Enterprise AI
Agentic AI, AI Agents & Strategy for CIOs and Technology Leaders
Former JSX CIO, Craig Airitam, on why durable enterprise AI value lives in the guardrails, observability, and contracts around the model rather than in the model itself.
Pawanjit Singh, CIO of Centria Autism, on why AI use cases reach production only when they answer to a business value driver, and why every new agent starts its career as a closely supervised intern.
Khwaja Shaik, CTO, Industry Market at IBM, Board Director (MOSH), on why a risk-based intake framework, cross-functional governance committee, and board-level oversight give enterprises the structure to scale AI without slowing down.
Krishnamurthy Rajesh, CIO of Digital Transformation and AI Strategy at Vinmegham, on why "on the loop" supervision gives enterprises both the efficiency gains and the accountability structure that "in the loop" oversight can't deliver simultaneously.
Aaron Rallo, Co-Founder and CEO of Trovia, on why the last stretch of an AI project is the hardest and what it takes to clear security review.
Pranav Kumar, Sr. Director of Digital, Data & AI at Capgemini, explained why centralized governance is the missing infrastructure that determines if enterprise AI agents create value.
Shaukat Ali Khan, Executive CDIO at NHS West Yorkshire Integrated Care Board, outlined why most AI pilots stall and how data, governance, and skills turn experiments into impact.
Juan Antonio Peña González, a Principal Enterprise Architect and CTO Advisor at Google, offers a new path for AI governance.
Shawn Harrs, EVP and CIO at Red Lobster, on how AI is breaking cloud and on-prem parity, forcing CIOs to align capability and cost.
Geoff Kau, Head of AI and Corporate Functions Technology at JLL, on why commercial real estate can’t unlock AI’s value until it addresses data debt.
.webp)
On a recent podcast, TIAA's Sastry Durvasula outlined the company's "three-legged stool" approach to AI development, and shared TIAA's most impactful use cases.
Doneyli De Jesus, Solutions Architect at ClickHouse, on how Anthropic is proving that the future of AI will be decided by those who control the end-to-end stack.
Joe Cordeira, Chief Data and Analytics Officer at UBS, created an AI driven flywheel that scaled advisor expertise into a system delivering millions of insights.
.webp)
Workato field CTO Avinash Deshpande explained the key pillars of any AI-ready data strategy, and how to turn proprietary assets into monetary returns.
Bank of America announced 270 active AI models across its business, a strategy its CEO says is building a competitive "moat."
The World Bank's Sheila Jagannathan explained how companies can escape the AI trap with re-engineered processes and a hybrid workforce.
Shivkumar Thiagarajan, Co-CEO of DynPro Inc., on AI's role as a "digital archaeologist" within organizations.
Most Popular
