Hey everyone! Welcome to AI with Shaily 🎙️—I’m your host, Shailendra Kumar, here to share the latest breakthroughs in artificial intelligence 🤖✨.

Recently, I was helping a friend set up her new smart home assistant. While explaining how language models power these devices, she joked, “When will my robot actually understand me—not just play my playlists?” That got me thinking, and guess what? A major advancement might just answer that question!

Meet 3D-GRAND—a huge, densely annotated 3D text dataset created by researchers at the University of Michigan 🎓. Unveiled this June at the CVPR Conference in Nashville, 3D-GRAND is designed to help AI systems, especially household robots, connect natural language commands with real-world 3D spaces 🏠📍. Think of it as giving robots a GPS for your living room, enabling them to find and interact with objects precisely based on your instructions.

Why is this important? 3D-GRAND includes over 40,000 household scenes and an astonishing 6.2 million grounded 3D-text annotations 🗂️📊. When AI models train on this data, their grounding accuracy jumps to 38%—an improvement of nearly 8% over previous efforts—and their “hallucination” rate drops dramatically from 48% to just 6.67% 🚀. For those unfamiliar, “hallucination” means when AI imagines objects or details that don’t exist—a big problem for robots meant to tidy your home!

Imagine the possibilities: telling your robot, “pick up the book next to the lamp on the nightstand,” isn’t science fiction anymore 📚💡. This dataset helps robots truly understand spatial phrases and complex 3D instructions—something current models trained mostly on 2D images and text struggle with.

The impact? Smarter embodied AI 🤖🏡—robots that not only hear you but genuinely comprehend your home’s environment with 3D awareness. Plus, 3D-GRAND sets a new standard for researchers pushing the limits of language-grounded robotics.

Here’s a bonus for AI developers: integrating 3D-grounded datasets like 3D-GRAND in your multimodal projects could be your secret weapon to reduce hallucinations and boost contextual accuracy in language models 🔧💡. Because a talking vacuum is cool, but a robot that understands your “living room clutter situation” takes smart homes to a whole new level!

So, here’s a question for you to ponder 🤔: As AI gets better at understanding our complex 3D world, how soon do you think household robots will become everyday helpers in your home?

I’ll leave you with a quote from the legendary Marvin Minsky: “Will robots inherit the earth? Yes, but they will be our descendants.” The future is bright, and 3D-GRAND is lighting the path forward 🌟.

Stay connected with me on YouTube, Twitter, LinkedIn, and Medium for more AI insights. If you enjoyed this episode or have thoughts on embodied AI, subscribe and drop a comment—I’d love to hear your perspective!

Thanks for tuning in to AI with Shaily. Until next time, keep exploring the incredible world of artificial intelligence! 🚀🤖🌍

3D-GRAND: Teaching Robots to Truly Understand Your Home in 3D

Hey there! 👋 You’re tuned into AI with Shaily, hosted by Shailendra Kumar — your trusted guide to the latest in artificial intelligence and tech innovation. Today, Shaily is diving into an incredible breakthrough in supercomputing that’s shaking up Europe and the world: the unveiling of JUPITER, Europe’s newest and fastest supercomputer! 🚀💻

On September 5, 2025, at the Jülich Supercomputing Centre in Germany, Europe proudly introduced JUPITER — a beast capable of performing over one quintillion calculations per second! To give you an idea, that’s like harnessing the power of 10 million modern desktop computers or a million smartphones all working together. 🌍⚡ This powerhouse now ranks fourth globally, marking a significant leap forward for Europe in the fiercely competitive AI landscape.

But JUPITER isn’t just about raw speed. What truly sets it apart is its versatility. It combines AI training and massive simulations seamlessly, powered by NVIDIA’s cutting-edge Grace Hopper Superchips and Quantum-2 InfiniBand technology. Imagine a Swiss Army knife 🛠️ for researchers tackling some of humanity’s toughest challenges — from climate modeling and renewable energy innovations to quantum computing and advanced materials design. Even digital twins, those virtual replicas that help industries optimize their processes, are part of its impressive toolkit. 🌱🔬⚛️

Here’s the real game-changer: JUPITER is the world’s most energy-efficient supercomputer! It runs entirely on renewable energy, uses advanced cooling techniques, and cleverly recycles energy — topping the Green500 list for sustainability. 🌿💡 This means Europe is not only accelerating AI progress but doing so responsibly, balancing power with planet-friendly practices.

Why is this so important? For Europe, JUPITER symbolizes strategic sovereignty. Its platform architecture keeps data close to home, ensuring security and control over critical research and innovation. Already, 33 research teams across Europe are harnessing JUPITER’s power for projects ranging from climate forecasting to cutting-edge simulations, including collaborations with institutions like the European Centre for Medium-Range Weather Forecasts. 🌐🔒

Shaily reflects on his own AI journey, recalling how early enthusiasm was sometimes limited by infrastructure. Now, with milestones like JUPITER, there’s real hope that innovation will be fueled by both talent and unmatched computing muscle. 💪✨

For all you AI enthusiasts, here’s a pro tip: always consider the computational footprint of your projects. Efficient infrastructure, like JUPITER’s, isn’t just about speed — it’s essential for sustainable AI development. This European marvel teaches us that performance and environmental responsibility can go hand in hand. 🌍🤖

To leave you with a thought: How will access to such powerful and sustainable computing resources shape the future of AI innovation — not just in Europe, but globally? 🤔🌏

As Alan Turing wisely said, “We can only see a short distance ahead, but we can see plenty there that needs to be done.” JUPITER is a giant leap toward that promising future.

Want to learn more about AI breakthroughs? Connect with Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium. Don’t forget to subscribe or follow to stay updated! And hey, share your thoughts on this supercomputer revolution — Shaily loves hearing from you. 💬📲

This is Shailendra Kumar signing off from AI with Shaily — powering your curiosity, one byte at a time. ⚡🔍

JUPITER Unleashed: Europe’s Supercomputer Revolution in AI and Sustainability

Welcome to AI with Shaily, your trusted source for the latest updates in artificial intelligence, hosted by Shailendra Kumar 👨‍💻. In this episode, Shaily dives deep into a major legal drama that’s currently rocking the AI industry ⚖️🤖.

The story centers around Anthropic, a leading AI company that’s found itself in hot water. Imagine creating a groundbreaking AI model, only to be hit with a massive lawsuit claiming you trained your AI using pirated books without permission 📚🚫. As of September 13, 2025, Anthropic agreed to pay a staggering $1.5 billion to settle a U.S. class-action lawsuit. This lawsuit involves over 465,000 copyrighted works, with potential compensation reaching up to $3,000 per book 💰. This settlement could be the largest of its kind in the AI world, highlighting the serious legal and ethical challenges surrounding AI training data.

Why is this case so significant? It sets a critical precedent for how AI companies must handle copyrighted materials when training their models. This is a hot-button issue with far-reaching consequences for AI ethics, copyright law, and the future of AI innovation ⚖️🔥. However, the story is far from over. A judge has expressed concerns about whether the settlement is fair and transparent, putting its approval in question. Despite Anthropic’s massive valuation of $183 billion 💵, these legal hurdles suggest the dispute might continue for some time.

This situation raises an important question for the entire AI industry: How do we strike the right balance between rapid AI development and respecting the rights of content creators? 🤔 This is a complex puzzle that everyone involved in AI must solve, and Anthropic’s case could become a blueprint for future legal and ethical standards.

Drawing from personal experience, Shaily emphasizes that navigating these legal and ethical challenges is about more than just avoiding lawsuits — it’s about building trust and ensuring sustainable AI development 🌱🤝. When working on early AI projects, understanding the origin and ownership of training data was crucial, a lesson that this case strongly reinforces.

For those involved in AI or digital content creation, here’s a valuable tip: always prioritize obtaining clear permissions and maintaining transparency about your data sources ✅📄. This isn’t just good practice; it’s your best defense against expensive legal battles that could hinder innovation.

To close, Shaily shares an inspiring quote from the legendary Gary Kasparov: “The future lies in the hands of those who understand how to pair human creativity with artificial intelligence” 🎨🤖. For that future to be bright and fair, legal frameworks like the Anthropic case must be just and clear.

You can follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium for more insightful AI content. If you enjoyed this episode, don’t forget to subscribe and share your thoughts—how do you think AI should handle copyrighted content? This is Shaily signing off, reminding you to stay curious and keep coding! 🚀💡👨‍💻

Anthropic’s $1.5 Billion AI Copyright Lawsuit: The Future of AI Ethics and Innovation

Welcome back to *AI with Shaily*! 🎙️ Hosted by Shailendra Kumar, this episode dives into the exciting and rapidly changing landscape of artificial intelligence. Shaily, a passionate AI enthusiast and expert, takes us through a fascinating discussion about how the journey to Super AI might not be a slow, gradual climb but rather a sudden, explosive leap in capabilities. 🚀

He starts by contrasting the old view of AI progress—like climbing a hill step by step—with the new reality that feels more like a rocket countdown, ready to launch at any moment. What’s driving this sudden acceleration? Shaily breaks it down into several key factors:

1. **Agentic AI Systems** 🤖✨: These are intelligent digital collaborators that don’t just respond passively but actively plan and execute complex tasks independently. Imagine AI assistants that take initiative without needing constant commands, transforming AI from mere tools into proactive partners.

2. **Hardware-Software Synergy** 💻⚡: Microsoft’s new MAI models showcase a powerful blend of innovative architectures called “mixture-of-experts” and cutting-edge chips that boost inference speed by ten times and reduce training costs by the same factor. This leap in computational power is like upgrading from a bicycle to a jet engine, enabling sudden massive performance jumps instead of slow, incremental gains.

3. **Diversity and Scale in Data** 🌍📚: The open-source community’s creation of Apertus LLM, a colossal multilingual model trained on 15 trillion tokens across over a thousand languages, is a game changer. This vast linguistic and cultural diversity allows AI to generalize knowledge and understand context much like humans do, moving closer to generalized intelligence.

4. **Multimodal Embodied AI** 🤖👁️✋: Robots like TactileAloha combine vision and touch, integrating multiple senses so AI can interact with the physical world more naturally. This sensory fusion is paving the way for embodied AI with real-world agency and adaptability, pushing physical intelligence into new frontiers.

5. **Massive Investment** 💰🚀: Over $100 billion poured into AI startups and research worldwide creates a powerful feedback loop, accelerating innovation at an unprecedented pace. This financial surge fuels breakthroughs that sometimes come unexpectedly, further propelling AI’s rapid advancement.

Shaily emphasizes that these factors together suggest the path to Super AI won’t be a predictable, steady climb but rather a "tsunami" of rapid progress where new capabilities emerge almost overnight. This thrilling and somewhat daunting future could transform how we work, create, and live in profound ways.

As a bonus tip, Shaily advises listeners to watch for the intersection of hardware innovations, new algorithms, and embodied AI systems—this is where the most magical and non-linear leaps in AI will likely happen. Following open-source trends is also crucial since they often signal the next radical advancements.

He closes with a thoughtful quote from Alan Turing: *“We can only see a short distance ahead, but we can see plenty there that needs to be done.”* This reminds us that while the future is uncertain, the journey toward Super AI is wide open and full of potential. 🌟

If you enjoyed this insightful episode, Shaily encourages you to subscribe on YouTube, Twitter, LinkedIn, and Medium for weekly AI insights. He invites you to share your thoughts on how you envision this non-linear AI future unfolding. Until next time, keep dreaming big and thinking sharp! 💡🤓

AI’s Rocket Launch: The Sudden Leap to Super Intelligence

Hey there! 👋 I'm Shailendra Kumar, but you can call me Shaily. Welcome to AI with Shaily, your trusted spot for the freshest and most insightful stories shaping the world of artificial intelligence. 🤖✨

Today, I’m diving into a huge moment that’s stirring up debates everywhere—from tech boardrooms to social media feeds: the September 2025 federal court ruling on Google and antitrust. 🏛️⚖️

Here’s the lowdown: The court decided not to break up Google, even though the Justice Department pushed hard for it. Instead, they took a more precise approach, aiming to curb Google’s monopoly on search distribution without dismantling major parts like the Chrome browser or Android platform. This might surprise some folks, but the court made Google stop exclusive agreements that made its search engine the default on many devices. Essentially, Google now has to share parts of its search index data—ads excluded—with qualified competitors. That’s a major shakeup in the AI-powered search world! 🔍💥

Why is this so important? Because AI isn’t just a side note here. The ruling acknowledges that AI—like Google’s own Gemini chatbot—is transforming how we find information and threatening the traditional search advertising model. Imagine AI as the new queen on a chessboard, completely changing the game’s strategy and power plays. ♟️👑

I remember when AI was just a cool idea—machines helping us find data faster and smarter. Now, AI is rewriting the entire playbook. This ruling shows how the law and innovation sometimes struggle to keep pace with each other. Competition policies are scrambling to catch up with AI’s lightning-fast growth. This raises a big question: How do we keep innovation alive and kicking while preventing any single player from dominating the market? 🤔⚡

Here’s a bonus nugget for startups and innovators tuning in: Data sharing, when done right, can be a superpower! 💪 It opens doors for new players to compete and innovate against the giants. Keep a close watch on these data-sharing mandates—they might just be the equalizer you need to level the playing field. ⚖️🚀

Google will still pay device makers to preload its search engine and AI products, but exclusivity deals? Those are off the table now. This hits their strategy but isn’t a knockout punch. Google has raised concerns about privacy and service impacts but sees the ruling as a mixed bag—avoiding the chaos of breaking up Chrome or Android is definitely a win for them. 📱🔒

Zooming out, this ruling is a wake-up call for regulators worldwide. AI isn’t some far-off future anymore—it’s here, reshaping markets and antitrust laws in ways that policymakers are still figuring out. 🌍⚙️

I’ll leave you with this thought: “Innovation thrives not in isolation, but in the competition that challenges us to be better.” 💡🔥

If you found this update valuable, join me—Shailendra Kumar—on YouTube, Twitter, LinkedIn, and Medium, where I unpack these topics even further. Don’t forget to subscribe to AI with Shaily for your regular dose of AI news that keeps you ahead of the curve. And hey, I want to hear from you! What’s your take on AI’s role in monopolies? Drop your thoughts in the comments. 💬👇

Until next time, keep questioning, keep innovating, and keep listening. This is Shaily, signing off from AI with Shaily. 🚀🎧

Google Antitrust Ruling 2025: How AI is Reshaping the Search Monopoly

Welcome to *AI with Shaily*! 🎙️ Hosted by Shailendra Kumar, this engaging show dives deep into the latest breakthroughs in artificial intelligence and emerging technologies, blending expert insights with straightforward, relatable commentary. 

In this episode, Shailendra explores the intriguing and often misunderstood concept of noise — not just the everyday kind that disrupts our lives, but the kind that plays a surprising role in cutting-edge fields like quantum computing. 🔊✨

Starting with the industrial and environmental sectors, Shailendra highlights how AI-driven noise control is revolutionizing how we manage sound pollution. Smart IoT devices equipped with adaptive algorithms monitor noise levels in real-time, dynamically reducing unwanted sounds. Imagine a construction site where innovative sound-absorbing materials team up with active noise cancellation technologies — working like noise bouncers and noise whispers in harmony. 🌿🏗️ Moreover, the push for sustainability has led to the development of eco-friendly acoustic foams that not only reduce noise but also minimize carbon footprints. With stricter noise emission regulations, these innovations are gaining momentum, making industries quieter and greener.

Then, the episode takes a fascinating turn into the quantum computing world, where noise has traditionally been the villain. Qubits, the fragile quantum bits, are highly sensitive to noise, which can disrupt computations. But recent research reveals a paradigm shift: certain types of noise can actually be harnessed to enhance quantum computations. 🧬⚛️ Noise-assisted protocols and error mitigation techniques don’t just fight noise—they cleverly use its quirks to keep quantum algorithms stable and reliable. Noisy Intermediate-Scale Quantum (NISQ) devices are designed to operate amid noise, and the latest algorithms transform this challenge into a valuable resource.

Shailendra shares a personal touch, recalling his early struggles with noisy lab equipment that often spoiled experiments, making the idea of noise as a helpful factor in quantum computing a truly exciting shift in perspective. 🎛️🔬

For AI practitioners, Shailendra offers a bonus tip: exploring hybrid noise control methods that combine passive and active strategies can inspire innovative error correction techniques in quantum computing. This crossover between industry practices and quantum research exemplifies how different tech fields can learn from each other.

Wrapping up, Shailendra leaves listeners with a thoughtful quote from Albert Einstein: “In the middle of difficulty lies opportunity,” suggesting it perfectly captures the evolving role of noise in technology. 🌟

Listeners are encouraged to join Shailendra on YouTube, Twitter, LinkedIn, and Medium for daily updates on AI and quantum trends. He invites the community to share their thoughts on how noise might shape the future of quantum technology and AI-powered industries, fostering an engaging conversation. 

Signing off with his signature tagline, Shailendra Kumar reminds everyone that on *AI with Shaily*, they “tame the noise to amplify the signal.” Stay curious and inspired! 🚀🤖

Harnessing Noise: How AI and Quantum Tech Turn Disruption into Opportunity

Welcome to AI with Shaily, hosted by Shailendra Kumar, your go-to source for the latest news and breakthroughs in artificial intelligence 🤖✨. In this episode, Shailendra shares an inspiring story about Armen Kirakosian, who spent years working in call centers, dealing with complicated phone menus, taking handwritten notes, and managing challenging customer interactions under pressure 📞📝. Armen’s journey highlights how AI has dramatically transformed customer service over the past decade.

Armen, now a global senior manager at TTEC, reflects on how AI has “taken the robot out of us” 🤖➡️❤️, meaning AI has removed the robotic, repetitive tasks from agents’ work. Thanks to AI, customer profiles pop up before the agent even says hello, and often the issue is already identified, making the experience smoother and more personal. The days of robotic scripts and long hold times are fading, allowing agents to focus on genuinely helping people.

This transformation isn’t just about convenience; it’s part of a global shift in contact centers where AI streamlines workflows, boosts productivity, and reduces frustration—especially the dreaded “zero out” option in phone menus that everyone hates 🚫0️⃣. However, experts like James Bednar from TTEC caution that not all tasks should be automated. Some situations require a human touch, suggesting a future where AI and humans work side-by-side—a hybrid approach that combines technology with empathy 🤝💡.

Shailendra poses an intriguing question: How would you feel knowing AI might already anticipate your problem before you even explain it? This fusion of technology and empathy is what makes customer service feel less like a chore and more like a meaningful conversation 🗣️💬.

As a bonus tip, Shailendra encourages listeners to identify repetitive tasks in their own work and explore AI tools to automate them, freeing up time for creativity and connection—just like Armen’s team is doing today ⏳✨.

The core message is clear: AI is not here to replace our humanity but to amplify it. Armen’s words, “AI has taken the robot out of us,” perfectly capture this idea.

For those interested in staying updated, Shailendra invites you to follow him on YouTube, Twitter, LinkedIn, and Medium for more AI stories and expert insights. Don’t forget to subscribe to AI with Shaily for your weekly dose of AI news and share your thoughts on how AI is transforming customer service—let’s start a conversation! 💬📲

Signing off with warmth and curiosity, Shailendra Kumar reminds us to embrace AI with an open mind and heart, making artificial intelligence feel a little more human every day 🌍❤️🤖.

AI with Shaily: How Artificial Intelligence is Humanizing Customer Service

🔥 Welcome to the Weekly AI News Roundup with Shaily! 🔍 Hosted by Shailendra Kumar (Shaily), this episode covers the week starting March 23, 2025, packed with the latest artificial intelligence breakthroughs, deep learning advances, and machine learning news shaping tech, business, and healthcare.

We spotlight 17 game-changing research papers landing on September 4th, advancing robust and fair machine learning with better uncertainty quantification and bias-busting neural nets. Discover how these foundational AI innovations 📈 pave the way for reliable autonomous systems and smarter vision applications, raising ethical standards in AI development.

Google makes headlines with its AI Advertising Suite (unveiled September 10th), rolling out AI Max, Asset Studio, and agentic AI advisors—ushering in transparent, autonomous marketing. Meanwhile, HappyRobot secures $44M for AI-powered logistics platforms, boosting operational efficiency for global giants like DHL and Ryder. 🚚

Microsoft leaps forward with proprietary models—MAI-Voice-1 and MAI-1—enabling ultra-fast audio generation and public NLP model previews, signaling a big shift in big tech’s AI stack strategies. In healthcare, a mini AI catheter camera detects heart disease in real time, marking a milestone in precision medicine. 💡

Why does it matter? Shaily breaks down the impact for researchers, developers, and business leaders—plus expert tips on tracking fairness benchmarks. Subscribe, like, and follow for your essential deep learning and AI updates every week! 👋

🚀 News with Shaily for Week starting 2025-09-15: Is Agentic AI About to Transform Your Life?

Welcome to "AI with Shaily," your ultimate radio show dedicated to everything artificial intelligence, hosted by Shailendra Kumar, a passionate AI practitioner with firsthand experience in the AI revolution. 🎙️🤖 Shailendra, also known as Shaily, takes listeners on an insightful journey into the rapidly evolving world of AI, breaking down complex topics into engaging conversations.

In this episode, Shaily dives deep into one of the hottest debates lighting up social media: "When will AGI join the workforce?" 🔥💼 AGI, or Artificial General Intelligence, is the concept of AI systems capable of performing any intellectual task a human can do. The chatter online is electric, with opinions split between a near arrival by 2030 or a more distant future around 2060. Tech leaders are dropping hints about AGI’s imminent arrival, while surveys of thousands of AI experts reveal a near-even divide on the timeline. It’s like a lively family debate about when robot helpers will take over jobs—and whether we should be worried or ready to collaborate.

The conversation naturally turns to jobs and employment. The internet is abuzz with a mix of anxiety and excitement: will AGI replace your 9-to-5? From serious risk assessments to funny memes and skits about robots handing out pink slips, people are reacting with both fear and humor. Influencers weigh in with contrasting advice—some urging people to “upskill or die,” while others celebrate AGI as a creator of new opportunities. Shaily even jokes about reporting from a future "Robot Olympics," where bots compete to outsmart humans at work. Interestingly, a new career called “prompt engineering” is emerging, where mastering how to communicate with AI becomes a crucial skill. 🎯🦾

A surprising trend highlighted is the rise of the “AI Optimizer” role. Imagine professionals quitting traditional jobs to become AI whisperers—experts who fine-tune AI models to better serve human needs. It’s like conducting an orchestra to ensure AI doesn’t hit any sour notes. This career path is gaining popularity, especially among young professionals eager to ride the AGI wave rather than be swept away by it. 🎼✨

But it’s not all lighthearted. Social media also hosts serious debates on policy matters such as universal basic income, AI taxation, and retraining programs. Viral infographics and calls for “AGI Preparedness” emphasize that the arrival of AGI is not just a technological milestone but a societal challenge involving ethics, responsibility, and equitable benefits for all. ⚖️🌍

Shaily’s bonus advice for listeners is to start building their own “AGI readiness kit.” This means cultivating curiosity, learning to collaborate with AI instead of competing against it, and mastering the art of effectively communicating with AI tools—skills that will soon be as essential as traditional ones. 🛠️💡

The episode closes with a powerful quote from Alan Turing: “We can only see a short distance ahead, but we can see plenty there that needs to be done.” It’s a reminder that while the future of AGI holds many unknowns, our adaptability and preparedness will shape the unfolding story. 📜🔮

For those eager to explore more, Shaily invites you to connect on YouTube, Twitter, LinkedIn, and Medium under “AI with Shaily.” Engage in the conversation, share your thoughts, and subscribe to stay updated on the latest AI developments. Until next time, Shailendra Kumar signs off with a call to keep curiosity alive and prompts ready—encouraging everyone to stay human and stay ahead in this AI-driven world. 🌟🤝

AGI & The Future of Work: Job Security Insights

Are you ready for an AI breakthrough? Discover how a groundbreaking chip from the University of Florida blends light and electricity to save up to 100x more energy while enhancing AI capabilities! Join me, Shailendra Kumar, as we explore this revolutionary technology and its potential impact on our energy grids and AI models. Don't miss out on this future-forward discussion! 🔍💡🌍💬 Tap into the exploration by following AI with Shaily on YouTube and more. What AI innovations excite you? Let's connect!

Unlocking AI's Future: The Energy Revolution You Need to Know

Is Europe reshaping the AI landscape? In this episode of AI with Shaily, Shailendra Kumar dives into the groundbreaking €1.7 billion funding of French startup Mistral by ASML. Discover how this partnership is revolutionizing chip tech and AI, and why it's a pivotal moment for European tech sovereignty. 💡🚀🤖 Get insights and share your thoughts on Europe's place in the AI race! Don't forget to follow for more AI breakthroughs!

Europe's AI Revolution: Mistral's €1.7B Leap Forward

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

3D-GRAND: Teaching Robots to Truly Understand Your Home in 3D

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