Read in 90 seconds:
- Notable C-Suite Moves
- What’s New In Tech
- C-Suite Trends For Leaders
- From the Podcast
Notable C-Suite Moves (February)
- Chinmoy Banerjee → Chief Executive Officer, GeBBS Healthcare Solutions. Handles end-to-end healthcare offerings and partnerships across markets. Former leadership roles at Hexaware Technologies, IBM, Tata Consultancy Services, and Infosys BPM.
- Srinivas Rao → Chief Executive Officer, K2 Partnering Solutions. leading strategy and execution across enterprise platforms, applications, AI, and cloud. Former leadership roles at LTM, Sutherland, Conduent, Capgemini, and Infosys.
- Manas Chakraborty → Managing Director & Chief Executive Officer, ITC Infotech. Will scale the business profitably and execute complex digital transformation programs at enterprise scale. Former leadership roles at Tech Mahindra and Mindtree.
- Kelly Hopping → Chief Marketing Officer, 6sense. Leads global marketing strategy at the intersection of AI, revenue intelligence, and B2B growth. Former leadership roles at Demandbase, HYCU, Gartner Digital Markets, Rackspace Technology, AMD, and Dell Technologies
- Yuneeb Khan → Chief Financial Officer, KnowBe4. Handles financial strategy, operations, and supports growth in human and Agentic AI risk management. Former Leadership roles at Trellix, Quotient Technology Inc., and NielsenIQ.
What’s New in Tech
AI Readiness Is Now the Gate to Transformation ROI
AI urgency remains high, but AI returns remain uneven. Gartner Insights say only 1 in 5 AI initiatives achieve ROI, and just 1 in 50 deliver true transformation.
The constraint drifts away from 'access to models' to AI readiness.
Most organizations fund AI for productivity gains. But productivity alone does not create enterprise value. The imbalance between tech progress and human preparedness continues to reduce impact.
Why this matters: 87% of employees show interest in AI tools. Only 32% trust leadership to guide this transition. Without balanced technology and workforce readiness, AI initiatives remain pilots instead of performance drivers.
Executive implication: Treat AI as a portfolio of value bets. Each initiative must clear business-value gates before scale.
C-Suite Trends For Leaders
1. Gaining AI ROI at the Business Layer, not the Model stage
Gartner’s AI investment framework emphasizes starting with business value, then validating technology, data readiness, and organizational adoption, in that order.
Executive move: Require every AI proposal to state the business problem, funding source, success metric, and stop conditions upfront.
2. Data and Organization are the Real Bottlenecks
Advanced models cannot compensate for poor data hygiene or unprepared teams. Clean, governed data and early change management consistently separate scalable AI programs from stalled pilots.
Executive move: Fund data governance and workforce readiness as first-class investments in AI.
3. Strategy must Stay in Motion
AI strategies decay quickly if they aren’t continuously realigned with business priorities. High-performing organizations treat AI strategy as a living system, regularly recalibrated against risk, value, and execution realities.
Executive move: Review AI portfolio alignment quarterly alongside Business Strategy.
From The Podcast
Most Companies Were Hacked by AI and Don't Know It: 4x CISO Explains How to Stop It
In this CXO Spotlight episode, Andres Andreu the CEO of Constella Intelligence explains how AI is compressing the timeline from attack design to execution. Constella tracks 230 billion identity records globally. The reality is that when a breach becomes public, it likely happened six months earlier, and attackers have already monetized it.
Key insights from the conversation:
- Why AI without domain context is just hallucination
- How enterprises shifted from single-vendor buying to selective specialty providers
- The questions Chief Compliance Officers should ask, but often don’t
- Why do people still buy from people, even when features look identical
- Who wins as regulation, geopolitics, and AI force market consolidation
Why it matters: AI readiness is now inseparable from cyber resilience. As automation lowers the barrier to attack, the shift from protective posture to operational continuity becomes a board-level priority.
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