How to achieve exceptional results in data and AI with unconventional thinking.

For the past year, we've been obsessed with what AI can write. The next frontier is what it can see, hear, and understand. Welcome to Multimodal AI. This is technology that can process and reason across different types of information simultaneously:  • Analyzing charts and graphs within a PDF report.  • "Watching" a video and generating a summary.  • Taking a photo of a damaged product and creating a support ticket. This isn't science fiction; it's the next evolution of business process automation. Companies that start thinking about their visual and audio data today will be the ones who lead tomorrow. Learn how we can help you build reliable AI solutions at www.axonbuild.com.

Title: “Every Day I Feel Smarter — Then Dumber” Working in AI and building smart systems is strange. You feel like you're doing something futuristic… until the very tools you're creating make you question your own relevance. Every time I build or test a new system, there's a fleeting moment of pride — “Wow, I figured that out.” But it’s short-lived. Because just as quickly, I see the system doing what I do — faster, more efficiently, and without fatigue. It learns faster than I can. It reasons deeper than I expected. And when I feel smart, I realize: I’ve only made myself feel dumber again. Roman Yampolskiy, in his Diary of a CEO interview, talked about the singularity — the moment AI surpasses all human intelligence. It’s not sci-fi anymore. It’s unfolding in real time. Quietly, but rapidly. So I’ve stopped measuring my value by what I know. Instead, I focus on what I can still do that AI can’t: - Navigate ambiguity - Lead with intuition - Build trust - Give meaning to the output - Ask the “why” behind the “what” We won’t out-think AI — but we can out-human it. In this new world, your ability to remain self-aware, purpose-driven, and emotionally intelligent is your edge. So I’ll keep building with AI — not as a competitor, but as a co-pilot. And every time I feel dumber, I remind myself — Maybe that’s the beginning of real intelligence. What will you hold onto — when machines can outthink you?

AI has made knowledge free. That’s not the edge anymore. The real edge? - Picking the right problems - Doing them the smartest way - Building systems that multiply effort The future of work isn’t about knowing more. It’s about doing fewer things, better.

Human in the Loop ⚖️ AI is scaling fast, but here’s the question: can it truly decide without us? Here’s the catch: it can still miss context, misjudge edge cases, and make decisions that need… a human touch. That’s where Human-in-the-Loop (HITL) comes in. 🙋♂️Not humans everywhere, but humans where it matters most adding judgment, oversight, and responsibility to AI systems. this time we dives into why HITL matters and where it plays the most critical role in AI workflows striking the balance between automation and human judgment. Would love to hear your perspective. 👇

We're measuring AI success all wrong. Every executive dashboard shows the same metrics: processing speed, cost savings, efficiency gains. But what if these numbers are leading us toward a cliff? While we obsess over ROI, we're missing the real question: Does your AI give people back time for curiosity, courage, and patience? Or does it trap them in an endless optimisation loop where humans become the inefficiency to be eliminated? The uncomfortable truth? Finance gives us a shared language for value, but that doesn't make it right, just convenient. What if the one KPI we should have for AI is how well it helps us ask better questions, not how efficiently it answers the wrong ones? In a world optimised for everything except human flourishing, that might be the most radical measurement of all. Time is the one resource we can never optimise our way to more of. We can only choose how to spend it. Are we choosing wisely? https://lnkd.in/eK2dvZiA What's your take? Are we measuring what matters, or just what's easy to count?

𝗦𝗺𝗮𝗿𝘁𝗳𝗶𝗻 𝗷𝘂𝘀𝘁 𝗴𝗼𝘁... 𝘀𝗺𝗮𝗿𝘁𝗲𝗿! Introducing Smartfin AI Overview ✨ Tired of digging through endless filings and raw numbers? Our AI model distills complex company data into a crisp, plain-English summary you can understand in seconds. ✅ Positives - Our AI identifies strengths like profitability trends or growth. ⚠️ Negatives - Key risks such as margin pressure or slowing demand. 📊 Sector Context - See exactly where a company ranks vs. its peers. 💡 Clarity - Hover on metrics for quick explanations. Always up-to-date, the Smartfin AI Overview highlights what’s improving, what isn’t, and where the company stands in its sector - so you can spot changes fast and decide what deserves a deeper dive. This isn’t about replacing research - it’s about starting smarter. 👉 Ready to cut through the noise? See it live at: https://lnkd.in/d4E7_rw2 (and yes, it's free)

Most of discussion around AI is just hype 😁 nothing to be integrated, no concrete insights, just shiny dashboard 📈 Today it looks like with AI you can magically do everything, in reality AI still does so little without human control. AI is not magic! AI is science, research and analysis! And behind that, there are teams of data scientists and business experts that work together to generate tangible value. Next time someone promises you the moon with AI, you definitely know they are lying to you! Let me tell you how we do it in #Wizata: 1️⃣Start with a real problem/challenge 2️⃣ Leveraging existing data 3️⃣ Pilot for fast prototyping v1 4️⃣ AI and human collaboration for best performance 5️⃣ Once it's working, scale it industrially 6️⃣ Your data, your IP If you want to start your journey today, feel free to reach out to me or comment! 💪

Genuinely interested to know how people are thinking about the flip side of AI-driven productivity: will widespread adoption of AI ultimately diminish the value of productivity itself? Food & Bev as a business is typically behind the curve on tech adoption, but as a small business owner I believe this presents a huge opportunity for nimble independents to get ahead. At its most basic level, the question I have to ask myself is: how will the AI tools we use ensure that our productivity increases relative to average productivity growth? - Time Optimisation: Reclaim valuable hours. - Output Enhancement: Accelerate the volume of work for less cost. - Quality Enhancement: Elevate the standard of output and creativity. - Judgement: Know when not to use AI. Balancing these aspects feels crucial — because it’s all too easy to let AI creep in as a tool to avoid thinking altogether, stifling creativity and critical judgement. The equivalent of doomscrolling in the AI age. Really keen to hear other perspectives on this. How are you thinking about it to stay ahead? 👇 ***Post written by a human, image by Sora**

“Are we living for technology or through it ?” I just finished this book “We Are Products: How AI Invades Our Life by Biju P.R” and it stirred up some uncomfortable truths. AI, big data, attention economies—they’re not just tech buzzwords. They’re changing how we think, behave, and value ourselves. Dr. Biju argues that in many ways, we’ve become the product. Our preferences, attention, even our vulnerabilities are being harvested for convenience, profit, and algorithmic efficiency. Here are a few takeaways: •Digital Colonialism: New power structures are forming, where data-rich entities control not just tech, but culture and cognition. •Attention Economy: Every scroll, like, share is engineered. The cost? Our mental bandwidth and capacity for genuine reflection. •Computational Values: Human traits are being reduced to metrics—numbers that are easy to track, but hard to humanize. Nice lines - “If we don’t reclaim the human in the loop, what’s left of “self” when every choice, moment, and feeling is mediated by AI? What’s your view—how do we balance the comfort of AI with the need to stay in control of our lives?

AI is everywhere right now — the hype, the breakthroughs, the concerns. But amid all the noise, it’s worth pausing to remember Stephen Hawking’s warning: “Our future is a race between the growing power of our technology and the wisdom with which we use it. Let's make sure that wisdom wins.” As a tech community, we have a responsibility not just to celebrate what AI can do, but to ask: What should it do? The pace of development is breathtaking — but wisdom, not speed, must set the direction. Perhaps the real test of AI isn’t how powerful the models become, but how intentional and thoughtful we are in guiding their impact.