As AI becomes embedded in operations, the stakes change. Thai Vong examines when an AI initiative has truly earned the right to scale: spr.ly/63320BGBpqe #FoundryExpert #EnterpriseAI
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The biggest AI agent challenge may not be building them. It’s keeping them secure and running when things fail. Watch Mark Fussell of Diagrid demonstrate Catalyst with Keith Shaw on DEMO: spr.ly/63326BG6r0q #DEMO #AgenticAI
Many teams optimize Kubernetes for peak demand and never scale back down. Keith Shaw and DevZero CEO Debo Ray discuss a different approach. Watch the DEMO episode: spr.ly/63328B1fsiQ #DEMO #FinOps
The AI model race won't slow down. Enterprise strategy can't depend on picking a single winner. Ian Fischer and Shumeet Baluja explain why abstraction, portability, and flexibility matter now. spr.ly/63320BEhXw8 #FoundryExpert #EnterpriseAI
Many organizations are measuring what AI can do. Fewer are asking what work humans should focus on next. Trevor Schulze explores the distinction. Read: spr.ly/63326BE7D3I #FoundryExpert #Leadership
Enterprise AI programs are generating more metrics than ever. Pete Johnson explains why metrics alone won't secure long-term investment. Read: spr.ly/63327BE78yZ #FoundryExpert #CIO
The cost of regulatory lag is rising across every industry. Saurabh Joshi outlines how organizations can turn compliance readiness into an innovation advantage. Read now: spr.ly/63321BE2B9S #FoundryExpert #RiskManagement
AI's climate impact discussion often starts with models. Max Romanenko argues leaders should start with the data layer. Read: spr.ly/63329BE0I0D The biggest efficiency gains may happen before prompts ever reach an LLM. #FoundryExpert #SustainableIT
As organizations move beyond vibe coding, governance becomes the differentiator. Magesh Kasthuri examines how forward-deployed engineering enables responsible autonomy. Learn more: spr.ly/63329BELhV7 #FoundryExpert #DigitalTransformation
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
Every enterprise wants more visibility. But does more data actually create more clarity? Keith Shaw and Selector Systems Engineer Aravind Prabhakar examine how AI can connect signals across networks, infrastructure, and cloud environments. See the demo: spr.ly/63324BEbzrn #DEMO #AIOps
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