Terms like Machine Learning, Generative AI, LLMs, and AI Agents are everywhere—but what do they actually mean for your business? I just released a new video that breaks it all down in plain English. It’s designed for business leaders and technical professionals in SMEs who want clarity, not confusion. By the end of the session, you’ll be able to: • Speak confidently about key AI terms with your team and clients • Spot what delivers real ROI—and what’s just buzz • Brief your team, challenge vendors, and identify quick wins • Choose tools that align with your business needs The goal isn’t to impress anyone with jargon. It’s to help you make better, faster decisions with a clear understanding of what matters. Watch the full video here: https://lnkd.in/eGeHqNqg If you're evaluating AI for your business or team, this is a solid place to start. Eething finally clicked for you—what was the one concept that became clear? #AI #AIforBusiness #GenerativeAI #MachineLearning #AIAgents #DigitalTransformation #SME #BusinessStrategy #Automation #LLM #NoCodeAI #AIAutomation #BusinessGrowth #AiGenticLab
New video: Decoding AI terms for business leaders
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“If your AI can’t learn from you, it will never work for you.” This perfectly captures what we see every day in the field. The real value of AI lies in how well it learns your context, your business and your world.
GM | Former CEO | AI & Digital Transformation Leader | Enabling Saudi Arabia’s Vision 2030 | $100M+ P&L | Strategic Growth Across BFSI, Energy, Government
Simplyfing AI Article #17: The Hidden Cost of Plug-and-Play AI: Everyone wants “plug-and-play” AI — fast, cheap, and effortless but here’s the truth: most of those “easy wins” never reach the finish line. Over 90% of GenAI pilots today never move beyond experimentation. Not because the models are bad — but because they don’t learn. They don’t adapt to your workflows. They don’t remember your context. They don’t get better with use. In short, they’re tools without memory — and that’s a dead end. Real AI transformation doesn’t come from flashy demos; it comes from systems that learn from feedback, integrate deeply, and evolve with your business. If your AI can’t learn from you, it will never work for you. SAS builds learning-capable AI ecosystems designed to adapt continuously through feedback loops, integration with enterprise systems, and trusted governance, SAS helps organizations move from isolated experiments to measurable business outcomes. We call it Responsible, Explainable, and Evolving AI.
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Simplyfing AI Article #17: The Hidden Cost of Plug-and-Play AI: Everyone wants “plug-and-play” AI — fast, cheap, and effortless but here’s the truth: most of those “easy wins” never reach the finish line. Over 90% of GenAI pilots today never move beyond experimentation. Not because the models are bad — but because they don’t learn. They don’t adapt to your workflows. They don’t remember your context. They don’t get better with use. In short, they’re tools without memory — and that’s a dead end. Real AI transformation doesn’t come from flashy demos; it comes from systems that learn from feedback, integrate deeply, and evolve with your business. If your AI can’t learn from you, it will never work for you. SAS builds learning-capable AI ecosystems designed to adapt continuously through feedback loops, integration with enterprise systems, and trusted governance, SAS helps organizations move from isolated experiments to measurable business outcomes. We call it Responsible, Explainable, and Evolving AI.
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The Future of AI: Why Bigger Isn’t Always Smarter. I’ll admit — I used to think AI’s future was all about building bigger models with more parameters. More power, more data, right? But recent insights from [TechCrunch](https://lnkd.in/gbQbuudV) show the next frontier is about ‘scaling understanding’—creating AI that actually gets context, reasons, and explains its decisions. This shift is a game changer, especially for us leading development teams or making strategic business decisions. For example, next-gen AI doesn’t just process text; it integrates images, audio, and more to be truly adaptable across industries ([LinkedIn](https://lnkd.in/g4nZ_cGu)). From my experience building custom AI solutions blending OpenAI, Anthropic, and n8n automation, models that prioritize interpretability have a direct impact on trust and cost-efficiency—vital for small to medium businesses ([Medium](https://lnkd.in/gsAZX7Uu)). One lesson I’ve learned is that bridging technical AI literacy with business goals isn’t optional anymore — it’s essential. When stakeholders understand AI’s 'why' and 'how,' adoption accelerates and outcomes improve. Where are you seeing the biggest opportunities or challenges in moving AI from size to real understanding? I’d love to hear your perspective—drop a comment or send me a message. If you want to stay in the loop on practical AI strategies, consider following my profile as we navigate this smarter AI future together. #ArtificialIntelligence, #AI, #MachineLearning, #TechInnovation, #DigitalTransformation, #ExplainableAI, #AIInterpretability, #AIIntegration, #BusinessStrategy, #AIDevelopment, #FutureOfAI, #ScalingAI
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🚀 Working Smarter with AI — Not Harder I recently went through "Perplexity at Work: A Guide to Getting More Done" (https://lnkd.in/gtcFFrcU), and it’s a brilliant guide on how AI can transform the way we work — not by replacing us, but by amplifying what we do best. The guide shares a simple yet powerful approach to working smarter with AI: ✨ Block distractions – Use AI to protect your focus and eliminate the noise. 💡 Scale yourself – Let AI handle the heavy lifting while you lead with creativity and strategy. 📈 Get results – Turn that clarity into real, measurable impact. Tools like Comet, Labs, and Spaces show how AI can be your true work partner — helping with everything from research and content creation to workflow automation, freeing up time for what truly matters. The biggest takeaway for me? 👉 When AI takes care of the friction, you finally have the space to think deeply, create boldly, and move faster. #AI #Productivity #FutureOfWork #Perplexity #ArtificialIntelligence #WorkSmarter
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We’re sharing what we’ve learned after 100+ AI projects (Cisco, European Space Agency, and even the Vatican) with mentors like Lukasz Kaiser (the tech behind modern LLMs), including: • Why 90% of AI projects fail (and how to avoid it) • Lessons from real use cases in your industry • A simple 10-point AI Maturity Assessment to benchmark your org It’s free, practical, and designed to give you a clear, benchmarked path forward. Comment #AI below and connect with me and I'll share the info with you.
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12 Brutal Realities of AI Agents (And Why 89% Fail Before Deployment) Everyone’s talking about AI agents that promise to run your business while you relax with coffee. The demos look perfect. The marketing sounds unstoppable. But here’s the brutal truth: 89% of AI agent projects never make it past pilot testing. Why? Because most companies ignore the hidden realities behind AI deployment — data chaos, integration nightmares, and unrealistic expectations. In my latest blog, I break down the 12 brutal realities of AI agents that vendors never mention — and how a Fractional CTO can save your business from costly mistakes. If you’re serious about using AI effectively (and not wasting thousands on hype), this is a must-read. 👉 Read here:https://lnkd.in/gV27qWuG #AI #ArtificialIntelligence #BusinessAutomation #FractionalCTO #StartupHakk #TechLeadership #DigitalTransformation #AIAgents
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🌐 New on BIX Tech: What are custom AI #Agents and how can they transform your business? #AI is everywhere but the real game-changer is when AI works with your own data. In our latest post, we dive into how custom AI agents go beyond generic models by connecting to your internal systems, offering tailored insights, and even executing tasks autonomously. You’ll learn: • What custom AI agents are • How they operate step by step • Major benefits, from security to scalability • Real-world use case in business • Why adopting them now gives you a competitive edge 👉 Read the full post now: https://lnkd.in/dv5m3Z8X Ready to take the next step? Get in touch with our team and see how a custom AI agent can turn your data into actionable intelligence. 💡 #AI #CustomAI #DataDriven #BIXTecnologia #Innovation #BusinessIntelligence #TechTrends
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💡 AI isn’t expensive. Bad implementation is. Too many AI projects fail — not because the tech doesn’t work, but because it’s disconnected from business goals. The best-performing organizations start small, scale strategically, and link every algorithm to measurable KPIs. 📊 According to Gartner, 80% of AI initiatives fail due to unclear strategy. Let’s change that. 👉 Read more about how we align AI with business outcomes at www.analyticsgroup.co.za . What’s your biggest challenge with AI ROI? Share your thoughts below. #AIROI #MachineLearning #DigitalTransformation #AnalyticsLeadership #DataStrategy
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𝗕𝗲𝘆𝗼𝗻𝗱 𝗢𝗻𝗲-𝗦𝗶𝘇𝗲-𝗙𝗶𝘁𝘀-𝗔𝗹𝗹: 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗔𝗜 𝗶𝘀 𝗖𝘂𝘀𝘁𝗼𝗺 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴! Just saw some fascinating research about runtime-learning accelerators like the AdapTive-LeArning Speculator System (ATLAS) and it got me thinking... We're entering an era where AI, particularly LLMs, isn't just about pre-trained models, but about constantly learning and adapting based on real-time data and specific user needs. Imagine AI that's hyper-personalized to your workflow, continuously optimizing its performance based on *your* specific interactions. That's the promise of systems like ATLAS, which can dynamically adjust to improve LLM inference. This shift towards custom learning is HUGE for everything from enhanced productivity to more effective problem-solving. Instead of fitting ourselves to the limitations of a generic AI, the AI adapts to us! What are your thoughts on the potential of runtime-learning accelerators and their impact on the future of AI-powered tools? How do you see custom learning shaping the landscape of your industry? Let's discuss! 👇 #AI #MachineLearning #CustomLearning #LLMs #ArtificialIntelligence #AdaptiveLearning #Innovation #FutureOfWork #ATLAS Read Full Article Here: https://lnkd.in/gwVMY2mm
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AI dominates every boardroom, but myths still linger. Some fear it replaces people, others think it’s plug-and-play. At i-Source Infosystems, we replace myths with method, building AI frameworks that empower teams, improve data quality, and scale responsibly. When you stop chasing hype and start designing purpose, AI becomes practical. Discover enterprise AI strategies: https://lnkd.in/ewK2bm7 #AIConsulting #GenAI #EnterpriseAI
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