Mike Flache

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Mike Flache

Mike Flache

@mikeflache

Chairman @DG_Collective

Katılım Ağustos 2010
1.9K Takip Edilen21.2K Takipçiler
Mike Flache retweetledi
Mike Flache
Mike Flache@mikeflache·
One of the biggest shifts in AI is becoming harder to ignore. The advantage lies in moving away from exclusive access to intelligence and toward the ability to improve it continuously. That's a very different competitive dynamic from the one we've seen over the past few years. The organizations that learn fastest—not necessarily the ones with the biggest models—will have the edge. What's your take on this development? @pchamard @Khulood_Almani @antgrasso @GlenGilmore @Shi4Tech @chidambara09 @CurieuxExplorer @theomitsa @Nicochan33 @nafisalam @smaksked @Corix_JC @amalmerzouk @quepasachico @IngridVasiliu @EstelaMandela @sonu_monika @RLDI_Lamy @SpirosMargaris @IanLJones98 @Timothy_Hughes @avrohomg @bimedotcom @HaroldSinnott @mvollmer1 @DG_Collective @sijlalhussain wired.com/story/frontier…
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Mike Flache
Mike Flache@mikeflache·
Sovereignty has two dimensions: where technology resides and where critical decisions can still be made. An organization may own its data, meet every compliance requirement, and still be strategically dependent if it no longer controls its capabilities, options, or direction. That’s why digital sovereignty is ultimately a leadership question, not only a technology or regulatory one.
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Mike Flache retweetledi
Digital Growth Collective
Digital Growth Collective@DG_Collective·
Digital sovereignty has become one of the most circulated terms in policy, boardrooms, and industry events. Yet its meaning is often flattened into a discussion about compliance, data localization, or cloud choices. The reality is far more consequential. #Technopolitics #BoardOfDirectors #Leadership #AI @RLDI_Lamy @smaksked @Khulood_Almani @thomas_dettling @Corix_JC @chidambara09 @Nicochan33 @CurieuxExplorer @amalmerzouk @Timothy_Hughes @sonu_monika @mvollmer1 @HaroldSinnott @theomitsa @GlenGilmore @Shi4Tech @pchamard @antgrasso @SpirosMargaris @EstelaMandela @bimedotcom @IngridVasiliu @nafisalam @mikeflache insights.digitalgrowthcollective.com/digital-sovere…
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Mike Flache
Mike Flache@mikeflache·
@smaksked That's a solid perspective, dear Eva @smaksked. Thanks. Technology becomes far more valuable when it amplifies the expertise that already exists inside an organization. The challenge is making that knowledge more accessible, scalable, and actionable.
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Smaksked Skåne AB 🌐
@mikeflache Every organization is powered by the expert knowledge of its people, gained and expressed through their work... great read dear Mike. Thank you for sharing and inclusion😊👋
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Mike Flache
Mike Flache@mikeflache·
For a while, the race was about building the most capable model. I'm not convinced that's where lasting differentiation will come from. The opportunity lies in AI that adapts to how people and organizations think, not the other way around. Intelligence becomes far more valuable when it reflects context and expertise instead of averaging them away. That's a much harder problem to solve than adding more parameters. What's your take on this development? @pchamard @Khulood_Almani @antgrasso @GlenGilmore @Shi4Tech @chidambara09 @CurieuxExplorer @theomitsa @Nicochan33 @nafisalam @smaksked @Corix_JC @amalmerzouk @quepasachico @IngridVasiliu @EstelaMandela @sonu_monika @RLDI_Lamy @SpirosMargaris @IanLJones98 @Timothy_Hughes @avrohomg @bimedotcom @HaroldSinnott @mvollmer1 @DG_Collective @sijlalhussain fastcompany.com/91575110/think…
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Mike Flache retweetledi
Richard Turrin
Richard Turrin@richardturrin·
Banks spent more on technology than almost any other industry. McKinsey ranked them 17th out of 19 in productivity growth. That's nearly last place. The money went in. The results didn't come out. The reason: banks spent billions making old systems faster instead of replacing them. You can't win a race by upgrading a horse when everyone else bought a car. Neobanks didn't upgrade anything. They started fresh. That's the difference between 17th place and Nubank's 131 million customers. #fintech #tech #finserv #AI @BetaMoroney @efipm @BrettKing @spirosmargaris @jasuja @enricomolinari @mikeflache buff.ly/DZHoof6
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Mike Flache retweetledi
Mike Flache retweetledi
Mike Flache retweetledi
💙 #TechForGood 💙
Harold Sinnott 📱@HaroldSinnott

Can AI and Energy Scale Together? AI is no longer only a software story. It is becoming an infrastructure story, one shaped by electricity, grids, data centers, cooling, connectivity, capital, and long-term energy planning. That is why the convergence of artificial intelligence, computing infrastructure, and energy systems is becoming one of the defining strategic questions of this decade. Here are five reasons this matters: 1. AI growth is becoming an energy demand story Every AI model, autonomous system, cloud platform, and intelligent application depends on physical infrastructure. As adoption accelerates, so does demand for reliable electricity, high-performance computing, cooling, and resilient power systems. 2. Data centers are becoming critical energy infrastructure The next generation of data centers will not be planned in isolation. Their growth will depend on grid capacity, energy availability, permitting, location, connectivity, and long-term power strategies. 3. AI can also make energy systems smarter AI is not only consuming energy. It is helping optimize it. Across the energy value chain, AI can improve forecasting, predictive maintenance, asset performance, grid management, energy trading, infrastructure planning, and operational decision-making. 4. Energy security will shape the pace of AI adoption The AI economy cannot scale on unreliable infrastructure. Countries and companies with resilient grids, diversified supply, flexible capacity, and strong digital infrastructure will be better positioned to capture the next wave of AI-driven growth. 5. Asia will be central to this convergence Asia is already at the center of rising electricity demand, industrial expansion, data center investment, and digital infrastructure growth. The region’s choices around energy, computing, policy, and investment will influence the future of the global AI economy. This is why Gastech 2026 and AIxEnergy arrive at such an important moment. AI needs energy. Energy increasingly needs AI. The real opportunity is not simply to scale both independently, but to design them as one interconnected system. Learn more about Gastech 2026 and AIxEnergy, and register as a delegate: gastechevent.com/forms/delreg/ #Gastech2026 #AIxEnergy #ArtificialIntelligence #AIforEnergy #EnergyInfrastructure #DataCenters #EnergySecurity #DigitalInfrastructure #PowerGrids #EnergySystems #Bangkok

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Mike Flache
Mike Flache@mikeflache·
@Timothy_Hughes Thanks, @Timothy_Hughes. I agree with the broader point. More parameters alone don't create differentiation. The actual value emerges when AI reflects the context and expertise that make an organization unique. That's far harder to replicate than model scale.
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Tim Hughes 提姆·休斯
Tim Hughes 提姆·休斯@Timothy_Hughes·
@mikeflache Spot on. Shoveling more parameters into models just leads to more generic AI slop that buyers ignore. The real value is in grounding the tech in actual human context and unique corporate DNA.
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Mike Flache
Mike Flache@mikeflache·
That's an interesting distinction, dear @theomitsa. In the long run, the surrounding capabilities may prove more valuable than the model itself. If organizations can adapt and refine intelligence continuously, the mechanism for improvement becomes just as strategic as the underlying model.
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Dr. Theophano Mitsa ☦️🇬🇷🇺🇸
I think Mira's company's biggest contribution is Tinker, not Inkling. Inkling is powerful, but it is just an LLM like many others. Tinker, on the other hand, is an API that allows you to finetune any model (including Inkling) on the company's powerful compute. Again, they are not the only ones that offer finetuning on their compute, but, overall, Tinker and Inkling are a nice package.
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Mike Flache
Mike Flache@mikeflache·
I agree, @DG_Collective. As models become more interchangeable, the differentiator shifts from the technology itself to how well it reflects the context in which decisions are made. Domain expertise is difficult to copy, and that makes it a far more durable source of advantage than model performance alone.
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Digital Growth Collective
Digital Growth Collective@DG_Collective·
@mikeflache As foundation models become more accessible, differentiation will increasingly shift to how effectively organizations embed domain knowledge, governance, and decision context into AI. That is where sustainable competitive advantage is likely to emerge.
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Mike Flache retweetledi
Mike Flache
Mike Flache@mikeflache·
We often measure AI by what it knows, because knowledge can be scaled. The ability to adapt, generalize, and learn from limited experience is far harder to replicate—and far more valuable. That's where the next meaningful breakthroughs are likely to come from. What's your take on this development? @pchamard @Khulood_Almani @antgrasso @GlenGilmore @Shi4Tech @chidambara09 @CurieuxExplorer @theomitsa @Nicochan33 @nafisalam @smaksked @Corix_JC @amalmerzouk @quepasachico @IngridVasiliu @EstelaMandela @sonu_monika @RLDI_Lamy @SpirosMargaris @IanLJones98 @Timothy_Hughes @avrohomg @bimedotcom @HaroldSinnott @mvollmer1 @DG_Collective @sijlalhussain wired.com/story/ai-isnt-…
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Mike Flache
Mike Flache@mikeflache·
@smaksked That's a point we often overlook, dear Eva @smaksked. Intelligence reveals itself less in familiar situations than in how effectively it adapts to unfamiliar ones. That's true for people—and increasingly, it will define the next generation of AI as well.
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Smaksked Skåne AB 🌐
@mikeflache Exactly. True intelligence isn’t knowing everything—it’s knowing what to do when you know nothing. Excellent read dear Mike - thank you for sharing and inclusion😊👋
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Mike Flache
Mike Flache@mikeflache·
@Timothy_Hughes I like the distinction, @Timothy_Hughes. Scale has its place, but intelligence becomes meaningful when it adapts to context rather than applying the same answer everywhere. That principle matters just as much in human relationships as it does in AI.
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Tim Hughes 提姆·休斯
Tim Hughes 提姆·休斯@Timothy_Hughes·
@mikeflache Spot on. Real intelligence isn't about hoarding data to spit out generic AI slop at scale. It's about adapting to the nuance of a real human relationship, which is exactly how we used to win deals in the analog days.
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