Leadership Week: Business Transformation Summits 2026
Agenda
🕑: 08:00 AM - 09:40 AM
Registration and Exhibition Browsing
🕑: 09:40 AM - 10:00 AM
Welcome and Opening Remarks
Info: ISMG editorial leadership sets the stage framing the defining enterprise technology tensions of 2026 and the day’s agenda.
🕑: 10:00 AM - 10:20 AM
Been There, Done That: What Has Actually Worked in Enterprise AI, and What Has
Info: Enterprise AI has now been through a full cycle. Some initiatives are running in production and paying for themselves.
Others get shut down. This keynote is an honest account of both, from a leader who has run AI at scale – what was built, what it returned, and what should be done differently.
This session will cover:
Why enterprise AI pilots get stuck in perpetual testing phases and how to filter them for deployment;
Restructuring enterprise data pipelines to ensure inference and computing costs do not devour business margins;
Setting up rigorous validation protocols that align technical infrastructure with measurable operational KPIs.
🕑: 10:25 AM - 10:45 AM
From AI Pilots to Enterprise Scale: What the Deployment Gap Reveals
Info: Most enterprise AI initiatives never make it past the pilot stage, and the reasons rarely show up in the original business case.
This session examines where the real friction lies in scaling AI beyond proof of concept, and the infrastructure, tooling and organizational decisions that determine whether a pilot graduates to production.
This session will cover:
The most common failure modes when moving AI initiatives from sandbox to enterprisewide deployment;
Platform and integration decisions that create long-term lock-in versus genuine operational flexibility;
How enterprise IT leaders are structuring procurement and vendor partnerships to reduce risk in AI scaling.
🕑: 10:50 AM - 11:10 AM
Who Controls the Machine? AI Speed vs. Enterprise Risk and C-Suite
Info: THE CROSSFIRE: Who Controls the Machine? AI Speed vs. Enterprise Risk and C-Suite Accountability
When AI agents begin making consequential decisions at enterprise speed, the governance frameworks built for human accountability cycles simply can't keep pace.
This session puts the core tension on the table: the faster enterprises scale AI, the wider the gap between what autonomous systems are doing and what C-suite leaders can see, approve or course-correct. Where does accountability live when the decision-maker is a model?
This session will cover:
Where AI governance frameworks are genuinely creating competitive drag, and where that friction is necessary;
The emerging C-suite accountability gap: who owns outcomes when an AI agent makes a consequential decision;
Practical governance architectures that enable speed without ceding enterprise risk control.
🕑: 11:15 AM - 11:35 AM
Securing the Agentic Layer: Identity, Access and Threat Surface in an AI-Drive
Info: As AI agents gain the ability to access systems, trigger workflows and communicate with third-party services, the enterprise attack surface is fundamentally expanding.
This session examines the security architecture decisions CIOs cannot afford to defer.
This session will cover:
How agentic AI creates new identity and privilege escalation risks that legacy IAM frameworks were not designed to address;
The threat landscape shift: from protecting data at rest to protecting real-time autonomous decision pipelines;
Building a security-by-design approach to agentic AI deployment without sacrificing operational agility.
🕑: 11:35 AM - 11:45 AM
Coffee & Networking
🕑: 11:50 AM - 12:40 PM
Architecting the Distributed Enterprise: Scale, Supply Chains and Cross-Border
Info: Enterprises operating across massive, multi-locational networks face immense friction spanning logistics, consumer retail and physical manufacturing.
This panel brings together enterprise tech leaders to discuss how they are decoupling core architecture to ensure system resilience across complex physical supply chains and highly distributed operations.
This session will cover:
Building highly available edge-computing infrastructures that keep remote logistics, plants and hubs running through network drops;
Modernizing legacy enterprise resource planning, or ERP, systems without disrupting active, nationwide business workflows;
Integrating data pipelines across disparate, multi-state operational footprints into a secure, single control plane.
🕑: 12:45 PM - 01:00 PM
The Semantic Layer: Making Your Data Make Sense Before You Put Agents on It
Info: Any enterprise can buy an agent. Far fewer have the business context that makes an agent useful.
This panel goes to the layer underneath: how enterprises are encoding what their data actually means, who owns that work, and whether it leaves them free to change platforms later.
This session will cover:
Building a semantic layer: where enterprises start, what it costs, how long before it shows value, and who owns it;
Lock-in: how to tell whether you are aligned to a platform or a frontier model and what switching would actually cost you today;
Why the same question to the same agent can return a different answer, and how much of that is a context problem rather than a model problem.
🕑: 01:00 PM - 02:00 PM
Lunch Break
🕑: 02:00 PM - 02:30 PM
CIO BOARDROOM WORKSHOP
Info: Managing the Hidden Infrastructure and Technical Debt Blocking the Next Wave of AI Adoption
In this boardroom workshop, the room will be divided into executive boards and will be handed a live operational crisis scenario: an AI integration failure, a shadow IT breach or a compliance incident caused by unresolved legacy debt. Boards will have 25 minutes to co-develop a response plan.
An expert will sit at each table as a strategic adviser, and findings will be presented back to the full room.
This session will cover:
Diagnosing the infrastructure and data architecture gaps that are preventing AI workloads from scaling beyond pilots;
Quantifying technical debt in terms that earn CFO and board-level prioritization, beyond the usual IT narrative;
Governance and remediation playbooks that CIOs are currently using to unblock AI adoption without multi-year rip-and-replace programs.
🕑: 02:30 PM - 02:45 PM
Unified Observability in Hybrid Environments
Info: Unified Observability in Hybrid Environments: Getting Visibility Across Legacy and Cloud-Native Infrastructure
As enterprises layer AI and cloud-native tooling onto legacy infrastructure, the monitoring blind spots multiply.
This session examines the observability architectures that give CIOs a single pane of glass – across old and new stacks.
This session will cover:
Why traditional monitoring tools fail in hybrid environments, and what a modern observability stack requires;
Implementing AIOps-driven anomaly detection in environments where baseline behavior is inconsistent or poorly documented;
The business case for observability investment: translating uptime and MTTR metrics into board-level risk language.
🕑: 02:50 PM - 03:20 PM
DEEP-DIVE SESSION
Info: The Connected Shopfloor: Bridging the IT-OT Divide in Modern Manufacturing Ecosystems
For enterprises managing industrial footprints, true business transformation requires extending digital capabilities all the way to the factory floor. But, connecting legacy OT with modern enterprise IT systems creates immense architectural friction and security challenges.
This session will convene technology leaders from major manufacturing setups to share practical strategies for building resilient, high-throughput data pipelines across distributed production environments.
This session will cover:
Architecting unified networks that allow real-time telemetry data to safely pass from shopfloor machinery to enterprise ERP pipelines;
Deploying local, low-latency infrastructure directly onto production floors to enable automated quality control and predictive maintenance without relying on constant cloud connectivity;
Mitigating critical cyber risks, managing endpoint vulnerabilities and establishing
🕑: 03:25 PM - 03:45 PM
From Integration to Orchestration
Info: From Integration to Orchestration: Managing the Enterprise AI Stack When Every Platform Has an Agent
Every major enterprise software platform now comes integrated with an AI agent layer.
The result is an orchestration problem, involving multiple agents, data sources and decision loops, with no unified control plane. This session examines how CIOs are managing the complexity before it manages them.
This session will cover:
How the proliferation of platform-native AI agents is creating integration and interoperability challenges that weren’t in any organization’s enterprise architecture road map;
The orchestration layer decisions – build, buy or stitch – that determine whether a multi-agent environment compounds value or compounds chaos;
What a coherent enterprise AI stack looks like when the goal is unified governance across agents that were never designed to talk to each other.
🕑: 03:45 PM - 04:15 PM
CLOSING KEYNOTE
Info: The AI Investment Hearing: A Live Boardroom Simulation
The CIO has requested a significant AI infrastructure investment. The CFO wants proof it will deliver returns.
The board member wants to know why the last initiative didn’t. This session puts three practitioners in role as CIO, CFO and a board member and plays out the conversation that happens behind closed doors in every enterprise navigating an AI investment decision. The audience is watching a pressure test!
This session will cover:
The questions CFOs are actually asking CIOs about AI spending in 2026;
Where the CIO-CFO-board conversation breaks down most often;
What it looks like when a CIO wins the room – the framing, the evidence and the leadership posture that turns a skeptical CFO and board into genuine sponsors of an AI agenda.
🕑: 04:15 PM - 06:00 PM
Closing Remarks
Where is it happening?
Event Location & Nearby Stays:
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