AI Practitioner Summit

Key Topics

The AI Practitioner Summit brings together 70 engineering and operations leaders for a candid conversation about where organizations really are in their AI journey. Through honest, experience-based discussions, speakers will share what worked, what didn’t, and what they learned while driving AI transformation inside their organizations.

AI Practitioner Summit

A place to honestly discuss what's working

Summit Agenda

September 17, 2026

10:30 AM

Morning Coffee & Registration

Arrivals, badge pickup, and informal networking over coffee and light breakfast bites.

Networking
11:00 AM

Opening Remarks Sigma Software

Keynote
11:15 AM

Panel 1: Operational Transformation (with AI)

2026 is a year of efficiency, organization sought approaches and tools to design and implement new better versions of themselves. This panel brings people who have gone or undergoing these transformations to share what worked and what didn’t for them.

Panel
12:00 PM

Audience exchange, moderated conversation with audience

Conversation with audience
12:15 PM

Networking Lunch

Lunch
1:00 PM

Case Study: Using Snowflake Cortex to Accelerate Internal Transformation

Case Study
1:20 PM

Case Study: Building with IronClaw: Secure AI for Internal Transformation

Case Study
1:40 PM

Panel 2: The Assurance Layer: AI Security, Compliance & Cost Visibility at Enterprise Scale

As AI becomes core business infrastructure, the controls around it become non-negotiable. This panel covers what the assurance layer actually looks like in practice: access policy, compliance exposure, security risks in AI systems, quality gates, and cost intelligence at scale.

Panel
2:25 PM

Coffee Break

2:45 PM

Lightning round, 3 speakers

What is your biggest AI regret?

3:10 PM

Panel 3: From Assisted to Agentic: Rethinking How Engineering Teams Deliver

Engineering teams are moving along a spectrum, from AI-assisted coding to agentic SDLC to fully AI-native delivery. This panel examines what each stage requires, how to manage the transition without disrupting production, and what brownfield modernization looks like in practice

Panel
3:45 PM

Fireside chat and closing remarks

Fireside
4:15 PM

Happy Hour & Evening Networking Reception

Networking
Seats are limited

Secure Your Spot
AI Practitioner
Summit

Thursday, September 17th, 2026

Convene

810 7th Ave, Floor 23

New York, NY 10019

Register now

Featured Speakers

Industry leaders sharing insights from the frontlines of AI adoption and enterprise transformation.

Alexey Stoletny

SVP Global Engineering, HUMAN

Leo Shklovskii

VP Engineering, Tabs

Kouros Esfahany

CTO, Locality

Oleg Korenfeld

Group President, Technology & Platforms, CMI Media Group

Mamdouh Alramadan

Managing General Partner , XTAM

Alex Brownstein

CEO & Founder, AHB Advisors

Wei Wei

Co-Founder & CTO, Firsthand

Eduardo Gonzalez

AI/ML Architect, Applied Field Engineering , Snowflake

Boris Trofimov

Data Architect, Sigma Software Group

Julie Gordon

Senior Programmer Writer, Docusign

Manny Flores

US Head of Transformation, AI & Business Intelligence, Ipsos

Song Du

CTO, Swivel

Michael Gelb

SVP, Growth & Product, Danads

Justin J. Leto

Global Principal Solutions Architect, Private Equity — Amazon Web Services

Sandra Baez

COO, Premion

Tom Fleischer

Head of Technology,
T-Mobile Advertising Solutions

Jeff Ellin

Vice President, Product Architecture,
FreeWheel

Katherine Tuluzova

CEO, Sigma Software

Hanna Abdel Hamid

Head of Sigma Software Canada

Become a Speaker

Our speaker lineup for the AI Practitioner Summit is now complete!

A big thank you to everyone who applied, reached out, or expressed interest in joining us as a speaker. We truly appreciate the enthusiasm and the incredible response.

We’re excited about the lineup we’ve put together and look forward to sharing more with you soon!

  • Paper Submission

    August 10, 2026

  • Notification

    Notification of Acceptance

    August 17, 2026

Partner with AI Practitioner Summit 2026

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AI Practitioner Summit

Bringing together the people building AI and the decision-makers turning it into business impact.

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