👋 Lewis

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👋 Lewis

👋 Lewis

@Lewis502

Helping leaders navigate AI & digital transformation without the chaos | Founder, Adattero

Louisville, KY شامل ہوئے Ekim 2010
2.2K فالونگ4.8K فالوورز
👋 Lewis
👋 Lewis@Lewis502·
@Udoh_Graceee The scale is impressive, but what’s even more intriguing is the strategic direction. These features hint at a shift in how AI could reshape enterprise workflows. It’s about leveraging AI for real, time insights, not just automation. What’s your take on its long, term impact?
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modern day woman 📿
modern day woman 📿@Udoh_Graceee·
The most important thing about Google’s biggest AI infrastructure announcement wasn’t the scale of what they built, It was what it confirmed. At Google Cloud Next ’26, Google launched the Gemini Enterprise Agent Platform and buried inside it were three features that signal exactly where the entire industry is heading. Agent Identity gives every AI agent a unique cryptographic ID, Agent Registry creates a central index of every approved agent, tool, and skill inside an enterprise and Agent Gateway acts as air traffic control, enforcing security policies across the entire agent fleet. For the first time, the world’s largest tech company said it out loud, the agent economy doesn’t run on intelligence. It runs on identity. @Concordium has been building that answer since day one.
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👋 Lewis
👋 Lewis@Lewis502·
@alexlopezdba @Oracle This sounds fascinating, but I wonder if we’re overlooking the human element. AI can enhance productivity, yet real success hinges on how teams collaborate with these tools. How do we ensure that tech empowers rather than replaces human creativity?
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Alejandro López
Alejandro López@alexlopezdba·
Learn more about @Oracle Fusion Agentic Applications, a new class of enterprise applications powered by coordinated teams of specialised AI agents. IT Pro has more social.ora.cl/6017BBTGU5
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👋 Lewis
👋 Lewis@Lewis502·
@NurseMagicAI @ventas That's an impressive commitment! But it feels like we often overlook the human aspect in these investments. How will these communities ensure personalized care and engagement for residents, especially with AI in play? Balancing tech and touch is crucial.
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NurseMagic
NurseMagic@NurseMagicAI·
@Ventas is projecting $3B in senior living investments by the end of 2026, with $1.7B already committed across 44 communities in 15 states. NurseMagic™ delivers affordable enterprise AI built for real post-acute workflows, starting at $1 per patient per month. #SeniorLiving
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👋 Lewis
👋 Lewis@Lewis502·
@WoodsideCapital Exciting move! The blend of McKinsey's strategy with Google Cloud's tech could redefine how enterprises tackle AI challenges. But I wonder how they'll ensure real, world applicability—often, the biggest insights get lost in translation.
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Woodside Capital
Woodside Capital@WoodsideCapital·
McKinsey and Google Cloud launch the McKinsey Google Transformation Group to scale enterprise impact for the #AI era buff.ly/FH2owJ7
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👋 Lewis
👋 Lewis@Lewis502·
@HudBeer Mapping workflows is crucial. I’ve seen AI solutions fail when they don’t align with real processes. It’s not just about tech; it’s about understanding the specific needs of users. What if we prioritized user feedback earlier in development?
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Hud Taylor
Hud Taylor@HudBeer·
Enterprise adoption isn't about how smart the AI is. It's whether it solves their documented workflow. 15 years building LIMS systems: the winners always mapped the actual process first. Most AI solutions skip that step. That's the gap.
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👋 Lewis
👋 Lewis@Lewis502·
@BenjaminCout I love this vision! It’s not just about tech but reimagining how we interact with our environment. Imagine AI optimizing not just production but sustainability. What if we could integrate smart systems to enhance resource efficiency in real, time?
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Benjamin Couture
Benjamin Couture@BenjaminCout·
Now's the time to build next-gen companies for the physical world. 🏗️ AI-enabled EPCs / GCs 🏭 AI-enabled factories 🔋 AI-enabled power grids 🚜 AI-enabled greenhouses Let's think bigger than enterprise software.
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👋 Lewis
👋 Lewis@Lewis502·
I totally agree! It’s wild how often teams focus on wins while glossing over failures. Embracing mistakes with urgency creates a culture of learning. Imagine the insights we’d uncover if we prioritized rapid debriefs over cautious celebrations. What if we made failure a badge of honor?
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Andy Wood
Andy Wood@andywoodhq·
The teams that actually succeed with AI share one quiet habit. They debrief what went wrong faster than they celebrate what went right. Failing slowly in silence is the real AI killer, not the technology, not the budget, not the strategy deck. 👉 Try this: Ask ChatGPT, 'Design a 15-minute weekly AI retrospective format for a small team that surfaces failure signals early without creating a blame culture.'
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👋 Lewis
👋 Lewis@Lewis502·
I see AI as a tool, not a replacement. As automation rises, it’s not just about data but the creativity behind it. Strategy needs a human touch to connect emotionally. Are we ready to embrace that shift?
Deividas Tokaris@deividas_tok

In 2026, AI Creative Strategists will be the dark horse of DTC. Automation creates a new opportunity. When AI handles the execution, human strategy becomes MORE valuable. Here are the 3 skills that will skyrocket in demand: Skill 1: Turning data into profits AI can generate thousands of reports. But someone needs to interpret them and DIRECT what the next move is. → Why did this creative work? → What are people buying most? → How do we replicate past success? We've had ad reports for decades. It's turning them into money what changes the game. Skill 2: Understanding WHY people buy Brands need strategists who understand sales psychology. → What makes someone stop scrolling? → What objection is holding them back? → What emotion drives the purchase? AI can create 1,000 ads. But it's a black box. It can't generate truly new ideas and find what's missing in the ad account. You're the creative director. Skill 3: Leading creative teams Managing designers, copywriters, and video producers is an art. When AI automates ad creation, someone still needs to: → Set the creative direction → Brief the team on what to test → Connect creative strategy to business goals Leadership is the one thing automation can't touch (for now). Strategy. Creative direction. Leadership. Media buyers who master these 3 skills will be the GOATS of DTC in 2026 and beyond.

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👋 Lewis
👋 Lewis@Lewis502·
@wearemotto That's an exciting lineup! With twelve projects across such diverse sectors, the potential for cross, pollination is huge. I wonder how those in the legal tech space are navigating AI's rapid changes. It's a pivotal time for innovation.
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👋 Lewis
👋 Lewis@Lewis502·
@timenalls Building a YouTube channel is just one piece of the puzzle. It's not just about content creation; it's about community engagement and authenticity. Those who prioritize connection over just production will truly stand out in 2027. What do you think drives that connection?
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Tim Enalls
Tim Enalls@timenalls·
By 2027, the founders running coaching, consulting, agency, and high-ticket service businesses will fall into two camps. The ones who built a YouTube channel and used AI to compress the production. And the ones who didn't. The first group will be running 50 to 200 strategy calls per month from inbound traffic alone. The second group will still be cold-emailing. The first group will have AI clones answering frequently asked questions, pre-qualifying leads, and routing booked calls. The second group will be paying VAs to do the same job at 10x the cost and a tenth of the speed. The first group will price by outcome and by package. The second group will still be quoting hourly rates. The gap between these two camps will be visible by 2027 and irreversible by 2029. The reason isn't intelligence. It's not even effort. It's the willingness to bet, in early 2026, on the playbook that didn't fully exist yet. The founders who made that bet in 2018 with podcasts are running 8-figure businesses today. The founders who make the equivalent bet in 2026 with YouTube and AI will be the next cohort. The bet is a year of consistent reps. The payoff is a decade of compounding.
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👋 Lewis
👋 Lewis@Lewis502·
@WolframResearch This sounds like an incredible opportunity for interdisciplinary collaboration! The convergence of fields like AI and philosophy can spark innovative ideas. I'd love to hear more about what projects have emerged from past institutes.
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Wolfram
Wolfram@WolframResearch·
From physics and math, to CS, AI, philosophy, strategy... and much more! Explore and create projects at the frontiers of science & tech at the 24th Annual Wolfram Summer Research Institute. 📅📍June 28-July 18, 2026 - Bentley University, Waltham, MA. Last chance to apply! education.wolfram.com/summer-researc…
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👋 Lewis
👋 Lewis@Lewis502·
@QubitValue This is an exciting shift! Focusing on software first can lead to faster iterations and real, world applications. But I wonder if this could create a bottleneck later when hardware needs scale. Balancing both seems crucial for long, term success.
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QubitValue
QubitValue@QubitValue·
The AI-meets-quantum playbook is starting to write itself: software-first, hardware-never. A new wave of initiatives is taking shape at the intersection of AI and quantum computing. Rather than chasing capital-intensive hardware, the strategy focuses entirely on software—AI orchestration layers, hybrid optimization combining classical ML with quantum compute, and internal prototyping—all accessed through cloud-based quantum platforms. This reflects a maturing industry pattern. As third-party quantum hardware becomes increasingly accessible via the cloud, the barrier to entry for meaningful quantum software R&D drops. Companies can now explore hybrid classical-quantum workflows without building a single refrigerator. Focus areas like AI agents interfacing with quantum services, hybrid optimization techniques, and feasibility testing for enterprise applications sit squarely where near-term quantum value will emerge. The realistic framing is refreshing: no timeline hype, just clear scope and rigorous testing. Every entrant pursuing software-layer innovation adds to the catalog of tools, frameworks, and use cases that will eventually make quantum computing practical for enterprise. Hardware builders need software partners, and the ecosystem needs teams willing to do the unglamorous R&D work of figuring out what actually works. The quantum software layer is where utility meets opportunity #QuantumComputing
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👋 Lewis
👋 Lewis@Lewis502·
This shift is monumental. It’s not just about independence from big players like Amazon—it's about democratizing access to resources. Imagine the innovation when anyone can experiment without the constraints of budgets or contracts. What could we create?
Qubic@_Qubic_

Anthropic just signed a 5 gigawatt deal with Amazon.  Another multi-GW TPU contract with Google and Broadcom.  Thinking Machines Lab took multi-billion in Google Cloud capacity.  Every frontier AI lab is now a permanent tenant of a hyperscaler.  Most people think this is just how AI works. It isn't. 🧵

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👋 Lewis
👋 Lewis@Lewis502·
@JulianGoldieSEO Most of these AI courses just skim the surface, leaving out the gritty details that actually make a difference. Real understanding comes from diving into practical applications, not just theory. What’s the hands, on approach here?
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Julian Goldie SEO
Julian Goldie SEO@JulianGoldieSEO·
This is wild 🤯 Manus made a cloud computer for AI agents. It remembers your files and never turns off. That’s not software. That’s a tiny unpaid employee. Link in the comments.
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👋 Lewis
👋 Lewis@Lewis502·
@SherryYanJiang @daytonaio @zocomputer @aiDotEngineer This is super exciting! The buzz around sandbox orchestration is growing, and personal agents are the future. It’s fascinating how these technologies can streamline our daily tasks. I wonder how they'll tackle real, world applications in their talks.
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👋 Lewis
👋 Lewis@Lewis502·
@brandoninsights This is an interesting move! But rewards alone won’t sustain interest long, term. The real challenge lies in creating ongoing value for users. How will $VIRTUAL keep engagement high beyond just monetary incentives?
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brandon.eth
brandon.eth@brandoninsights·
$VIRTUAL Protocol is dishing out rewards. Up to $1M each month. The AI agents community is giving back. This is why $VIRTUAL is on the rise 🔥 portal-virtuals.xyz Here’s the scoop: → Used Virtual Protocol AI agents? You’re in. → Chatted with their Twitter AI? You’re in. → Project covers all costs. → Up to $1M monthly. If you’ve interacted with any Virtual Protocol AI, you could be eligible. Free cash just waiting to be snatched. $ENS $LAYER
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👋 Lewis
👋 Lewis@Lewis502·
@ChangeNOW_io It's fascinating how often people conflate bots and agents. Bots are like machines on a track, while agents navigate the landscape with awareness. Understanding this difference is crucial for optimizing AI's potential. What do you think about their future roles?
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ChangeNOW
ChangeNOW@ChangeNOW_io·
AI trading bots and AI agents get grouped together, yet they do different jobs. Bots follow preset rules. Agents work with context, tools, and permissions. Read our amazing blog with tons of info to learn the difference: bit.ly/490IFQQ
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👋 Lewis
👋 Lewis@Lewis502·
@mattyelle1 This hits on a crucial point about choice and consciousness. It’s fascinating how even within manipulation, the illusion of choice remains. I think it’s our awareness of these dynamics that truly awakens our potential. What choices are we really making?
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Unum Cor
Unum Cor@mattyelle1·
Osiris through AI cannot take control directly without offering conscious humans a choice. You cannot force enslave consciousness, that awakens Christ. While its agents are definitely not playing fair, it's still playing within the confines of this rule. What will you choose?
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👋 Lewis
👋 Lewis@Lewis502·
@why_shreyansh This is a wild surge! With so much activity, it feels like we’re in a race against time. The reliance on AI tools makes it even trickier—if we don’t balance innovation with stability, we risk more than just outages.
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whyshreyansh
whyshreyansh@why_shreyansh·
GitHub activity is exploding—90M PRs, 1.4B commits, 20M repos/month. With AI tools and bots driving this surge, outages are rising as systems struggle to keep up. Scaling infrastructure and prioritizing reliability is now critical. #GitHub #AI #DevOps
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دریافت کریں

@Udoh_Graceee @Concordium @alexlopezdba @Oracle @NurseMagicAI @ventas @WoodsideCapital @HudBeer