CIO, New York Summit

Registration Opens / Breakfast / Welcome Remarks

Keynote

From Experimentation to Execution: Building AI‑Ready Operations That Scale

Keynote

The Considerations of AI Usage in IT

The rapid advancement of generative AI technology presents substantial opportunities for the IT industry—accompanied by important considerations to account for when planning implementation of AI tools. While there are many potential benefits of AI to assist IT teams with making better decisions more quickly, and automating more commonplace tasks, there are inherent risks that must be considered. Endpoint management tools, powerful by design, require strategic AI integration to reduce friction and maximize efficiency. Join for a discussion on how organizations can strategically navigate the risks associated with AI implementation, turning potential pitfalls into clear operational advantages through thoughtful adoption and targeted deployment

Panel Discussion

Death of the data pipeline: How AI agents are killing traditional analytics

Your data is trapped. Millions of rows in databases, critical information buried in PDFs, insights scattered across disconnected systems. Your finance teams spend weeks each quarter doing what should take minutes: reconciling transactions, hunting for discrepancies, manually copying data between systems.
Traditional data pipelines can't keep up. They're rigid, expensive to maintain, and require data engineers just to answer one business question. LLM-based tools hallucinate numbers and hit context limits with real enterprise datasets.

Join Paul Codding, co-founder and SVP Product Management,  for a live look at why finance and business teams still spend weeks each quarter reconciling transactions and chasing discrepancies.  Discover how leading enterprises are transforming with AI agents.

Keynote

How do you fix the code that no one wrote? Resilience in the "vibe coding" era

AI-generated applications are already running in your production environments. Across modern cloud ecosystems like Microsoft Azure, developers are rapidly  deploying code they may not fully understand, leaving SREs to untangle incidents without a clear human author.

As you scale AI tools across your IT organization, you need to confront an uncomfortable question: how do you observe, secure, and govern software that was created using conversational, distributed, and machine-assisted tools?

In this keynote, we will explore the realities of the "vibe coding" era and discuss why preserving contextual intelligence, from the initial prompt through to production, must evolve from an afterthought into a core architectural requirement to ensure resilience.

Keynote

Modernizing IT Operations to Power a More Profitable Enterprise 

Enterprises face growing pressure to modernize IT as distributed environments increase cost, complexity, and risk. At the same time, CIOs are increasingly being expected to deliver greater business outcomes—not just keep the lights on.

In this session, Tom Molden, CIO of Global Executive Engagement at NinjaOne, will explore how modern organizations are unifying IT operations to improve visibility, reduce manual effort, and simplify complexity while staying ahead of rising risk. The result? IT teams that are free to focus on higher-value work that drives business forward, and CIOs that are able to be more strategic in their roles. All at a critical time: As AI defines the next era of business growth, it’s IT that holds the keys to AI.

Mingle Break

Panel Discussion

Beyond Hype: Operationalizing AI Across the Enterprise

Executives are looking for successful ways to run their digital ecosystems with AI as cloud and AI adoption reach unprecedented complexity. Organizations are increasingly recognizing that agentic AI on its own can’t deliver the consistent, trustworthy outcomes they expect. With 65% of enterprises investing in AI‑driven monitoring and automation, leaders now need trustworthy AI‑powered observability to shift from human‑driven operations to human‑supervised, autonomous digital ecosystems.

Lunch

Keynote

Make Every Developer an AI Developer: The jQuery Moment for AI

Query transformed web development by abstracting browser chaos into elegant simplicity. AI development needs the same revolution. Today, building AI apps requires specialized knowledge of embeddings, vector math, and pipeline management—skills that sideline your best developers. Learn how modern platforms are flattening the AI learning curve, enabling any developer to build production AI without ML expertise.