AI is reshaping enterprises, and it's up to CTOs to lead the transformation. Tomorrow's CTOs will be more than technologists; they also need to be strategists, architects, evangelists and integrators. With the rise of #AgenticAI, successful CTOs must have the vision to challenge norms and rethink fundamentals by: 💡Commanding the shift and becoming an AI evangelist 💡Reimagining the tech stack, from SDLC to ADLC 💡Building AI-centric teams beyond coders 💡Driving ROI by innovating with accountability 💡Securing by design for AI security and governance Be sure to check out my full piece in InformationWeek here https://lnkd.in/erj2bAEN
ADLC is perfect concept 👍
Thanks for sharing, Sanjeev Vohra. Insightful.
I renjoyed reading this. Interesting definition of future CTO.
Thanks for sharing, Sanjeev. If I may add—while CDAOs are primarily accountable for driving value from data assets and overseeing the broader data ecosystem, in my experience, CTOs often hold shared or dotted-line responsibility for areas like end-of-life data management, archiving, data quality, lifecycle capabilities, and systematic data value realization. With AI, for sure the way to enable Data Quality has changed from primitive ways of traditional DQ Tools providing mere insights on count of errors, to AI based self healing DQ constantly checking for anomalies, inconsistencies, or duplicate records and triggers rapid 'auto cleansing' or smart imputation before sending alerts (at least that's what we are doing for Genpact's Clients using our Agentic Data Control Center). Continuous Data ROI assessment is a key topic—AI-driven analytics now tracks usage, value contribution, and business impact of 'data assets' in real time, enabling CTOs or CDAOs to phase out low-value initiatives or assets and prioritise ones with high impact.
Thanks for sharing insights , Sanjeev!
Hands-On: Engineering | Solution Architect @ Automation [RPA | GenAI | Agentic AI] | Cloud | DevOps | Python | Golang | Java
3wThoughtful post, thanks Sanjeev Vohra