AI adoption, platforms, and the decisions shaping enterprise AI strategy.
Ram Srinivasan, Managing Director for AI Adoption, AI Integration, and Future of Work Advisory at JLL, explains who answers for an AI agent's actions, and what a company has to record before anyone can.
Joseph Feld, Senior Full-Stack Engineer in AI Systems Architecture at Ford Motor Company, says the specification carries every architectural decision, leaving the coding agent nothing to infer on its own.
Stephen McGowan, Founder of TrolleyRelay, explains why unfinished work limits teams building with AI agents, and what he gates before an agent writes anything.
Ahmed Mohamed, a Database Administrator at Al Moammar Information Systems Co., shares tips for building medical AI, covering model selection, clinical validation, local data, and deployment constraints.
Sairam Krishnan, Senior AI/ML Engineering Leader at Apple, lays out an agent memory design that keeps enterprise work reliable when models are tuned to top benchmarks.
Reda Miraoui, Data and AI Architect at SAP, outlines how enterprises can bound what agents access and change while keeping a person accountable for actions that cannot be reversed.
Surya Jayanti, Director of Software Engineering at Walmart Global Tech, explains why database governance now belongs to the Kubernetes platform layer as short lived AI applications multiply across the enterprise.
Numeral's CTO keeps his stack to S3 and Postgres. He explains why giving agents fewer things to reach for is the only containment strategy that scales.
Florian Zeba, Principal Enterprise Architect Data & AI at ORBIS Austria, explains why Postgres has become the default enterprise AI database and where its operational limits actually sit.
Palanivel Rajan Mylsamy, Director of Engineering Program Management at Cisco and author of The Agentic TPM, explains why the agent era rewrites planning rather than just execution, and why the TPM becomes an orchestrator of humans, agents, and autonomous workflows.
Sai Santhosh Goud Bandari, Generative AI Developer at TCS, explains why the POC-to-production gap in banking AI traces back to governance, security, and legacy infrastructure.
Bertin Nono, a data engineering leader, argues that AI productivity gains only become reliable operational intelligence when a governed, graph-based semantic layer carries the business context that LLMs cannot supply on their own.
Praveen SIVA, Program Manager at JPMorganChase, explains why most enterprise GenAI pilots stall in experimentation and what the small minority that reach production do differently inside their workflows, ownership, and governance.
Leszek Wisniewski, a Senior Engineering Manager at Magic Leap, argues that agentic AI is reshaping engineering work so that individual contributors now orchestrate agent teams, tie their work to business outcomes, and own everything those agents touch.
Software Engineer Melonie Miller of HST Pathways on how explicit standards become the guardrails that protect quality as AI coding tools magnify engineering variance.
Kjersten Moody, CEO for North America at Elai, explains why near-universal AI adoption produces almost no P&L impact and what the small minority of companies generating real returns do differently.
E.G. Nadhan, Chief Quantum Ambassador at QuantaCyber, explains why AI has compressed the modernization timeline so drastically that enterprises can no longer treat transformation as a periodic upgrade and must instead orchestrate people, process, and technology as a continuous discipline.
Dr. Aswini Misro, NHS England Clinical Entrepreneur, argues that alert fatigue stems from poor signal design, not alert volume, and requires personalized baselines and layered agent hierarchies before human escalation.
Shruti Kaushal, Senior Data Scientist at AbbVie, explains how an anomaly detection framework catches duplicate patients and site-level risks before they compromise clinical trial integrity.
Jorg Huser, CTO and Co-Founder of Big Barn Group, explains why AI capability without human authority creates security and accountability gaps, and why workforce design matters more than infrastructure spending.
Jaspal Dhalliwal, Cloud Solutions Architect, argues that the check on AI adoption is overdue, as rising costs and infrastructure strain force enterprises to rethink where AI should run.
Chris Obermeier, VP, AI Automation at DrFirst, explains why top-down mandates to "do AI" produce fragile demos that collapse in production, and why durable gains come only from treating AI as a governed tool within existing architecture.
José Freitas, Lead Enterprise Architect at IATA, explains why rushing the discovery phase turns enterprise AI investment into a long-term liability.
George Alexandrou, Enterprise Technology Strategist and Fractional CTO at Bridgepointe Technologies, argues that clear planning and traditional development approaches can help organizations adopt useful AI while keeping budgets intact.
Luis Lozano Paredes, Lecturer at the University of Technology Sydney, argues that AI's inability to reason from situated experience makes curation, judgment, and contextual steering the core of human value.
Andreas Hamberger, Director and Chair of the Board at Te Pono, argues that bias stems from the trade-off between veracity and speed, and that architects need to flip that to realize AI's full potential.
Sanjar Sapar, a Senior Site Reliability Engineer at Early Warning, discusses the dangers of over-engineering AI projects and how rock-solid scaling strategies can help
Gaganjot Singh, Principal Engineer at Nagarro, says the real shift in AI-driven development is not speed but volume, and that developers who fail to evolve into orchestrators of agent-driven workflows risk falling behind.
Roney Nascimento, AI Solutions Developer at St. Paul's School, talks from experience about the hurdles of AI adoption and how it can curtail efficiency without a clear strategy.
Deepan MN, a Lead Data Scientist at Zoho, explains the importance of data, governance, and open-weight AI models in building differentiated, enterprise-class software.
Maksim Micheliov, Independent Product Developer at WorldBrief, says software is evolving faster than traditional roles can adapt, and the challenge lies in guiding AI to produce meaningful outcomes while maintaining human oversight.
Shreepada Rao, Vice President of Data Governance Management at State Street, explains why corporate AI initiatives remain trapped in short-term, siloed thinking that produces marketing hype instead of lasting customer value.
FiveLumens Founder and COO Andrew Hill explains why leaders must look past AI hype and fix their operations to augment people, drive growth, and deliver a winning customer experience.
Jerry Castille, CEO of QBase AI, says organizations are transforming how work gets done by deploying AI agents in real environments while keeping humans in charge of decisions, outputs, and system integrity.
Peter Blocker, Co-Founder and COO of IntoTexas, explains why enterprise AI adoption is producing inflated ROI projections that ignore the real costs of workforce training, role restructuring, and multi-year organizational change.
Anna Jibgashvili, Corporate VP at New York Life, explains why treating AI as a tool rather than redesigning workflows around it keeps productivity gains out of reach.
David Grannum, AI Architect and founder of the Vectis One sovereign AI engine, explains why organizations that deploy AI without business-specific context, structured data, and cost discipline are building systems designed to fail.
Vijayan Seenisamy, Group Transformation Lead at Woolworths Group, believes that agents perform best when organizations establish clear ownership, defined escalation paths, and ongoing management from the start, rather than relying on pilot projects in isolation.
Richard Harris Jr., VP and Head of Data & AI for the Americas at Valtech, explains why enterprise AI succeeds only when business users shape systems early and adoption is engineered into daily workflows.
Anshu Mishra, Director of Employee Experience at F5, says enterprise AI has moved beyond experiments into operational infrastructure by streamlining work, guiding decisions, and resolving issues across HR, legal, finance, and IT.
Grace Wu, a longtime banking data executive, explains how small language models enable audit-ready AI that integrates with legacy systems and meets strict regulatory demands.
Maria Santacaterina, CEO of SANTACATERINA, says enterprises are strengthening AI oversight to prevent cascading failures by keeping human judgment central throughout the system.
Paramita Bhattacharya, a 3x Chief Marketing Officer now serving as Limited Partner at Stage 2 Capital, explains why workforce transformation and evolving governance frameworks matter more than the AI tools themselves.
Preksha Shah, Head of Engineering at EnSpirit Technologies, explains why problem-first discipline, feasibility rigor, and incremental rollouts separate AI programs that deliver from those that drain budgets.
Damien Cummings of NUS-ISS warns that misguided AI adoption is creating 'hollow organizations.'
Arunima Thakur, a veteran enterprise transformation consultant with 33 years of experience, explains why the Kaizen principle of continuous, small-scale improvement is the discipline most AI initiatives are missing.
Joe Ligé, CEO of Culture Hive Media Group, explains how disciplined rollout, feedback loops, and integration turn AI from experiment into execution.
Sai Santosh Goud Bandari, Software Engineer at MetLife, shares a practical framework for building accountable, production-ready AI that earns trust and delivers durable value.
LogicEra’s Bil Ahmed says the future of AI depends on disciplined data foundations that replace BI reporting with systems designed to improve judgment at scale.
Kristin Gleitsman, a life sciences executive with experience at Veracyte, Guardant Health, and PacBio, discusses how enterprises can close the gap between AI's promise and its performance.
Paul Neuman of IT Services Demystified argues AI is ready for real work, but leaders must close the readiness gap by clarifying what they want to do, learning in production, and building trust.
Grasshopper Bank CCO Jason Boova outlines how AI removes manual friction in compliance work while keeping human judgment and accountability firmly in control.
Armel Roméo Kouassi, SVP at Northern Trust Corporation, explains how businesses can gain a competitive advantage by leveraging autonomous AI systems to augment human performance.
Balesh Lakshminarayanan, CEO of Abilytics, says the power of enterprise AI isn’t in the models but in orchestration, turning complexity into streamlined workflows, cost control, and strategic leverage.
Barbara Cresti, Founder of StratEdge and former AWS executive, explains why AI adoption stalls at proof of concept when organizations lack a defined business strategy, clean data, and executive alignment to treat AI as a strategic enabler rather than a standalone tool.
Steve Harris, Founder of AI4Enterprise, says Microsoft's default rollout of Copilot is not a feature release but a structural shift that exposes governance debt while creating dependency far deeper than software lock-in.
Brent Summers, Senior Manager, Marketing at Qualcomm Technologies, explains why the shift from the cloud to on-device processing could create a new paradigm for faster, more private.
Capulet Poehner, a seasoned product leader at Best Buy and Amazon, demonstrates how vibe coding lets teams validate ideas in days and shift product decisions toward real data, not process.
Microsoft released Fara-7B, a 7-billion-parameter AI agent designed to run locally on a user's PC to automate web-based tasks.
Subramanian Iyer, Chief AI Officer at Siliicogenix, explains why agentic AI could dismantle dysfunctional corporate silos, encouraging firms to reorganize for profitability.
Will Clevenger, a Senior Director of Strategy at Avanade, explains why the AI race is a marathon, not a sprint. Prioritize process and small models for real ROI.
Anand Rao, Director of the Center for AI and the Liberal Arts at the University of Mary Washington, explains how to make higher education AI-relevant.
Andrea Puckett, Director of Platform Sales at League, explains why healthcare organizations often struggle to orchestrate AI agents into a coherent and trustworthy patient experience.
Nick Heinzmann, Head of Research at Zip, on how his company is rebuilding procurement around agentic orchestration strategies.
A geopolitical wake-up call is reshaping enterprise technology. Nicola Cogotti, founder of Alpha Cogs, discusses how the push for tech sovereignty is ending vendor-lock, changing investment strategy.
Elias Tharakan, CEO of AI-powered clinical trial company CliniDash, advises starting with real-world problems rather than technology.
Hyoun Park, Chief Analyst at Amalgam Insights, says analysts must move beyond reporting and become strategic data actors who understand context and action.
