intelligentHQ.com

#digitaltransformation #blockchain #ai #socialbusiness #growth #education #innovation #sharingeconomy #research network by @ztudium

[intelligentHQ.com @intelligentHQ]

Top #AI #Books of all Time & Reflections
By @dinisguarda
https://t.co/6Nr7cWsBJs via @intelligenthq
#ML #singularity #AGI #ArtificialIntelligence

CC @WorldAIShow @thinkers360 @andy_fitze @DeepLearn007 @ipfconline1 @ArtificIntelNFT @ai_memes @AI_Advice @MyousufJatoi1 @AkwyZ

[Ben Goertzel @bengoertzel]

Bill Gates on AGI and its future is a bit conservative but basically rational and clear-thinking.... He also notes that one potential solution to AGI-ethics issues is a different/better foundational AI architecture which as he says "a few are working on" [raising my hand here ;p ...] ... https://t.co/rTE89eYMgX

However he thinks the tumultuous transition between here and ASI will likely take 20 yrs or so ... I suspect it will go a bunch faster...

The headline is rubbish ofc, he does not think AI will make us live like the Amish ... he thinks that a certain percent of the human population will have an Amish-like attitude of "we don't have to use these new technologies" toward AGI/ASI.... I personally think this will be a rapidly decreasing percentage as the incredible value of AGI/ASI to improve life becomes clear... but it's a valid point for sure... this is what Hugo DeGaris called the Terrans as opposed to the Cosmists...

[Ronald van Loon @Ronald_vanLoon]

7 billion data points from one F1 car in a race weekend. Volume alone does not win races.

Mercedes-AMG PETRONAS F1 CIO Michael Taylor and @HPE Chief technologist Max Walker explain why engineers need trusted data in milliseconds.

#HPEPartner

[Dr Efi Pylarinou @efipm]

The line between trad enterprise software and crypto rails continues to blur. Ramp’s push for a national trust charter to offer native crypto custody and automated treasury management is a huge signal for corporate finance evolution. #Fintech #Tokenization
​https://t.co/d3egMHDP2I

[Dr. Khulood Almani | د.خلود المانع @Khulood_Almani]

🌍 𝐓𝐡𝐞 𝐍𝐞𝐱𝐭 𝐆𝐥𝐨𝐛𝐚𝐥 𝐑𝐚𝐜𝐞 𝐖𝐢𝐥𝐥 𝐍𝐨𝐭 𝐁𝐞 𝐖𝐨𝐧 𝐛𝐲 #AI 𝐀𝐥𝐨𝐧𝐞

🌍 السباق العالمي القادم لن يحسمه #الذكاء_الاصطناعي وحده

AI may be the most visible part of the race, but beneath it lies an interconnected architecture of global power.

These technologies are no longer separate industries.
Together, they are becoming one strategic system.

🌐 8 forces shaping the next global era:

1️⃣ #ArtificialIntelligence
The intelligence layer transforming every industry.

2️⃣ #Semiconductors
The foundation of the digital economy.

3️⃣ Compute Infrastructure
The new currency of technological progress.

4️⃣ #Energy
The power behind AI, data centers and advanced industries.

5️⃣ Critical Minerals
The strategic resources behind chips, batteries and defense technologies.

6️⃣ #Space
The next frontier for connectivity, security and economic expansion.

7️⃣ #Robotics
The bridge between digital intelligence and the physical world.

8️⃣ #QuantumComputing
The race to solve problems beyond today’s computational limits.

⚠️ The nations and companies that lead across these strategic foundations will not simply participate in the future.

They will define it.

The next AI gold rush is not about adoption.
It is about ownership.

🎯 The future belongs to those who build it.

#Innovation #DeepTech #FutureTech #GlobalEconomy

@enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @ThEiLe0 @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @NathaliaLeHen @jasuja @ralf_ladner @mary_gambara

[Linda Grasso @LindaGrass0]

Customer context can easily get lost in the handoff. PwC’s "common brain" approach could make it much easier to carry that context from one interaction to the next.

@TMobileBusiness Partner

[Tony Moroney #DigitalTransformation #ai @BetaMoroney]

How Small Businesses Can Show Up In ChatGPT And AI Shopping Results https://t.co/BEZqdJct8Y #digitaltransformation #artificialintelligence

[Alvin Foo @alvinfoo]

China isn’t just building humanoid robots. It’s scaling production faster than the rest of the world.

The H1 2026 shipment estimates tell a striking story: Agibot at ~8,600 units, Unitree at ~5,000, while US-based Figure AI shipped only a few dozen.

The real race isn’t just about who builds the smartest robot. It’s about who can manufacture, deploy, and improve them at scale.

AI may create the intelligence, but manufacturing scale could determine who wins the robotics revolution.

The next industrial powerhouses may not look like traditional factories. They may look like fleets of humanoid robots.

[Antonio Grasso @antgrasso]

The new ADIPEC Global Energy Report 2026 caught my attention: 22% of oil and gas insiders name AI-driven efficiency as a top commercial opportunity today, versus 27% in ten years.

A signal of changing business priorities.

Join > https://t.co/w9vnyE9fl5

@ADIPECOfficial Partner.

Another finding adds context: 81% of energy insiders expect AI-driven electricity demand to exceed current forecasts.

This creates a closer relationship between the energy and technology industries.

Energy companies need to understand how computing demand will evolve, and technology companies must understand the capacity and operating requirements of energy systems.

I find this mutual dependency particularly interesting because investment decisions in one industry will increasingly affect the other.

ADIPEC 2026, taking place from 2-5 November in Abu Dhabi, offers an opportunity to examine how these developments will shape the energy business.

Energy. Intelligence. Impact.

#ADIPEC2026 #ADIPEC #Energy #AI

[Ray Dalio @RayDalio]

Proximate causes are typically the actions (or lack of actions) that lead to problems, so they are described with verbs (I missed the train because I didn't check the train schedule).

Root causes run much deeper and they are typically described with adjectives (I didn't check the train schedule because I am forgetful).

You can only truly solve your problems by removing their root causes, and to do that, you must distinguish the symptoms from the disease. #principleoftheday

[Dinis Guarda @dinisguarda]

One of the most delightful moments at #NVIDIAGTC Berlin 2026!

Jensen Huang interacting with the Mirokaï robot from French robotics startup @EnchantedTools and many others!

These friendly robots combine AI, autonomous navigation and human interaction, with potential applications in hospitals, hospitality and everyday assistance.

A fascinating glimpse into NVIDIA's vision for Physical AI, where intelligent machines move beyond screens and become part of our physical world.

And these little robots certainly have personality!

#NVIDIA #GTCBerlin #PhysicalAI #Robotics

CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache
@Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked
@Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise
@MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

[Dinis Guarda @dinisguarda]

A robot concert at #NVIDIAGTC Berlin 2026!

Jensen Huang showing a fun AI-generated video of robots singing together during his keynote.

Quite a moment! Beyond the humour, it gives us a glimpse of how AI and robotics are coming together in increasingly creative ways.

#NVIDIA #PhysicalAI #Robotics

CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked
@Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise
@MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

[Dinis Guarda @dinisguarda]

What happens when AI infrastructure scales from thousands of GPUs to nearly a million?

@googlecloud and @nvidia are preparing for the next phase of AI factories.

Google Cloud’s Vera Rubin-powered A5X infrastructure is scheduled for general availability in November 2026, with plans to expand into Europe and potentially scale to 960,000 Rubin GPUs across multiple sites.

This is not simply about building larger clusters.

The infrastructure is being designed for the workloads now shaping the AI economy: agentic AI, reinforcement learning, enterprise automation and increasingly complex inference. Early use cases already include David Silver’s Ineffable Intelligence and WPP’s agentic creative workflows.

The bigger question is how we translate this extraordinary computing scale into measurable economic value, while addressing power, cooling, security, governance and Europe’s continuing challenge around technological sovereignty.

The AI race is increasingly becoming an AI infrastructure race.

https://t.co/AAtaHY4ox5

#NVIDIA #GoogleCloud #VeraRubin #AI #ArtificialIntelligence #AIInfrastructure #AgenticAI #AIFactory #GTCBerlin

CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked
@Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise
@MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

[Dinis Guarda @dinisguarda]

The creator economy is becoming a major pillar of the global digital economy. Goldman Sachs projected it could grow from $250 billion in 2023 to nearly $480 billion by 2027. The question is who will capture that value: creators, platforms or the companies building the AI infrastructure behind them?

[Dinis Guarda @dinisguarda]

𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐓𝐡𝐞 𝐀𝐈 𝐌𝐞𝐝𝐢𝐚 𝐂𝐫𝐞𝐚𝐭𝐨𝐫 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦?

“When social becomes an enterprise spend, it crosses the threshold of 𝟏𝟎 𝐦𝐢𝐥𝐥𝐢𝐨𝐧 𝐚𝐧𝐝 𝐚𝐛𝐨𝐯𝐞. Everything that that system entails breaks and then these big brands get stuck because they don't have the right partners and technology in place. Creators are the mechanism that moves commerce.” - Joe Gagliese @joeyviral

Joe Gagliese is the co-founder and Co-CEO of @viralnationinc , a Toronto-founded company operating across social-first marketing, creator representation, technology, data and social media intelligence.

“Viral Nation is a solutions an AI company that has delivery. The company is helping the biggest brands in the world by bringing social and its entire operating process to an enterprise grade level so that it can be run like a channel like media like communications.”

With representation in eight countries and the world’s largest managed influencer network, Viral Nation fuels growth for the world's leading brands including but not limited to: @Disney , @AnheuserBusch, Baidu, @thecampbellsco , @CocaColaCo, @Intuit , @Logitech , @Match , @Meta Platforms, @Microsoft , Tencent, @Uber , and Vivid Seats.

“The most successful creators are the ones who look at their data and their insights. They're the ones who make an effort to grow their business and to be different. They take their business seriously. We let data and AI lead what the decisions are being made based off a data framework.”

During my discussion, we spoke about how AI is transforming the economics of social media and digital content, the rise of Social AI and enterprise creator intelligence.

“𝐂𝐫𝐞𝐚𝐭𝐨𝐫𝐬 𝐚𝐫𝐞 𝐠𝐚𝐭𝐞𝐤𝐞𝐞𝐩𝐢𝐧𝐠 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐧𝐨𝐰. AI is going to be fundamentally running a lot of the things even if you don't see it right this might be truly one of the only remaining worlds left where it is human to human interaction. 𝐈'𝐦 𝐡𝐨𝐩𝐢𝐧𝐠 𝐭𝐡𝐚𝐭 𝐜𝐫𝐞𝐚𝐭𝐨𝐫𝐬 𝐚𝐬 𝐚 𝐜𝐨𝐚𝐥𝐢𝐭𝐢𝐨𝐧 𝐚𝐫𝐞 𝐠𝐨𝐢𝐧𝐠 𝐭𝐨 𝐫𝐞𝐦𝐚𝐢𝐧 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝟏𝟎 𝐲𝐞𝐚𝐫𝐬, 𝟐𝟎 𝐲𝐞𝐚𝐫𝐬 𝐚𝐬 𝐭𝐡𝐞 𝐩𝐞𝐨𝐩𝐥𝐞'𝐬 𝐦𝐞𝐝𝐢𝐚.”

Full interview live in my Youtube channel: https://t.co/vARRfsUmH1

#aicontentcreation #humanvsai #syntheticinfluencers #influencereconomy #socialmediamarketing #creatormarketing #digitalcreators

cc @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked
@Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise
@MHcommunicate @Corix_JC @c4trends

[Dinis Guarda @dinisguarda]

One of Jensen's strongest messages: Europe must move from consuming AI to producing it. With NVIDIA working with over 12,000 partners across Europe, the foundations are growing. But how do we translate this into lasting economic value?

[Dinis Guarda @dinisguarda]

A great way to close #NVIDIAGTC Berlin 2026.

This morning, I attended a Q&A session with NVIDIA founder and CEO Jensen Huang.

Following yesterday's keynote, it was a valuable opportunity to hear more from Jensen as NVIDIA continues to advance AI infrastructure, agentic AI, physical AI and Europe's role in the global AI economy.

Three remarkable days of innovation, conversations and new perspectives on where artificial intelligence is heading.

Thank you to Jensen Huang and the @nvidia team for bringing together such an important technology ecosystem in Berlin.

The next challenge is turning all this innovation into real economic and industrial value.

#NVIDIA #GTCBerlin #JensenHuang #AI #PhysicalAI

CC @NVIDIAAI @NVIDIARobotics @NVIDIAGTC @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked
@Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise
@MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

[Dinis Guarda @dinisguarda]

NVIDIA is no longer just building GPUs. It is building the infrastructure for an AI-driven economy.

At #GTCBerlin 2026, Jensen Huang outlined a major shift towards AI factories, autonomous agents and the systems needed to put intelligence to work.

From DSX POD reducing deployment times to OpenShell securing AI agents and new technologies connecting enterprise data with AI, the focus is moving beyond computing power towards real business value.

The bigger question: How quickly can enterprises turn these technologies into measurable productivity and economic growth?

https://t.co/WKdKg3le2F

#NVIDIA #JensenHuang #AIFactory #AgenticAI

[Dinis Guarda @dinisguarda]

The future of Artificial Intelligence is moving beyond screens and into the physical world.

@nvidia introduced Isaac OS and Isaac Lab 3.0, marking another important step towards the development of Physical AI, intelligent robotics and autonomous industrial systems.

The new technologies connect AI models, robotics simulation, digital twins and real-world deployment, enabling machines to learn, adapt and operate in increasingly complex environments.

Some key developments:

- Isaac OS: An open-source runtime connecting AI models, sensors and robotic hardware.
- Isaac Lab 3.0: Advanced multi-GPU training and physics-based simulation.
- Human 1M Dataset: Training resources to help robots understand human movement and manipulation.
- Industrial applications: ABB Robotics, KUKA and other European industrial leaders are integrating NVIDIA technologies into manufacturing workflows.

Toyota Material Handling Europe has already reported up to 50% faster deployment using simulation-based development.

This is about much more than robotics.

We are witnessing the convergence of AI infrastructure, digital twins, autonomous machines and industrial intelligence.

For Europe, with its strong manufacturing and engineering foundations, Physical AI represents a major opportunity to reshape industrial competitiveness.

Can Europe become a global leader in Physical AI and intelligent manufacturing?

https://t.co/IhWDJuCPDv

#NVIDIA #PhysicalAI #Robotics #DigitalTwins #IndustrialAI #GTCBerlin

CC @NVIDIARobotics @NVIDIAAI @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache
@Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked
@Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise
@MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

[Dinis Guarda @dinisguarda]

Meet @MicroDuckNVDA , one of the most fascinating demonstrations of Physical AI at #NVIDIAGTC Berlin 2026.

Had the opportunity to see and hold this small but remarkable robot, developed by @pollenrobotics in collaboration with @huggingface .

@nvidia demonstrated how Microduck learns to see, walk and navigate its environment using AI, digital twins and physics-based simulation.

Using NVIDIA Isaac Sim, Isaac Lab and RTX Spark, robots can be trained in virtual environments before transferring their learned capabilities into the physical world.

This is much more than a small robot.

It represents the convergence of agentic AI, robotics, accelerated computing and digital twins, bringing us closer to a future where intelligent machines can learn, adapt and operate alongside humans.

The next industrial revolution is moving from software intelligence to Physical AI.

How quickly will we see these technologies transform manufacturing, logistics and everyday life?

#NVIDIA #GTCBerlin #PhysicalAI #Robotics #ArtificialIntelligence #DigitalTwins

CC @YuHelenYu @efipm @enilev @JagersbergKnut @TysonLester @CurieuxExplorer @GlenGilmore @FrRonconii @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked
@Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @bamitav @jornalistavitor @jblefevre60 @FmFrancoise
@MHcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @ralf_ladner @mary_gambara

[Ray Dalio @RayDalio]

It is a common mistake to move in a nanosecond from identifying a tough problem to proposing a solution for it.

Strategic thinking requires both diagnosis and design. A good diagnosis typically takes between fifteen minutes and an hour, depending on how well it's done and how complex the issue is.

It involves speaking with the relevant people and looking at the evidence together to determine the root causes. #principleoftheday