The CIO Shift: How Technology Leaders Are Driving Strategy, AI, And Business Growth

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge brings together Rishi Kaushal, Chief Information Officer at Entrust; Diana Cano, Chief Information Officer at Cambium Learning Group; Raghu Pavan, Chief Information Officer at Canarys Automations; and Carl Froggett, Chief Information Officer at Deep Instinct, for a practical CIO roundtable on how technology leadership is evolving in the AI era.

The conversation begins with one of the most important shifts in enterprise leadership today: the CIO is no longer just responsible for infrastructure, operations, and keeping systems available. The modern CIO is now expected to influence business strategy, manage risk, enable innovation, drive AI adoption, modernize technology portfolios, and connect IT performance directly to business outcomes.

The panel agrees that the CIO’s mandate has expanded, but the traditional responsibilities have not disappeared. Stability, reliability, cybersecurity, compliance, patching, vulnerability management, and operational resilience remain foundational. What has changed is that CIOs are now expected to deliver those fundamentals while also helping the business move faster, scale responsibly, and prepare for future disruption.
 

The CIO As A Business Strategist And Change Leader

Rishi Kaushal explains that CIOs now sit at the intersection of business decision-making, technological complexity, customer trust, security, and innovation. AI has accelerated this shift by expanding the CIO’s responsibility beyond automation into accountability, governance, regulatory readiness, and enterprise risk.
 

IT KPIs Must Now Map To Business KPIs

One of the strongest themes in the discussion is the shift in how CIO performance is measured. Traditional IT metrics such as uptime, downtime, transaction speed, reliability, and infrastructure performance still matter, but they are no longer enough.
 

Modernization Beyond Cloud-First Thinking

The roundtable also explores modernization, cloud strategy, and technical debt. The panel agrees that modernization is no longer optional, but it is also not as simple as moving everything to the cloud.
 

Technical Debt Can Exist Anywhere

The panel also reframes technical debt. Technical debt is often associated with old systems, but Diana points out that it can exist anywhere, including new AI experiments. A poorly governed AI pilot built today may become tomorrow’s technical debt if it is not secure, scalable, serviceable, or aligned with enterprise architecture.
 

AI Talent Requires Domain Expertise

The conversation then turns to talent transformation. The panel agrees that the AI talent shortage is real, but Rishi points out that the bigger challenge is not just finding people who understand AI. It is finding people who understand AI and the business domain.
 

Organizational Structures Must Change

Raghu explains that scaling AI adoption may require changes to organizational structure itself. Instead of traditional pyramid structures where change is pushed from the top, organizations may need more diamond-shaped models where influence comes from both leadership and employees closer to the work.
 

Key Takeaways:

 

• The CIO role has evolved from IT operations to business strategy, innovation, risk, and revenue influence.

• Traditional CIO responsibilities such as stability, security, compliance, and resilience remain essential.

• CIOs must now map IT KPIs directly to business KPIs.

• Cloud modernization is shifting from cloud-first thinking to portfolio-based technology strategy.

• Legacy systems should often be reframed as foundational systems because they hold critical data and business logic.

• Technical debt can exist in old systems, new systems, cloud platforms, or AI experiments.

• AI talent transformation requires both AI literacy and deep domain expertise.

• AI adoption must move from experimentation to role-specific use cases that deliver measurable value.

• AI failures should be treated as learnings when they help organizations identify what works.

This episode is a grounded, practical conversation for CIOs, CTOs, technology leaders, infrastructure teams, security leaders, transformation leaders, and business executives who want to understand how technology leadership is changing in the AI era.
 

About The Guests:

Rishi Kaushal is the Chief Information Officer at Entrust, where he brings deep experience across enterprise IT, cybersecurity, infrastructure, digital transformation, AI governance, and business-aligned technology strategy. His work focuses on enabling innovation while managing security, trust, cost, identity, data, and business risk.

Diana Cano is the Chief Information Officer at Cambium Learning Group, where she brings experience across enterprise systems, education technology, organizational change, AI adoption, and resilient technology operations. Her perspective focuses on learning culture, change leadership, business value, and building future-ready technology portfolios.

Raghu Pavan is the Chief Information Officer at Canarys Automations, where he brings experience across infrastructure strategy, cloud transformation, AI adoption, technical debt, and business KPI alignment. His perspective focuses on reframing CIO leadership around innovation, intelligence, infrastructure, and measurable business value.

Carl Froggett is the Chief Information Officer at Deep Instinct, where he brings extensive experience across cybersecurity, infrastructure, operational resilience, regulatory environments, enterprise risk, and business technology leadership. His approach emphasizes stability, accountability, human oversight, and team-of-teams leadership.