In this bonus episode of Nutanix CXO Pulse, Nutanix executives go off-script to answer audience questions about Enterprise AI - no prep, no filters. Watch as they randomly draw questions submitted from Season 1 and share candid insights, from AI strategy best practices to what’s next for cloud-native environments.

Nutanix Enterprise Cloud Index www.nutanix.com/enterprise-cloud-index
Nutanix Cloud Interlock: Ask Us Anything event.nutanix.com/cloudinterlock-liveqa/podcast

Unscripted: Nutanix Execs Answer Your Top AI Questions

In 2025, Generative AI (GenAI) is no longer just a buzzword—it's a cornerstone of digital transformation. From automating complex tasks to creating lifelike content, GenAI has revolutionized how businesses operate, create, and scale. But while many companies offer GenAI tools and services, only a leading Generative AI development company can deliver true innovation that drives measurable business value.
Visit: https://www.code-brew.com/generative-ai-development-services/


Innovations Only a Leading GenAI Development Company Can Offer

🎙️ Hey there! This is Shailendra Kumar, also known as Shaily, your host on "AI with Shaily." Today, we’re diving deep into a major shakeup happening at one of the tech giants we all know—Apple 🍏. 

For years, Apple has proudly built its voice assistant Siri’s AI completely in-house, crafting its own Apple Foundation Models. But now, as of early July 2025, things are changing. Apple is reportedly considering teaming up with AI heavyweights Anthropic and OpenAI 🤖 to power Siri. Instead of relying solely on their own tech, Apple might customize powerful language models like Anthropic’s Claude or OpenAI’s ChatGPT and run them on Apple’s cloud infrastructure ☁️. 

Why the shift? Despite Apple’s massive resources, they’ve been falling behind in the rapidly evolving world of generative AI, trailing competitors like Google. Apple had planned a big AI upgrade for Siri in fall 2024, but it’s been delayed multiple times and pushed back to 2026 ⏳. By partnering with third-party AI leaders, Apple hopes to breathe new life into Siri and catch up in the AI race.

But here’s the interesting part—Apple isn’t giving up on its own internal “LLM Siri” project. They’re keeping their in-house AI efforts alive while exploring these external collaborations. This move isn’t about surrender; it’s about staying competitive and innovative in a fast-moving landscape where no one can afford to stand still 🚀.

A sneak peek of this new AI integration already appeared with the iOS 18.2 update, where Apple quietly added ChatGPT to help Siri answer web-based questions 🌐. It’s a teaser of more extensive AI collaboration to come, though not yet the main AI engine behind Siri.

What really resonates with me is how this reflects a universal lesson in tech and life: sometimes the smartest strategy is to combine your strengths with others. I remember when I was building an AI tool alone and hit a wall, then reached out to a community of experts—and that collaboration transformed everything overnight ✨.

Here’s a bonus tip for all AI enthusiasts and practitioners: keep your toolkit flexible. Use the best existing resources out there but never lose sight of your unique strengths. This hybrid approach is what drives lasting innovation 🔧💡.

So, what do you think? Will Apple’s move to embrace external AI models turbocharge Siri’s comeback? Or is there value in Apple’s “slow and steady” internal development approach? I’d love to hear your thoughts!

Remember the wise words of Alan Turing: “We can only see a short distance ahead, but we can see plenty there that needs to be done.” 🌟

I’m Shailendra Kumar, your host of "AI with Shaily." If you enjoyed this insight into Apple’s AI pivot, follow me on YouTube, Twitter, LinkedIn, and Medium at ‘AI with Shaily.’ Don’t forget to subscribe for more AI news and drop your thoughts in the comments—I read every single one 📝❤️.

Until next time, keep exploring, stay curious, and keep the AI conversation alive! 🤖✨

Apple’s AI Pivot: Will Siri’s Comeback Come from Inside or Outside?

In 2025, generative AI is no longer just a buzzword—it’s a transformative force reshaping industries, revolutionizing workflows, and redefining creativity. From AI-generated art and music to smart assistants that write code, scripts, or even generate entire business strategies, generative AI is proving to be one of the most impactful technologies of our time.
Let’s explore how generative AI is changing the world in 2025—across industries, professions, and everyday life.

Visit: https://www.code-brew.com/generative-ai-development-services/

Generative AI Is Changing the World in 2025

Welcome back to "AI with Shaily," your ultimate source for the latest and most exciting updates in artificial intelligence! 🎙️ I’m Shailendra Kumar, here to take you on a journey through the incredible advancements shaping the AI landscape today.

Picture this: organizing a colossal music festival 🎵🎤 — but instead of stages and crowds, you’re assembling mountains of GPUs, and instead of fans, you have AI models hungry for massive memory and ultra-fast processing power. This is the reality unfolding in 2025, as tech giants like Microsoft and Google are investing heavily in GPUs to fuel the next wave of generative AI.

Microsoft has made a staggering purchase of nearly 485,000 NVIDIA Hopper GPUs this year alone, investing a jaw-dropping $30 billion in servers to power advanced generative AI models like ChatGPT-4. That’s almost half a million GPUs! Meanwhile, Google isn’t far behind, deploying about 169,000 GPUs to drive their ambitious Gemini 2.5 model.

What’s behind this GPU frenzy? Next-generation generative AI models require immense memory bandwidth and huge memory capacity — these data-hungry systems can’t run efficiently on ordinary chips. Enter NVIDIA’s latest technological marvels: the Blackwell Ultra GPUs and the RTX PRO 6000 Blackwell Server Edition. These cutting-edge GPUs, soon to be available on Microsoft Azure and Google Cloud, are not just faster but smarter, enabling AI to plan, reason, and adapt in real-time with remarkable precision and finesse. ⚡🤖

Interestingly, even as the new Blackwell GPUs prepare to take center stage, demand for the current Hopper GPUs remains strong, much like how classic rock maintains its charm alongside new pop hits. Beyond Microsoft and Google, other tech leaders such as Amazon, Meta, Tesla’s xAI, and Apple are also developing custom AI chips to optimize performance and reduce reliance on NVIDIA’s hardware. This diversification highlights the competitive and innovative spirit driving the AI hardware space. 💻🚀

Here’s a personal reflection: this GPU arms race is a vivid reminder that AI progress isn’t just about smarter algorithms — it’s equally about the massive infrastructure that supports them. I remember when I first trained AI models in a modest lab setup, dreaming of scaling up. Today, we’re witnessing multi-billion dollar investments and half a million GPUs powering AI breakthroughs. It’s both humbling and exhilarating to witness this evolution. 🙌✨

A bonus tip for all AI enthusiasts concerned about energy consumption: keep an eye on AI chip specialization. Custom chips designed specifically for AI workloads could be the eco-friendly solution to the high energy demands of these vast GPU farms. True intelligence in AI means not only clever software but also smarter, more efficient hardware. 🌱🔋

Here’s a thought to ponder: as AI models become more powerful and resource-intensive, how can we strike a balance between relentless innovation and sustainability? I’d love to hear your opinions on this important question.

To quote AI pioneer Andrew Ng, “AI is the new electricity.” Just like electricity revolutionized the world, how we generate and manage AI’s power will shape our future. ⚡🌍

Don’t forget to follow me on YouTube, Twitter, LinkedIn, and Medium for more crisp, reliable AI news and insights. Subscribe and share your thoughts in the comments — what’s your take on this GPU gold rush? Are we on the path to a smarter, brighter AI future, or should we pause and rethink our approach?

Until next time, keep your curiosity charged and your questions flowing — this is Shailendra Kumar signing off from AI with Shaily. 🔥🤖✨

GPU Gold Rush 2025: Inside the Billion-Dollar AI Hardware Arms Race

Welcome to “AI with Shaily,” hosted by Shailendra Kumar, a passionate advocate for the transformative power of AI in software development. 🎙️👨‍💻 In this engaging episode, Shaily explores the exciting future of generative AI and its role in automating code generation by 2026.

He begins by sharing a relatable story of late-night debugging struggles, highlighting how AI tools like GitHub Copilot and AWS CodeWhisperer are already easing developers' workloads by automating routine coding tasks, testing, and refactoring. 🤖💻 But the real game-changer, Shaily explains, is that within a few years, these AI tools will evolve from mere assistants into strategic partners. They will take over the repetitive grunt work, allowing developers to concentrate on creative and complex aspects of software building. 🚀✨

Shaily dives into the democratization of software development, noting how integrating generative AI with low-code and no-code platforms empowers even those without deep programming skills to create powerful applications quickly. 🛠️📱 This shift is fueled by advancements in multimodal AI models and neural networks that enable AI to understand context almost like humans, learning and adapting in real-time for seamless collaboration. 🧠🔄

Adding a futuristic twist, Shaily highlights the potential impact of quantum computing in accelerating AI training, making real-time adaptive coding assistants a reality. ⚛️💡 He also touches on synthetic data generation, which fills data gaps to enhance AI’s coding capabilities further. Alongside these innovations, ethical considerations such as bias detection and transparency are emphasized to ensure AI-generated code remains fair and responsible. ⚖️🔍

Shaily shares impressive statistics, noting that over 90% of U.S. developers already use AI coding tools, experiencing faster development cycles and improved code quality. 📈🔥 By 2026, he predicts generative AI will automate the entire coding process — from writing and debugging to explaining code — shifting the software development landscape toward innovation and away from mundane tasks. 🛠️➡️🌟

For listeners eager to stay ahead, Shaily advises starting to experiment with AI coding tools now to become proficient and ready for the full AI revolution in software development. 🏃‍♂️💨

He closes with an inspiring quote from Alan Turing, reminding us that while the future is uncertain, there is much work to be done. Generative AI is opening new horizons in software development — and Shaily invites everyone to be part of this exciting journey. 🌅🤖

Don’t forget to follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium for more insights from “AI with Shaily.” 📲💬 He encourages listeners to subscribe, share their thoughts, and engage in discussions about the promises and challenges of AI automating code. Your voice matters in shaping the future! 🙌💡

Thanks for tuning in, and until next time, keep innovating smarter with AI! 🚀🤖✨

The Future of Code: How Generative AI Will Automate Software Development by 2026

Welcome to *AI with Shaily*! 🎙️ I’m Shailendra Kumar, your host, bringing you the freshest insights into artificial intelligence. Today, we’re embarking on an extraordinary journey—not just across the globe, but all the way to Mars! 🚀🌌 We’re diving deep into an exciting and trending concept: how Generative AI could revolutionize the design and management of smart cities on the Red Planet by the year 2055.

Picture this futuristic scenario: It’s 2055, and humans have established thriving colonies on Mars. These aren’t just any cities—they’re intelligently designed and autonomously managed by AI systems. This idea might sound like something straight out of science fiction, but it’s rapidly gaining traction on social media and in tech circles. People are buzzing about AI-driven urban planners that simulate and optimize everything from habitat layouts to resource allocation, life-support systems, and energy efficiency in real time. On Mars, where every watt of power and every drop of water is precious, AI’s role is absolutely critical. ⚡🌱

Reflecting on Earth’s smart city technologies—like autonomous shuttles and delivery drones—helps us imagine Mars’ complexity multiplied many times over. On Mars, AI won’t just control self-driving vehicles; it will coordinate robotic assistants and a network of smart sensors monitoring radiation, dust storms, and extreme temperature fluctuations—vital factors for human survival in this hostile environment. Communication networks will be AI-powered too, seamlessly linking satellites and surface systems to maintain safety and connectivity despite Mars’ relentless conditions. 🛰️🤖

Sustainability takes on a whole new meaning on Mars. Generative AI will optimize closed-loop systems for recycling waste, managing water supplies, and growing food locally—because there’s no option to order takeout on the Red Planet! This planetary-scale sustainability effort mirrors Earth’s push toward net-zero carbon cities but with even greater challenges. AI becomes the ultimate gardener, engineer, and manager all in one, ensuring life can flourish far from home. 🌿💧🍅

One particularly viral idea lighting up discussions is the concept of “Woven City”-style autonomous habitats on Mars. Imagine smart domes powered by AI that dynamically adjust oxygen levels, atmospheric pressure, and temperature to keep residents comfortable despite the harsh Martian environment. Add to that virtual reality-enabled urban governance, where citizens can participate in city decisions right from their space suits—talk about next-level civic engagement! 🏙️🛡️🕶️

Here’s a thought-provoking question: If AI can successfully design and manage a city on Mars, what valuable lessons could we apply to building smarter, more sustainable cities here on Earth? 🌍💡

Before we conclude, a bonus tip for urban tech enthusiasts: Watch closely how AI integrates with circular economy principles—recycling, reusing, and optimizing resources. This approach is essential for Mars but is already transforming urban life on Earth, seeding innovations that will shape the future of cities everywhere. ♻️🔄

As Arthur C. Clarke famously said, “Any sufficiently advanced technology is indistinguishable from magic.” ✨ What we’re witnessing with AI and smart cities on Mars is nothing less than magical ambition—a breathtaking blend of technology, sustainability, and exploration.

If you enjoyed these cosmic ideas and want to dive deeper into AI, connect with me, Shailendra Kumar, on YouTube, Twitter, LinkedIn, and Medium. Don’t forget to subscribe and share your thoughts—how do you see AI shaping life beyond Earth or improving our cities here at home? Your insights light up our community! 💬🌟

Signing off from Earth today, but dreaming of tomorrow’s Martian smart cities—stay curious, and keep pondering the incredible power of AI! 🚀🤖🌌

AI on Mars: Designing Smart Cities on the Red Planet by 2055

The Strategic Takeaway

Organisations are challenged by vast, siloed internal knowledge. Google Agentspace transforms this "data graveyard" into an AI goldmine, providing an intelligent blueprint for actionable knowledge.

This enterprise solution acts as the brain of your operation, leveraging automated Retrieval-Augmented Generation (RAG) to pull precise answers directly from your diverse data stores (like Drive, Slack, Salesforce).

It ensures Fort Knox-level security by respecting existing access permissions and integrating seamlessly with IAM and external identity providers.

Crucially, Agentspace moves from "tell me" to "do it," empowering AI assistants to not just provide information but actively complete tasks within your workflow (e.g., creating meetings, recording requests).

Ultimately, Agentspace streamlines operations, accelerates decision-making, and creates a truly intelligent workspace, freeing your teams to focus on higher-value work.

Author: Wes C | Date: 18th July 2025 | Agentspace series

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18th July 2025, What I Learned Today - Accelerate Knowledge Exchange with Agentspace

„Aki kalapácsot fog a kezébe, hirtelen mindent szögnek lát” – mondja Ignácz Péter, a KPMG Data Science managere, aki a Spirit FM „MI és más” című műsorában árulta el, miért nem mindig mesterséges intelligencia a legjobb válasz egy üzleti problémára.

A beszélgetésből kiderül, hogyan építhető be a generatív AI a vállalati folyamatokba értékteremtő módon, mikor érdemes inkább RPA-t választani, és miért kulcskérdés az adatminőség.

MI bevezetés és használat biztonságosan és értékteremtő módon

In today’s high-speed digital economy, businesses no longer have the luxury of waiting. They need intelligent systems, faster decision-making, leaner operations, and personalized customer experiences. That’s where generative AI development services are changing the game—enabling companies to innovate at speed, scale operations efficiently, and cut costs significantly.
Visit: https://www.code-brew.com/generative-ai-development-services/

Scale Faster, Smarter, and Cheaper with Generative AI Development Services

The Nutanix Community Podcast is a weekly podcast. It is an informal and technical look at topics around Nutanix, Cloud and the online IT community. It will serve as a campfire and coffee shop for the extended Nutanix community.

Code Brew Labs creates digital greatness one project at a time, not just by writing code. Join us as we set out on an adventure to realize the actual potential of your concepts.

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.

Building a better future through technology

Kövesd a KPMG Hungary folyamatosan frissülő csatornáját és maradj naprakész legyen szó jelenről vagy jövőről, gazdasági vagy társadalmi témákról. #KPMGVoice
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A KPMG könyvvizsgálati, adóügyi és tanácsadási szolgáltatásokat nyújtó független szakmai szolgáltatók globális szervezete. 144 országban és tartományban működünk, világszerte 236 000 fő dolgozik tagtársaságainknál. Mindegyik KPMG-tagtársaság jogilag különálló gazdálkodó egység, és ilyenként határozza meg magát. A KPMG International Limited („KPMG International”) angol “private English company limited by guarantee” társasági formában működik. A KPMG International és kapcsolt gazdálkodó egységei ügyfelek részére nem nyújtanak szolgáltatásokat.

A magyarországi KPMG-tagtársaságoknál több mint 1400 fő dolgozik – a KPMG Hungária Kft. könyvvizsgálati szolgáltatásokat, a KPMG Tanácsadó Kft. tanácsadási szolgáltatásokat, a KPMG Legal Tóásó Ügyvédi Iroda jogi szolgáltatásokat kínál magyar és multinacionális társaságoknak, kormányzati szerveknek és külföldi befektetőknek, míg a KPMG Global Services Hungary Kft. (KGSH) megfeleléssel kapcsolatos szolgáltatásokat nyújt multinacionális vállalatcsoportoknak több mint 35 országban.

New tracks tagged #GenerativeAI