Join data leaders in NYC for the 2026 Data Intelligence Summit. Master AI, governance, and analytics through expert keynotes and networking. Secure your spot today!

Data Intelligence Summit NYC 2026: Powering the Intelligent Enterprise

Join data leaders in NYC for the 2026 Data Intelligence Summit. Master AI, governance, and analytics through expert keynotes and networking. Secure your spot today!

📊 What It Is

The Data Intelligence Summit NYC 2026 is a major international conference and exhibition focused on how data and advanced intelligence technologies are reshaping strategy, operations, and analytics in enterprise and government settings. It brings together practitioners, leaders, and innovators involved in data strategy, management, analytics, automation, and AI-driven insights.

🗓️ Dates & Location

✔ When: February 25–26, 2026
✔ Where: New York City (event details and venue information are published on the official summit site).

🎯 Focus Areas

The summit centers on key themes that are front and center in data-driven organizations today:

  • AI & Data Strategy: Aligning data initiatives with business goals and competitive advantage.
  • Data Management: Best practices in data acquisition, infrastructure, governance, and compliance.
  • Analytics & Insights: Leveraging modern analytics and AI to deliver predictive and real-time business insights.
  • Automation & Intelligent Systems: Applying automation and intelligent workflows to scale processes and improve performance.

These core topics reflect the evolving landscape, where data must not only be collected but also turned into actionable insights quickly and responsibly.

👥 Who Should Attend

This summit is designed for a broad range of professionals in the data ecosystem, including:

  • Data professionals & analysts looking to deepen technical and strategic skills.
  • AI/ML strategists and leaders driving enterprise AI adoption.
  • Enterprise leaders (e.g., Chief Data Officers, Heads of Analytics) responsible for digital transformation.
  • Technical practitioners work on data pipelines, governance, and infrastructure.

This blend makes it valuable for both technical specialists and business decision-makers.

🧠 Speakers & Expert Community

The summit features a diverse lineup of senior speakers and data leaders, such as:

  • Ujjwal Goel – Sr. Director, Data & ML Engineering
  • Linda F. Powell – Deputy Chief Data Officer
  • Friederike Schüür – Chief of Data Strategy & Governance
  • Shreyas Becker – Head of Global AI & Data Products
  • Rana Dalbah – Senior Director of AI & Data Governance
  • Mark Brady – Deputy Chief Data Officer
    …and many others from corporate and strategic data leadership roles.

This mix of perspectives—from governance to product strategy—suggests a broad representation of the industry and real-world experience shared in sessions.

🗓️ Typical Agenda Highlights

The summit program usually blends keynotes, panels, and networking sessions. Example highlights include:

  • Opening keynote about “Data is the New Gold.”
  • Sessions on AI in Data Intelligence and Data Ethics & Regulation
  • Panels on building Smart Data Infrastructure & Performance
  • Networking breaks and exhibition interaction with sponsors and solution providers

This kind of agenda is tailored to insight sharing and strategic learning as well as industry exposure.

🔄 Why It Matters

In 2026, the pace at which data and AI technologies evolve means organizations need strategies that balance innovation with compliance, integration, and deliverable value. Events like this help bridge the gap between:

  • cutting-edge technical practice
  • enterprise strategy and leadership goals
  • practical challenges in real-world businesses

Attending can broaden perspectives on emerging tools, governance models, and analytics approaches.

⭐ Overall Review Summary

Pros
✔ Covers both strategic and technical aspects of data and AI.
✔ Brings together senior leaders and practitioners with active insights.
✔ Offers networking and expo opportunities to connect with vendors and peers.

Considerations
⚠ Content level likely varies from executive strategy to practitioner insights—so attendees should pick sessions based on their role and experience.

Overall, it’s a high-value event for anyone invested in data strategy, analytics, AI adoption, and enterprise transformation in 2026.

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