Beyond the Hype Cycle – Defining the 2026 Enterprise Blueprint

• Which technologies are the proven drivers of revenue generation and operational efficiency?
• Address critical, enterprise-wide risks in data governance, AI ethics/bias, and security vulnerabilities that dominate C-suite discussions
• How are CxO’s structuring their teams and budgets to shape the next era of business transformation, rather than simply supporting it?

Robert Piascik

SVP - Chief Information & Technology Officer

New York Power Authority

Nashira Spencer

Chief Information Security Officer and Head of Enterprise IT

Stitch Fix

Suresh Kandula

Chief Technology Officer, Integrated Services

Ford Motor Company

Louie Celiberti

Managing Director

Guggenheim Partners

Kevin Bock

VP/ Chief Health Information Officer, Revenue Cycle

Northwell Health

Case Study: AI Use Cases That Deliver Impact

• High-value use cases across industries
• Why they succeed (data, architecture, workflow alignment)
• Technical lessons from deployments that failed to scale
• How to pick winning AI projects for the C-suite

Wayne Segar

RVP of Field CTO and AI Innovation

Dynatrace

AI-Ready Data Infrastructure: Scale Smarter, Run Faster, No Compromises

• Where is your biggest AI data bottleneck today - scale, speed, or reliability?
• Integrate vector search and transactional workloads in one resilient database 
• Leverage pgvector for AI-driven applications directly within CockroachDB
• Combine high-throughput transactional data with AI workloads without sacrificing ACID guarantees
• Architect data infrastructure that’s always-on, globally distributed, and fault-tolerant
• Simplify pipelines, reduce complexity, and accelerate AI adoption

Chris Casano

Director of Global Solution Engineering

Cockroach DB

From AI Hype to Enterprise Impact: Scaling AI with a Modern Data Foundation

Google Cloud & Persistent Systems

• Moving from fragmented data to AI at scale by modernizing data platforms on Google Cloud and operationalizing AI using Vertex AI, Gemini models, and MLOps by design
• Embedding AI into data‑driven enterprise workflows, where governed, high‑quality data—not standalone models—powers decision‑making and automation
• Why data governance, responsible AI, and Zero Trust security are prerequisites for scaling AI adoption with confidence and speed
• Persistent’s role in engineering AI‑ready data platforms, integrating AI into existing data architectures, products, and operational processes
• Measuring success through business outcomes—faster insights, lower TCO, and operational impact—rather than model performance alone

Cyber Resilience for the AI Era: Securing a Hyper-Connected Enterprise

• Protect your software supply chain from LLM-driven exploits, Prompt Injection, and Model Poisoning by translating emerging tech risks into clear business continuity plans
• Leverage AI-powered automation to increase detection accuracy and accelerate recovery within your production environments
• Align your Security Development Lifecycle with board-level expectations, ensuring that security investments directly support long-term scalability and market defensibility

Advancing Digital Resilience for the Agentic Era

As agentic applications reshape digital ecosystems, data volume and complexity are skyrocketing. This shift is fueling cross-domain threats that exploit fragmentation and make it harder than ever to stay ahead. To address the challenges posed by AI, organizations need to think about digital resilience in new ways – supercharging security and observability with AI, ensuring security and observability for AI, and protecting themselves from new threats posed by AI.

Andy Thurai

Splunk CTO

Splunk

From Data Silos to Intelligent Enterprise Analytics: Breaking the Integration Paralysis

Most large enterprises manage 900+ applications across their technology portfolio, creating information silos that fundamentally limit organizational intelligence. While executives recognize this challenge, many remain paralyzed by the scale and complexity of integration, ETL efforts. This discussion explores how AI can serve as the "universal connector" - not requiring wholesale system replacement, but creating an intelligent overlay that bridges disparate data sources. We'll discuss how to move from analysis paralysis to progressive value creation through AI-powered data unification and insights. Key Discussion Points:

• How do you make your data AI ready?
• What are the most effective architectural patterns and technologies (e.g., data fabric, data mesh, modernized data warehousing) for breaking down existing data silos?
• What frameworks and technologies have been most useful for ETL, data prep - what is the ‘analytics and data stack’ for AI?
• AI as semantic bridge vs. traditional ETL approaches
• Measuring business impact beyond technical metrics - Cultivating Data Literacy and Cross-Functional Collaboration for AI Success

Brad Gyger

Chief Customer Officer

MindsDB

Your Cyber Defense, Optimized: Mastering the Landscape and Securing Scale

• Discuss how to stop the most common "business-killers"
• Discover how to weave security into your daily IT tasks ensuring you spend your budget and time where they provide the most protection
• Learn how to align your security standards with global "gold standards" (like SOC2 or ISO)

AI Colleagues—Transforming the Back Office with Enterprise-wide Agentic AI

See why companies like Coca-Cola, Nestlé, Sony, and MongoDB trust AI Colleagues to transform IT, HR, Finance/Procurement. In this session, watch AI Colleagues in action—employees talk with them just like human teammates to get answers, complete tasks, and execute backoffice workflows across ServiceNow, SAP, Workday, Oracle, UKG and more.

• What are AI colleagues? See them in action
• What back office functions (IT, HR, Finance, Procurement) are best performed by AI colleagues?
• What savings companies can expect from deploying AI colleagues?
• What are the common challenges companies face when implementing AI colleagues for the back office?
• Why not develop these in-house, using “free tools”?
• Why not just commission the AI agents on offer from the various system-of-record providers?

Adit Jain

Co-Founder & CEO

Leena AI

From AI Experiments to Enterprise Impact: Scaling Intelligence with Governance, Trust, and ROI

• Transitioning AI from isolated experiments to mission-critical enterprise capabilities
• Overcoming fragmented tooling and lifecycle integration challenges
• Building cross-functional AI governance councils and shared accountability models
• Embedding operational excellence — metrics, outcomes, and feedback loops

Senior Representative

Cresta AI

Mastering the AI Bill: Proactive FinOps and Unit Economics for Multi-Cloud

• Using telemetry-based cost sharing to allocate GPU and token usage costs back to specific business units or product lines
• Integrating cost-governance features directly into developer pipelines to catch "spend surprises" before deployment
• Leveraging intelligent models to predict variable cloud costs driven by fluctuating AI workloads and seasonal demand

“AI Colleagues” for the Back Office -  How to Architect, Securely Deploy, and Govern Agentic AI at Enterprise Scale

A comprehensive, open agentic AI architecture can empower CIOs to accelerate enterprise-wide AI adoption. Agentic AI technologies are poised to streamline workflows, ensure access control and governance, and minimize hallucinations—to deliver on the promise of agentic AI.   In this session, you’ll explore how to: 

• Define the architectural approach behind a unified agentic AI layer
• Abstract complexity, drive efficiencies, and accelerate time to business outcomes
• Enforce access control and governance

Adit Jain

Co-Founder & CEO

Leena AI

Everything Is Hackable: Rethinking AI Risk, Ethics & Global Safety Standards

• Trust, identity, privacy & security as core design principles
• Securing the entire AI ecosystem through equipment, data and people 
• The expanding risk surface of modern technologies
• Why global standards & collaboration are essential

Florence Hudson

Executive Director

Columbia University

Separating Hype from Impact: What Works, What Fails, and Why

• Identify AI use cases that consistently deliver real business value
• Understand the technical factors behind success and failure
• Clarify AI’s strengths and limitations to guide strategic decisions
• Equip C-suite leaders with criteria for selecting high-impact AI initiatives

Alaa Moussawi

Chief Data Officer

New York City Council

Beyond the Data Lake: Architecting Trusted, AI-Native Ecosystems

• Implementing "self-healing" data pipelines that automatically detect and remediate drift or quality issues before they reach AI models
• Using real-time lineage tracking to satisfy the 2026 "right to explanation" required by global regulators for AI-driven decisions
• Transitioning from fragmented silos to a unified lakehouse architecture to support both real-time streaming and massive batch processing for LLMs

Identity as Resiliency: Securing the AI Workforce and Distributed Perimeters

• How to manage and secure "non-human identities", autonomous AI agents that now possess privileged access to core banking and research systems
• Moving beyond traditional MFA to hardware-backed, phishing-resistant authentication to counter AI-enabled social engineering
• Implementing micro-segmentation that dynamically adjusts access based on device health, location, and behavioral context

Education, Literacy & Organizational Readiness for Modern Transformation

• Improving digital literacy across the organization
• Training programs that accelerate adoption of new tech environments
• Closing capability gaps across engineering, ops, and business teams
• Building continuous learning cycles into transformation strategy

Data-Centricity or Bust: Why Your Architecture Must Evolve for Generative AI

• The move from application-centric to data-centric
• Become AI ready with product driven preparation for data assets 
• Design real-time data architectures for immediate intelligence

From Chaos to Control: Automating the ‘Golden Hour’ of Incident Response

• Use risk quantification engines to replace guesswork with data-driven frameworks for board-level reporting
• Implement automated workflows to align IT, legal, and comms into a single, unified integration layer
• Leverage Al-powered automation to model the impact of ransomware scenarios and accelerate recovery
• Unify security across hybrid, multi-cloud estates to eliminate blind spots during complex vendor failures

180 Days to Value – Architecting the Next 6-Month IT Strategy for Data, AI & Cyber Resilience

• Understand the new challenges and opportunities for talent management in a hybrid work environment.
• Learn to build a resilient and agile technology workforce that can adapt to rapid change.
• Explore strategies for attracting, retaining, and upskilling talent in a competitive market.

Amit Basu

Vice President, Chief Information Officer & Chief Information Security Officer

International Seaways Inc.

Svetlana Grigoryeva

Director of Applications & Development

Hughes Hubbard & Reed LLP

Louie Celiberti

Managing Director

Guggenheim Partners