AI at a Crossroads: Leading Through Complexity, Risk, and Enterprise Change

• Why organisations are still struggling to translate AI ambition into meaningful business impact
• How leaders are navigating the trade-offs between innovation, risk, and trust as AI scales across the enterprise
• How leadership priorities, decision-making, and accountability are evolving in response to AI-driven transformation

Glenn Schmitz

CISO

Virginia State Corporation Commission

Rashmi Sinha

Chief Architect, Innovative Medicine Data Fabric

Johnson & Johnson Innovative Medicine

Jigar Shah

Chief Information Security Officer

Medusind

Narayanan Krishnan

VP of Digital, Technology and Data

Athletico

Steve Rubinow

IT Director & Associate Teaching Professor

Illinois Institute of Technology

Shaping the Future of Business with Trusted AI and the Autonomous Enterprise

AI is moving from isolated productivity tools to a new operating model for business: the Autonomous Enterprise. As AI agents become embedded across enterprise software, leaders must move beyond experimentation and focus on measurable business outcomes, trusted decision-making, and scalable adoption. This session explores how organizations can shape a future where AI agents act as trusted advisors, automate complex workflows, and work alongside people across finance, procurement, supply chain, customer experience, and human capital management. We will examine how agent extensibility enables enterprises to adapt AI agents to specific business processes, data environments, and industry needs, while agent governance ensures these systems remain secure, auditable, explainable, and aligned with business process.

Doug Freud

VP Data Science & Data Management Business Technology Platform

SAP

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.

Peter Sprenger

Splunk Field CTO

Splunk - A Cisco Company

From Digital Sprawl to Scalable Transformation: Lessons from the Front Line

• The real-world challenges that stalled digital transformation at enterprise scale
• How disciplined use-case prioritization and governance enabled execution
• The approach used to scale pilots into secure, data-driven capabilities
• Practical lessons IT leaders can apply to accelerate value realization

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

• 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

The Next Billion Users Will NOT Be Human: How Browser Security Secures Humans and Agents

AI agents are rapidly becoming autonomous digital workers inside the enterprise—planning tasks, accessing data, and executing actions across SaaS apps, APIs, and browsers. While adoption is accelerating, most organizations lack the security controls to manage agents as privileged non-human identities. This keynote examines the drivers and growth of enterprise AI agents, the new attack surface they create—especially through browser and web-based interactions—and real-world risks and offers a practical approach to security ai agents today and into the future to maintain productivity and automation, safely.

Eric Wolff

Cybersecurity Strategist

Menlo Security

Optimising Multi-Cloud Environments for Performance, Cost, and Risk Management

• Analyse techniques to balance efficiency, cost control, and risk mitigation across multiple cloud platforms
• Review governance models, security frameworks, and strategies for workload mobility in multi-cloud infrastructures
• Leverage automation and enhanced visibility tools to simplify management and boost agility across cloud environments

Trusted Data for AI: Building the Foundation for Agentic Enterprise

• Why data quality, context and accessibility have become critical enablers of AI and agentic AI success
• How organisations are creating trusted, governed data foundations without slowing innovation
• Balancing data ownership, governance and security while making enterprise knowledge AI-ready
• Moving beyond data lakes and catalogues to deliver actionable, business-ready data at scale
• Ensuring AI systems can access accurate, timely and explainable data across the enterprise

AI at Scale Without Compromise: Delivering Compliant, High-Quality Data Everywhere

Organizations want to scale AI quickly, but data access is constrained by privacy requirements, cross-team governance, and the complexity of modern data platforms. Too often, teams face a false choice: move fast with risky practices, or slow down to stay compliant. In this session, we’ll explore how leaders operationalize “AI compliance without tradeoffs” by delivering compliant, high-quality data across AI initiatives—without bottlenecking teams. We’ll cover applying consistent controls across a broad range of sources, reducing sensitive-data exposure while preserving usability, and maintaining the speed required for experimentation. Attendees will leave with an operating model for compliant access that supports governance needs and AI outcomes.

Larry Morgan

Solutions Engineer

Delphix

Navigating Multinational IT Complexity - Building Resilient, Globally Aligned Technology Strategies

- Balancing global consistency with local flexibility in IT strategy - Managing IT risk, compliance, and vendor coordination across regions - Evolving service delivery and governance models for agility and alignment

Emery Geosits

CEO

GITA

Building Cyber Resilience as a Driver of Business Growth

• Aligning security investments with business priorities, growth objectives and organisational risk appetite
• Communicating cyber risk, resilience and investment decisions effectively at board level
• Building a security strategy that enables innovation, AI adoption and digital transformation while maintaining trust

Seeing the Invisible: AI Observability at Enterprise Scale

• Why traditional monitoring fails for AI systems, and what replaces it
• The core pillars of AI observability: performance, drift, bias, explainability, and lineage
• How observability connects AI, data, and infrastructure into a single operational view
• Real-world enterprise scenarios where lack of observability led to risk, outages, or loss of trust

Drew Flowers

Americas Sales Leader & Field CTO

IBM

Exploitable Vulnerabilities Are Out of Control: What You Need to Do

• How the rising number of vulnerabilities impacts business risk and operational resilience.
• Strategic approaches to prioritising and mitigating the most critical threats.
• Building enterprise-wide visibility and governance to reduce exposure and support informed decision-making.

Kristin Hazlewood

SVP and General Manager

HCL Software

Trusted Data for AI: Building the Foundation for Agentic Enterprise

• Why data quality, context and accessibility have become critical enablers of AI and agentic AI success
• How organisations are creating trusted, governed data foundations without slowing innovation
• Balancing data ownership, governance and security while making enterprise knowledge AI-ready
• Moving beyond data lakes and catalogues to deliver actionable, business-ready data at scale
• Ensuring AI systems can access accurate, timely and explainable data across the enterprise

Building AI-Ready Cloud Foundations

• Preparing cloud environments for the next generation of AI workloads
• Aligning infrastructure investments with AI and data strategies
• Managing cost, security and performance at scale

AI is Not the Hard Part: Why Enterprise Adoption is the New Challenge

• Why AI initiatives often stall despite access to capable models and modern technology. Exploring the organizational barriers that slow progress, including workflow fragmentation, governance complexity, unclear ownership, and competing priorities.
• How leading organizations are embedding AI into workflows instead of deploying standalone tools. Examining the role of workflow integration, user trust, and operational alignment in driving meaningful adoption.
• What separates AI experiments from measurable business outcomes and adoption at scale Discussing the capabilities required to scale AI successfully, including change management, enablement, governance, and organizational readiness.

Alim Somani

CEO

Egen

Fuel AI Agents with AI-Ready Data

Data leaders worldwide are now being directed to pursue GenAI and AI agents to drive innovation, top-line revenue growth and productivity — but without the right data, AI projects might be stuck in experimentation. To be successful, you need an AI-powered data management approach to deliver relevant, responsible and robust AI. Lead large-scale, global AI initiatives while using natural language to simplify how your organization utilizes high-quality data for impactful AI applications. Join Informatica and your peers to learn:

• Common pitfalls of GenAI and AI agents
• Key considerations for AI-ready data
• Real-world AI-ready examples
• Recommendations to get started

Wesley Matthews

Sr. Manager of Data Governance & Data Quality

Informatica

Building Cyber Resilience as a Driver of Business Growth

• Aligning security investments with business priorities, growth objectives and organisational risk appetite
• Communicating cyber risk, resilience and investment decisions effectively at board level
• Building a security strategy that enables innovation, AI adoption and digital transformation while maintaining trust

The Agentic Enterprise Starts With Your Data: How Leaders Unlock the Knowledge Trapped in Documents, Emails, and Files

• Most companies are sitting on their most valuable data — and their AI can’t access it
• The real reason AI projects fail to deliver executive-level impact
• What the shift to agentic AI means for your data strategy — and how to get ready
• A practical starting point for executives ready to move from AI experimentation to AI that works

David Donahue

Head of Strategy

Unstructured

Talent in the Age of AI: What Gets Automated, What Requires People, and How Organizations Can Adapt

• How companies and professionals are using AI to shape talent and stay competitive
• How AI fluency is becoming a baseline expectation across roles
• Are we hiring for technical AI skills, or adaptability and learning agility?
• What AI is automating, and what it isn’t
• Designing the human + AI organization by reinforcing the message: technology scales performance, people drive purpose

Jeff Kruger

VP of IT

Gallagher

Non-Human Identity: The Next Frontier of Enterprise Security

• Understanding the rapid growth of machine and AI identities
• Governing access, permissions and trust at scale
• Reducing risk from unmanaged or overprivileged identities

From Use Case to Value: The CxO Playbook for Scaling AI

• How can leaders identify and prioritise the AI use cases that will deliver the greatest business impact
• What does effective validation look like to ensure AI outputs are reliable, trustworthy and ready for scale
• How can organisations scale AI safely while balancing risk, governance and speed to value
• What practical steps should CxOs take to turn AI strategy into measurable outcomes and competitive advantage

Glenn Schmitz

CISO

Virginia State Corporation Commission

Sandeep Nema

Director, Head of Enterprise Architecture

Cook County Government