How to avoid the AI pilot trap and achieve real impact

As noted it's really important to keep in mind that "AI is not just about tech. It’s about strategy, scale, and measurable impact"

Is your company building an AI factory or just running pilots? Sven Oehme, CTO at DDN, breaks down how enterprises can industrialize intelligence with real impact. He explains the AI factory model, why CEOs and CIOs must lead, and four principles that matter most: tie AI to the P&L, target critical value chains, fix processes before automating, and architect for scale and governance across AI Infrastructure. Learn how to turn experiments into enterprise outcomes and accelerate competitive advantage at scale — read the full Forbes piece now.

Is your company building an AI factory or just running pilots? Sven Oehme, CTO at DDN, breaks down how enterprises can industrialize intelligence with real impact. He explains the AI factory model, why CEOs and CIOs must lead, and four principles that matter most: tie AI to the P&L, target critical value chains, fix processes before automating, and architect for scale and governance across AI Infrastructure. Learn how to turn experiments into enterprise outcomes and accelerate competitive advantage at scale — read the full Forbes piece now.

Innovation is the new currency of growth. Agentic AI isn’t just about automation—it’s about amplifying human creativity and transforming how businesses deliver value. According to IDC, companies embracing AI orchestration will release products 400% faster and unlock new customer experiences. The future belongs to those who treat AI as a strategic partner, not a tool. Let’s build smarter, more adaptive enterprises—where innovation and empathy go hand in hand.

Capturing Singapore’s AI Advantage AI is reshaping how Singaporean organisations innovate, but technology alone isn’t enough. As GitLab CTO Sabrina Farmer shares with The Business Times, success will come from closing the human–AI partnership gap, choosing AI solutions that scale with your organisation, and driving innovation with AI, not just efficiency. The future belongs to organisations that use AI not just to do things faster, but to reimagine what’s possible.

RAND says 80% of AI projects fail. Gartner found that less than half make it to production. BCG reports that only a quarter ever scale. S&P Global adds that 42% of companies have abandoned most of their AI initiatives altogether. That’s not a technology problem... That’s a systems problem. These numbers don’t describe failure, they describe disconnection: - between ambition and architecture, - between data and decision-making, - between what leaders say they want from AI and what their organizations are designed to deliver. We’ve seen this pattern play out the same way every time. AI starts as a pilot, turns into a project, and then dies as an orphaned prototype; because it never had a home in the business strategy. The irony is that AI isn’t exposing gaps in capability, it’s exposing gaps in clarity. Technology scales what already exists and if what exists is misaligned, it just scales the confusion. Does your organization know what your AI initiatives are working toward?

💡 My observations since joining Pebble AI 🚀 AI Adoption Is Rising — But Most Enterprises Are Still Stuck in Pilot Mode 88% of organisations now report using AI in at least one business function — up from 78% last year. But here’s the reality: most are still experimenting, not scaling. While AI promises efficiency and transformation, adoption gaps remain clear: ⚙️ Lack of skilled AI talent 💰 Funding and resource constraints 🧭 Weak governance and unclear strategy 🔐 Data security and model bias challenges At the same time, Generative AI is reshaping how businesses operate — from document processing and predictive analytics to software development and security operations. Startups are moving fast, while many large enterprises are still figuring out how to move from proof-of-concept to production. 💡 This is where Pebble AI comes in. We help enterprises adopt, govern, and scale AI securely — with the observability, compliance, and control they need to move beyond experimentation. Whether it’s enabling your teams to build secure AI workflows, ensuring data protection, or providing clear governance frameworks, Pebble AI empowers organisations to realise the full value of AI — safely and strategically. 💡 The future belongs to enterprises that can scale AI responsibly. Pebble AI is here to make that possible. Let's connect today! #AI #EnterpriseAI #GenerativeAI #Innovation #AIAdoption #PebbleAI

How are you moving beyond transformation? Most organizations don’t need another “initiative.” They need an operating model that senses, decides, and acts continuously so the business gets smarter with every transaction, interaction, and exception. To become an intelligent enterprise in 2026, shift: - From projects to products: persistent, cross-functional teams accountable for outcomes. - From data exhaust to decision advantage: real-time, governed, reusable data products. - From isolated AI pilots to closed-loop systems: sensing → predicting → acting → learning. - From tech-first to value-first: clear metrics, guardrails, and business ownership. Stop asking “What’s our AI use case?” Start asking “Which decisions will we reinvent and how will we accelerate learning across the enterprise?” How is your organization moving beyond transformation? #IntelligentEnterprise #DigitalTransformation #AI #GenAI #DataStrategy #ProductManagement #EnterpriseArchitecture #Automation #MLOps #Leadership #ChangeManagement https://lnkd.in/gJTF_hzX

Had a lot of fun co-authoring this article with Max Omlie, exploring how Agentic AI is reshaping supply chains as we know them - and the transformative impact it’s set to have across industries. With traditional automation reaching its limits, agentic systems are now stepping in to reason, adapt, and execute autonomously. From predictive reordering to multi-agent orchestration, these technologies are transforming warehouses across the world into intelligent, adaptive ecosystems. For business leaders, this shift isn’t just about efficiency, it’s about building organisations that can think and adapt in real time. The potential here is huge - and we’re only at the beginning. How do you see agentic AI reshaping your industry? #ArtificialIntelligence #SupplyChain #Innovation #Cognizant

Technology Magazine: Red Hat on how to build durable, AI‑ready enterprises Red Hat’s Michael Ferris explains why resilience alone won’t cut it and how AI readiness demands adaptability built into culture and operations.