Picking the best AI model is the wrong race. The orgs winning are building learning loops, managing costs ruthlessly, and keeping humans in the loop. A roundup of 9 pieces that connect the dots
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Picking the best AI model is the wrong race. The orgs winning are building learning loops, managing costs ruthlessly, and keeping humans in the loop. A roundup of 9 pieces that connect the dots
Seat-based pricing and Agentic AI are evolving where every task has a cost signature. The real challenge as always, isn’t just the tech. Field lessons from launching next gen AI services that work and pay their way.
The pressure to adopt AI at speed is producing a great deal of noise but not a huge amount of signal. Many are debating this. From economists resurrecting a 40-year-old productivity paradox; to philosophers challenging Silicon Valley's token-counting obsession; to Microsoft's diagnosis of organisations as the bottleneck; to a quiet case for deliberate slowness.
AI is enabling amazing things — but we shouldn't be starry eyed. Innovation theatre is the performance of innovation without the substance of it. Let's do the hard work of discovering AI's true value.
Choice musings. Never have we had so much and yet so little to show for it. We have a myriad of ways to spend our time and influences to shape our thinking. We often end up stuck or down rabbit holes but that doesn't have to be.
AI is racing ahead while companies are still tying their shoes. Logarithmic, slow, human change vs exponential, accelerating, technological change. The classic tension between the two explains why humans consistently underestimate tech’s impact.
First the gold rush for the perfect AI prompt. Everyone wanting to crack the code — the magic that makes the model sing. Courses, cheat sheets, LinkedIn posts, etc. It mattered but less and less and the big decisions are still made by humans. For now. So get back to basics and focus on how to prompt for human outcomes.
AI and bureaucracy are not ordinary bedfellows but they now collide and company size and culture decides who adapts and who gets left behind.
You either believe these are urgent themes as humans are seemingly being squeezed out of work and we need to plan for relevance, innovation and change. Or it is all overblown and there is nothing to worry about - business can continue as usual. Some thoughts for the former.
AI’s rapid leaps are shaking markets, jobs and the wider tech world. With each new breakthrough, we’re pushed to choose our response — fear or innovation.
Technology adoption metrics get bandied about and poured over as if they were the ultimate truth. They are just a proxy for value. They are a precursor to it, no doubt, i.e. you need to have adoption before you can get to value outcomes. But they are not the end goal.
Using the quiet time over the holidays I went back a little further than the last year to reflect on a lifetime of learning and summed it up for a talk I'm giving. What fun 🎉🎈
Some cautionary tales that remind me to remain grounded on what we are all here to do in business. For all the worry of AI taking over, at the heart of enterprise is still humans working together towards common goals that move us forward through innovation, with technology as an enabler.
I’ve been pondering this recently based on the work I do making customers successful with their use of AI. Product knowledge has always been a key part of this type of work, i.e learning and keeping up to date with changing technology. Not so much anymore when AI keeps up better.
Juggling a new innovation-focused AI role and thoughts on how to keep my writing meaningful amid the AI slop deluge has led to a long break. Here are some initial views on what will make a difference plus some well curated articles.
Dive into this collection of articles covering the twists and turns of AI-driven transformation. From kaizen-fueled strategies at Microsoft to debunked innovation fairy tales, you’ll discover why some AI projects soar while others, well, don’t make it past the launchpad. Also, why creativity and imagination are still our last best bet at retaining sanity, being productive and beating AI.
Being a long time fan and #Canva user, I approached #MicrosoftDesigner with some suspicion. But I was pleasantly surprised. Long way still to go but some good starting features, not least DALL-E and some other cool baked in intelligence #review