How Foundation Models Are Transforming Industries with AI

Gartner predicts 40% of agentic AI projects will fail by 2027. The challenge isn’t the AI itself; it’s how the workflows are designed. Without the right structure, even advanced AI struggles to manage unstructured data, ambiguity, and complex decisions. Agentic AI workflows that combine multi-agent coordination, learning loops, and autonomous decision-making can turn complexity into outcomes. The question for enterprises isn’t if they will use agentic AI, but how effectively they will harness it. #Wissen #AgenticAI #AIWorkflows #EnterpriseAI #DigitalTransformation

What’s Bad, Good, and Great for Businesses (AI Edition) 🤖 Follow me if you want to scale your business without tech overwhelm using smarter AI systems.

Many AI experiments fail because they repeat the same mistakes from the early digital transformation era: lots of hype, many pilots, little that scales. Check out “Beware the AI Experimentation Trap” where the authors warn that 95% of generative AI investments produce no measurable returns. They argue that much of current experimentation is diffuse, disconnected from what customers really need, and overly focused on flashy or peripheral tests instead of core capabilities. Key lesson: anchor AI experiments in solving real customer problems.  “The takeaway is not that AI experimentation is broken, but that it must be disciplined — focused on solving core customer problems; chosen with frameworks like intensity, frequency, and density; run at low cost to enable iteration; and designed with scaling in mind through empowered ‘ninja’ teams.” For product designers & PMs, that means: before building or approving yet another pilot, ask: • What customer-pain does this address, and how often? • How intense is the need vs how visible is the opportunity? • Can we test cheaply, learn fast, and scale if successful? It’s tempting to chase novelty with AI. But without customer-centric discipline, we risk repeating the digital transformation cycles where many firms experimented a lot—and few really delivered. If you want strategies to escape this trap, this article is well worth your time. 🔗 https://lnkd.in/e4BFZNGG #productdesign #AI #PM #experimentation #customersuccess Thanks Dimitri Samutin for sharing this article initially.

🚀 Enterprise AI doesn’t fail because the models are weak. It fails because the context isn’t engineered right. Prompts and RAG were a good start but they don’t scale. Once you design the information environment around the model with hybrid retrieval, structured memory and smarter integrations, AI finally becomes reliable, trusted and adopted. That is the power of context engineering. It is the real foundation of enterprise AI. 👉 Full article link in the comments. #AI #EnterpriseAI #ContextEngineering #Innovation #IWConnect

Is the future of AI truly open source? Many businesses face a pivotal decision: embrace the potential of AI while navigating the complexities of trust and geographical considerations. It was interesting to see one company's approach to helping businesses organically adopt AI, especially given the challenges of usage costs and rate limits associated with cloud-based solutions. The emergence of models like GPT-OSS presents an intriguing option, potentially solving concerns around trust and familiarity for organizations hesitant about international open-source alternatives. Perhaps the key lies in finding a balance between innovation and reliability. Would love to hear your thoughts on the open-source AI movement and its implications for businesses. #OpenSourceAI #AIAdoption #BusinessStrategy #Innovation #ArtificialIntelligence

AI & ML are no longer just buzzwords-they're transforming industries in real time. 🚀 At Final Layer, we believe the power of AI & ML lies in solving real-world challenges with data-driven innovation. From predictive analytics to automation, these technologies help businesses make smarter decisions, save time, and create future-ready solutions. The real question isn't whether AI & ML are the future-they're already here. The question is: Are we using them to their fullest potential? #AI #MachineLearning #DataScience #FinalLayer #Innovation #Technology

🚨 95% of AI Projects Fail. Here's Why That’s a Good Thing. 🚨 A recent MIT study revealed that a staggering 95% of enterprise generative AI projects fail to deliver meaningful business impact. Despite investments totaling between $30 billion and $40 billion, most organizations are seeing zero return on their AI initiatives. But here's the silver lining: these failures are not just setbacks, they're valuable lessons. These insights⬇️ underscore the importance of a strategic, thoughtful approach to AI adoption. Rather than viewing AI as a catch-all solution, we should focus on clear objectives, quality data, and seamless integration into our business processes. Let's learn from these failures to build more robust, impactful AI strategies moving forward. #AI #MachineLearning #BusinessStrategy

Most teams prompt an LLM like this: → One question. One answer. One bottleneck. But the smartest teams? They’re multi-prompting. Breaking big problems into smaller steps. Running prompts in parallel. Orchestrating agents that talk to each other. That’s efficiency. That’s scale. That’s how you get real business value. NeuralSeek makes it possible: no code, no hacks, no waiting. Just reliable, human-guided AI agents that deliver results. Build smarter. Test faster. Scale bigger. That’s the future of enterprise AI. #AI #GenAI #Efficiency #NeuralSeek

🚀 The AI landscape is rapidly evolving but terms like "AI/ML" are no longer enough to capture the true innovation happening today. What excites me most is the shift towards Agentic AI and RAGs (Retrieval-Augmented Generation) — technologies that are redefining how businesses build intelligent, context-aware and scalable systems. I believe the future isn’t just about building models — it’s about creating AI systems that think, adapt and act with purpose. 👉 What’s your perspective? Are we ready to move beyond traditional AI/ML and embrace the new wave of Agentic AI? #AgenticAI #ArtificialIntelligence #RAGs #FutureOfAI #Innovation

AI is moving fast, but is your business ready to keep up? Before you invest in the tools, it’s worth pausing to ask: 🔹 Is the strategy clear? 🔹 Is our data in shape? 🔹 Do we have the skills to execute our strategy? We created a 9-minute AI Readiness Assessment to help leaders consider the right questions, and plan accordingly. https://lnkd.in/eMhMy_5E #AIReadiness #AIStrategy #AI