Strategy & Governance
Topics
Make 3 FriendsCollaboration is the key to building an effective Enterprise Architecture (EA) practice. This presentation reveals the three colleagues in the organization who can greatly... |
|
Critical Thinking in the Age of AI ReportingAI is accelerating how information is created and shared, but that speed can also amplify confusion and misleading conclusions. In this era when only clicks matter, even... |
|
Decoding Agentic AI Architecture: A Security Perspective for CISOsWith the advent of agentic AI, CISOs are scrambling to adjust to a new world order of security. Discover an approach to mitigate this threat while supporting... |
|
Who’s Really Running the Experiment?AI agents are making decisions – faster than we can intervene. What happens when they make the wrong one? This presentation examines lessons learned when Stanford... |
|
What Hollywood Can Teach IT About Achieving AI ValueQuantifying ROI for AI is a challenge many organizations are facing today. This is because AI doesn't follow any of our existing enterprise IT technology models. To close... |
|
The Toothpaste EffectEffortless shopping experiences, like a quick trip into the store to grab toothpaste, are grounded in strong data governance behind the scenes. This presentation examines... |
|
Lightning Round: Infrastructure & Operations Priorities 2026This presentation explores what I&O must get right to thrive in 2026, based on five key priorities from the Infrastructure & Operations Priorities 2026 report. |
|
Architecting the EnterpriseInvigorate your practice by convincing stakeholders of the unique value EA promises and formalizing specific functions that directly solve your most pressing problems. |
|
Pit Stops, Not Heroics: Technical Debt for Product LeadersThis presentation uses a motor sports analogy to explain how hidden costs can accumulate when speed and short-term gains are prioritized. The result is technical debt that... |
|
AI FatigueBetween constant headlines, shifting expectations, and endless new tools, many IT leaders are struggling to navigate AI fatigue, balance competing demands, and make... |
|
