AI Practitioner Summit: How Organizations Are Turning AI Into Business Results

On September 17 in New York, we're bringing together technology leaders and business decision-makers for the AI Practitioner Summit, a day built around one question: how do you get AI to deliver results, not just promise them?

Summarize and add into your AI system

Over the past several years, Sigma Software has integrated AI across its own operations while helping clients build AI-enabled products, modernize business processes, and scale AI adoption. Along the way, we discovered a common challenge: while interest in AI continues to grow, many organizations struggle to move beyond pilots and isolated experiments.

So we built the AI Practitioner Summit to be different, a room full of people who’ve done this work, talking honestly about what worked, what didn’t, and what it takes to scale AI beyond the demo stage.

AI Practitioner Summit

 

When & Where

September 17, 2026

Convene
810 7th Ave, Floor 23
New York, NY 10019

What We Will Discuss

This isn’t a summit about whether to adopt AI, everyone’s past that question. It’s about how to scale it securely, prove its impact, and fold it into how the business actually runs day to day.

Sessions include:

  • Operational Transformation and the Role of AI: what needs to change in business processes and operating models, and where AI can create measurable business value.
  • AI Security, Compliance & Cost Visibility at Enterprise Scale: a panel discussion exploring governance, access control, compliance, AI security, quality assurance, and cost transparency.
  • Biggest AI Regrets: experienced practitioners share the AI decisions they would make differently today and the lessons they learned along the way.
  • From Assisted to Agentic: Rethinking How Engineering Teams Actually Deliver: how engineering organizations need to evolve as AI becomes an active participant in software delivery rather than simply a coding assistant.
  • Practical Implementation Case Studies: including how using Snowflake Cortex Code to improve cloud cost visibility and operational efficiency, and lessons learned from building secure internal AI solutions with IronClaw.

Who Should Attend

The summit is designed for organizations that are:

  • moving from AI experimentation to enterprise adoption;
  • building AI-enabled products;
  • introducing AI into internal operations;
  • responsible for AI strategy, governance, or technology transformation.

 

It will be particularly valuable for:

  • C-level executives and business leaders;
  • CTOs, CIOs, and technology leaders;
  • Product and innovation managers;
  • Data and AI specialists;
  • Founders and entrepreneurs.

Whether you’re scaling AI across the enterprise or only beginning your adoption journey, you’ll hear practical lessons from organizations already solving these challenges in production.

Join the Summit

Space is limited and registration is required. If you’re after practical answers instead of another AI keynote, reserve your seat and join us in New York on September 17.

Register now

Call for Speakers

We’re inviting experienced practitioners, innovators, and business leaders to share their AI journey on stage. If you’ve led AI initiatives, learned valuable lessons, or built solutions that others can benefit from, we’d love to hear your story.

Apply to speak

Become a Partner

Connect with business and technology leaders actively adopting AI, showcase your expertise, and become part of the conversations shaping enterprise AI.

Partner with us

About the Organizer

The AI Practitioner Summit is organized by Sigma Software, a global technology consulting and software development company with more than 20 years of experience delivering digital solutions worldwide. Sigma Software is a partner of Google Cloud, NVIDIA, Snowflake, Databricks, UpCloud, and UiPath.

Drawing on its own AI transformation journey and experience helping enterprise customers adopt AI, Sigma Software created the AI Practitioner Summit as a platform for sharing practical lessons, real implementation stories, and proven approaches to enterprise AI.

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