of 42 companies, parsed from the program.

42 companies in attendance.

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.

Who's in the room
0All threespeak · spons · exh
29Sponsoringsponsor only
13Companies Speakingspeaker only
Speakers by seniority

29% of the speakers carry senior titles: C-suite, Founder, VP, or Director-level.

  • Founder / Owner17%
  • VP-level17%
  • Director / Head of214%
  • Manager / Lead429%
  • Product17%
  • Engineer · IC321%
  • Research / Science17%
  • Other roles17%

Of 14 on the bill · classified by free-text title

Most-represented companies
  1. 01AnacondaSp
  2. 02AWSSp
  3. 03CometSp
  4. 04DatabricksSp
  5. 05DatafloqSp·P
  6. 06DataikuSp
  7. 07ecosystem.AiSp
  8. 08Eigen TechnologiesSp
  9. 09Financial Data Professional InstituteSp·P
  10. 10Financial ITSp·P
  11. 11FivetranSp
  12. 12FoursquareSp
  13. 13GalileoSp
  14. 14GoogleSp
Sponsors by tier
partner6
19% of 31
unspecified25
81% of 31
At peer events but not here

These companies sponsored two or more peer events recently, but aren't on this program. For an organizer, that's a list of warm prospects.

Related events · by shared sponsors