The 2027 agenda delivers the latest technology, strategy and leadership insights across key topic areas, covering the challenges most critical to CIOs.
The 2027 agenda delivers the latest technology, strategy and leadership insights across key topic areas, covering the challenges most critical to CIOs.
AI Cost and ROI
CIOs must link AI investments to outcome-driven metrics, embedding financial discipline, and ensuring cost transparency with FinOps. CIOs must partner with leadership, prioritize production deployments, strengthen data foundations, and govern inference costs for scalable, sustainable ROI.
AI Governance, Risk, Trust and Ethics
Responsible AI adoption rooted in strong governance and agile oversight minimizes the enterprise’s exposure to risk. CIOs must embed explainability, privacy, compliance, invest in domain-specific models and enterprise platforms, and scale TRiSM controls and cost accountability for trusted AI adoption.
AI’s Impact on the Workforce
Talent and skills are being redefined by AI. CIOs must champion AI literacy, nurture adaptable teams, and partner with HR to drive upskilling and change management. Aligning talent strategies to business outcomes unlocks new value and future-ready talent.
Business Value of IT
There’s an art and science to identifying and measuring the value of IT and your AI initiatives. Learn how you can craft a more impactful business value narrative and support it with metrics that your business leadership will care about to build credibility, influence decisions and secure investment.
Digital Business Transformation
Build, scale, refine and accelerate your digital business strategy. Shift toward the next era of digitalization focusing on autonomous business. Discover how to create new products and business models that transform the business.
Evolution of Technology Leadership
The CIO role is evolving fast in every direction as tech footprints expand beyond IT. Examine your tech leadership roles and structures to future-proof your enterprise and fuel growth.
Executive Influence
Top-performing leaders are people-centric and focus on relationships. Discover how to be a transformational leader, influence stakeholders and develop your interpersonal skills to amplify your impact.
Culture and Change Management
A thriving culture is foundational to lasting transformation. CIOs should anchor change in measurable outcomes, co-create vision with leaders, empower managers, and build agile learning. Aligning behaviors, governance, and talent strategies sustains progress, accelerates adoption and cuts fatigue.
Cybersecurity and Enterprise Resilience
Reframe cybersecurity as a business imperative. Elevate resistance to anticipate, withstand, and recover from disruption created by rapid changes in the digital world and a volatile geopolitical landscape. CIOs must align security to outcomes, embed adaptive controls and governance, and build lasting trust.
Operating Models
IT operating models are the engine of digital transformation. CIOs must align models to enterprise ambition, balance governance with agility and AI, and empower cross-functional teams to ensure IT delivers measurable business outcomes, adapts continuously and drives growth.
Innovation Leadership
Innovation thrives when CIOs anchor it to business outcomes, foster a culture of experimentation, and empower fusion teams. By adopting product-centric models, leveraging AI and data, and measuring impact, they scale ideas that drive transformation and lasting value.
IT Strategic Planning
Strategic planning and execution means more than setting direction. CIOs must unite IT and business, integrate AI for measurable outcomes, address change fatigue with structured management, and orchestrate agile plans, governance and talent to deliver sustained business value.
Scaling and Operating AI in the Enterprise
AI at scale requires tight alignment to enterprise objectives and outcomes, as well as robust controls, observability, and oversight. CIOs must co-create adaptive roadmaps with the business, embed security-centric design, build resilient data foundations, and shift from siloed pilots to integrated initiatives that ensure AI drives sustainable, organizationwide impact.