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#CIO connects enterprise IT leaders with expert insights on business strategy, innovation, and #ITleadership. From career growth to #digitaltransformation, we help CIOs and technology executives drive success.
The next AI winners may not have better models. Steve Tout argues they'll have better systems for capturing, verifying, and compounding organizational intelligence. Read more: spr.ly/63321BEI29D #FoundryExpert #EnterpriseAI
Richard Ewing says many organizations are measuring AI costs the wrong way. Cost per request matters, but redundancy rate may reveal where margins disappear. Read the analysis: spr.ly/63324BEI2OO #FoundryExpert #ArtificialIntelligence
Keith Ferrazzi and Wendy Smith say most enterprises are focused on AI deployment while overlooking the bigger challenge: agent trust, identity, and governance across organizations. Learn why now: spr.ly/63329BEaiHd #FoundryExpert #EnterpriseArchitecture
Archana Choudhary has a blunt takeaway for AI leaders: stop asking AI nicely. Get practical frameworks for more reliable, auditable, enterprise-ready results: spr.ly/63325BESvGP #FoundryExpert #GenAI
Token caps are rising across enterprise AI programs. But are companies cutting waste or cutting value? Lexi Reese explores the hidden accounting challenge. Read: spr.ly/63322BEoeMn #FoundryExpert #DigitalTransformation
Here's a provocative take: consuming fewer AI tokens isn't necessarily winning. Rao Tadepalli explains why value creation matters more than efficiency alone. Read more: spr.ly/63322BElqDG #FoundryExpert #AIGovernance
Everyone is investing in AI. Too few are investing in the network behind it. Ed Fox explains why agentic AI demands real-time visibility, adaptability, and resilience across the enterprise. Learn more: spr.ly/63321BEczeh #FoundryExpert #AI
Everyone is talking about AI agents. Few are asking which kind they actually need. Bernard Aceituno outlines six architectures shaping enterprise AI today. See where conversational, autonomous, multi-agent, and HITL models fit: spr.ly/63329BEcKq7 #FoundryExpert #CIO
Here's the tension: CEOs want certainty on AI. CIOs often bring caution. Scott Smeester says that disconnect is sending executives elsewhere for answers. Read his perspective: spr.ly/63325BEdxhx #FoundryExpert #CIO
What happens when AI discovers weaknesses faster than humans can respond? Barry Baker outlines five actions CIOs can take to strengthen infrastructure before frontier-model threats escalate: spr.ly/63327BEdxJc #FoundryExpert #Security
What if the biggest test of your operating model isn't a cyberattack or outage, but a predictable event? Prakash Kota argues that if the World Cup disrupts your business, your data is too siloed for real-time decisions. Read more: spr.ly/63321BEbfYT #FoundryExpert #CIO
Are enterprises repeating the big data era's biggest mistake? Soham Mazumdar says that more information doesn't automatically lead to better AI outcomes. Read why reliability, trust, and context curation matter more than model access: spr.ly/63320BEksB2 #FoundryExpert #AI
Formula 1 teams don't win because they have the fastest engine. They win because every decision system works together. Karthik Chakkarapani sees a lesson for enterprise AI. Are you upgrading tools or redesigning work? Explore the blueprint: spr.ly/63326BEMf8q #FoundryExpert #EnterpriseAI
AI investment is soaring. Talent investment is not. Shane Shook warns that without stronger STEM pipelines, the US risks falling behind in the long-term AI productivity race. Get the full perspective: spr.ly/63325BEz8QU #FoundryExpert #FutureOfWork
Most cloud strategies were built around cost, scale, and control. Maman Ibrahim argues AI has already exposed their weaknesses. Quantum is exposing something deeper: decision-making itself. See why CIOs need better questions now: spr.ly/63324BEHHck #FoundryExpert #ITLeadership
AI is shrinking the time needed to access information. Nicholas Colisto says that makes a new bottleneck impossible to ignore: decision-making. Is your organization ready for AI-driven speed? Read the analysis: spr.ly/63326BEBqWu #FoundryExpert #DigitalTransformation
Are your AI gains real or just moving inefficiencies faster? Sara Magdalena Goldberger warns that automation often exposes fragmented processes instead of eliminating them. See what CIOs should address before scaling AI: spr.ly/63325BDNRCf #FoundryExpert #DigitalTransformation
CIO POV: Visibility isn't enough anymore. John Reuben says dashboards show status, but rarely show downstream impact across customers, operations, risk, and strategy. Explore why: spr.ly/63323BDN1n7 #FoundryExpert #ITLeadership
Enterprise AI is creating a new governance gap. Sunil Gentyala warns that autonomous agents operating at the API layer can bypass traditional monitoring entirely. Read why CIOs must rethink accountability before shadow agents become a blind spot: spr.ly/63329BDF3g7 #FoundryExpert
What if your AI strategy isn't the problem? Vipin Jain says many organizations are hitting roadblocks because AI workloads break traditional cloud assumptions. Read the analysis: spr.ly/63327BDFDW3 The real challenge may be deciding where workloads belong. #FoundryExpert #CloudComputing
Everyone wants AI outcomes. Few organizations rethink the foundation underneath them. Keith Linhart explores why transformation leaders must build for future AI needs without losing momentum today. Read more: spr.ly/63320BDLzMk #FoundryExpert #EnterpriseAI
Here's the tension: AI makes automation cheaper, but at scale it can be far more expensive. Raúl García Vega introduces a framework for understanding why "invisible" AI activity may be your biggest cost driver. Read the analysis: spr.ly/63322BDa3Ej #FoundryExpert #ArtificialIntelligence
For years, specialization was the default. AI is rewriting that playbook. Oleksandr Kondratiuk makes the case that engineers who understand both product and business context will define the next generation of high-performing teams. spr.ly/63325BDaJ9J #FoundryExpert #DigitalTransformation
John Wei’s take: Everyone has the same AI tools now. So why do some companies still pull ahead? Explore the strategy gap: spr.ly/63322BDWT6s Hint: It is not about buying more AI. #FoundryExpert #DigitalTransformation
You can leave hyperscalers. You can lower costs. Raul Leite says it still won’t fix what’s coming next. Read the full argument: spr.ly/63326BDYBIO The real risk sits in your dependencies. What’s your plan when AI finds everything? #FoundryExpert #ITStrategy
“Data-driven” is often a myth, says Shail Khiyara. Start here to rethink decision automation: spr.ly/63324BDg4Dy What if your best operators are quietly fixing broken data? #FoundryExpert #Data
Vikrant Kaulgud and Shruti Shalini: AI stacks are tightly co-engineered and hard to unwind. See why switching costs are rising: spr.ly/63323BDgFMV Is your AI strategy a bet on the wrong ecosystem? #FoundryExpert #AI
Can AI agents actually scale workflow automation across the enterprise? Keith Shaw sits down with Nintex SVP Suvrat Joshi. Tune in: spr.ly/63327BDgDXX The shift from rules-based to agent-driven workflows is here. What breaks first? #DEMO #DigitalTransformation