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.
Surya Jayanti, Director of Software Engineering at Walmart Global Tech, on running separate delivery lanes for professional engineers and frontline vibe coders, and why the semantic layer will outlast any model.
José Freitas, Lead Enterprise Architect at IATA, on why architecture tools can reveal a company’s weak points, but they can’t resolve its ownership problem.
Lem Prestage, Group IT Manager at Southbase Group, on how a voice AI agent and orchestration across 70-plus SaaS platforms turned slow, low-quality safety reporting into fast field-level data.
Global CTO and AI Officer, Vishal Vallabha, explains why private equity gets AI returns only after the data underneath is connected, not from a dashboard sitting on top.
Kenneth Burdine, Deputy CIO of the Kentucky Community and Technical College System, described how treating AI as a force multiplier for proactive operations rather than a novelty technology helped KCTCS compress a network deployment.
The AI bill is coming for everyone. CIO Mastermind founder Scott Smeester explains how technology leaders can avoid getting caught flat-footed.
Jason Andrews, VP of Strategy and Planning for Engineering Operations at Cisco, on why platform migrations work best when teams leave process debt behind.
Sergey Sergeyev, VP of EA and Chief AI Architect, on why vibe-coded replacements are pulling the foundation out from under the enterprise.
Ashish Kulkarni, Principal Enterprise Architect on how frontier models have converged enough that the sole differentiation in enterprise AI is orchestration, governance, and surrounding data quality.
Wendy Turner-Williams, Chief Data and AI Officer at SymphraAI, on were enterprise AI transformations are stalling on ROI as leaders measure technology deployment instead of the decision quality.
Andy Armstrong, Head of Business and Market Strategy for Credit Analytics at S&P Global, on why risk data must reach the analyst, not just the system, to accelerate credit and supplier decisions.
Tom M. Gomez, Managing Partner at Luminity Digital, on how LLM providers are systematically collapsing the middleware stack, structurally displacing cognitive-era data platforms.
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