CHIRAG SHUKLA’s Post

Cloud Leaders Bet on #AI 🤖 The Q2 2024 results from AWS, Google Cloud, and Microsoft Azure reveal significant positive trends fueled by AI demand. Here’s what the big 3 have to say about the growth so far and the potential of AI. 🏛️ AWS: AI is a central pillar of AWS's growth strategy. AWS has achieved a multibillion-dollar revenue run rate in AI, emphasizing the importance of AI services in driving cloud sales. The demand for AI services is significant, and AWS's investments in AI infrastructure are fueling its re-acceleration to 19% growth. 🤖 Google Cloud: Google's AI infrastructure and generative AI solutions are major contributors to its growth. The company reported that its AI initiatives have generated billions in revenue and are being used by over 2 million developers. This focus on AI is not just boosting revenue but also enhancing customer engagement and retention. 🧑✈️ Microsoft Azure: Azure's AI customer base has grown by 60% year-over-year, and the Copilot SaaS offering is experiencing rapid adoption. Microsoft's AI-driven solutions are proving to be sticky, with customers increasing their spending and returning for more services. The growth of Azure AI underscores AI's role as a key differentiator for Microsoft. Which hyperscaler's AI services are you leveraging in the coming years? #AWS #GCP #Microsoft

Ready to unlock the power of AI anywhere? 🤖☁️ Google Distributed Cloud is changing the game for businesses looking to create modern, mind-blowing customer experiences. Imagine having the flexibility to deploy AI-powered applications wherever you need them – from the cloud to the edge. With Google Distributed Cloud, it's possible! In our new video series, "AI anywhere," you'll discover how this groundbreaking technology is transforming industries like retail, manufacturing, finance, and healthcare. Key takeaways: Overcoming the challenges of building modern customer experiences Real-world examples of how Google Distributed Cloud is making a difference How to leverage AI, cloud, and edge technologies to drive innovation and growth Don't miss out! Watch the first video now and learn more about Google Distributed Cloud: → https://goo.gle/4aUy5sM https://google.smh.re/4Nqj

👉 #Q: What is the #AI #strategy resemble between AWS, Google and Microsoft? A/ #Google Cloud is focused on a comprehensive enterprise AI platform with custom models B/ #Microsoft is integrating generative AI into its productivity tools and developing its own models C/ #AWS is providing tools and services around third-party AI models to give customers more choice The strategies have some fundamental differences, with Google and Microsoft taking a more vertically integrated approach, while AWS is aiming for an open platform with third-party models to provide generative AI capabilities to enterprise customers. Where is your money at? #aimk #cloud #genai

Perficient is teaming up with Microsoft to talk about advancements in Generative AI and industry trends. During the session, we will showcase Microsoft capabilities that put AI to work to make your daily tasks easier and enable your teams to do more with less. Microsoft has partnered with OpenAI to bring expansive Generative AI capabilities to the Microsoft cloud. With Microsoft’s investments in Azure and the Copilot family, the Microsoft cloud is uniquely positioned to innovate & transform your business by enabling AI at every layer. Join us to learn more about real customer use cases, how to get started, governance considerations, and more. 𝐂𝐨𝐦𝐩𝐥𝐢𝐦𝐞𝐧𝐭𝐚𝐫𝐲 𝐥𝐮𝐧𝐜𝐡 𝐢𝐬 𝐩𝐫𝐨𝐯𝐢𝐝𝐞𝐝 𝐚𝐭 𝐭𝐡𝐞 𝐞𝐯𝐞𝐧𝐭. Register now to secure your spot: https://lnkd.in/gVyQTSKN #Charlotte #AI #ArtificialIntelligence

🚀 **Harnessing the Power of AI and Cloud Integration** ☁️🤖 In today's digital age, the synergy between AI and cloud computing is transforming industries, driving innovation, and delivering unprecedented value. Here's why integrating AI with cloud services is a game-changer: 1. **Scalability and Flexibility**: Cloud platforms like AWS, Google Cloud, and Azure offer scalable resources that allow businesses to expand their AI capabilities without worrying about infrastructure constraints. 2. **Cost-Effectiveness**: Leveraging cloud services for AI reduces the need for significant upfront investments in hardware. Pay-as-you-go models ensure you only pay for what you use. 3. **Rapid Deployment**: Cloud platforms enable swift deployment of AI models, turning innovative ideas into operational solutions quickly and efficiently. 4. **Collaboration and Accessibility**: With cloud-based tools, teams can collaborate seamlessly from anywhere in the world, fostering a culture of innovation and inclusivity. 5. **Advanced Analytics and Insights**: Integrating AI with cloud services provides powerful analytics capabilities, turning raw data into actionable insights and driving smarter decision-making. As we continue to explore and innovate in this space, the possibilities are endless. From predictive analytics and personalized customer experiences to advanced automation and beyond, the future of AI and cloud integration is bright and full of potential. 🌟 Embrace the future. Leverage AI and cloud integration to drive your business forward. 🌟 #AI #CloudComputing #Innovation #googlecloud #Technology #DigitalTransformation #aws #azure #aicloud #dataanalytics #data #googledataanalytics

𝐀𝐳𝐮𝐫𝐞 𝐯𝐬. 𝐓𝐡𝐞 𝐂𝐥𝐨𝐮𝐝 𝐀𝐯𝐞𝐧𝐠𝐞𝐫𝐬: 𝐖𝐡𝐨 𝐖𝐢𝐥𝐥 𝐒𝐚𝐯𝐞 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚? Choosing the right provider can feel like assembling your own superhero team. Microsoft Azure , Amazon Web Services (AWS), and Google Cloud (GCP) are the leading contenders, each boasting unique powers and capabilities. 𝐖𝐡𝐲 𝐀𝐳𝐮𝐫𝐞 𝐒𝐭𝐚𝐧𝐝𝐬 𝐎𝐮𝐭: ⏩ Hybrid Superpowers: Azure’s hybrid capabilities allow seamless integration with on-premises infrastructure, making it a favorite for businesses looking to maintain flexibility. Companies like Volkswagen have leveraged Azure to enhance their hybrid cloud strategies, enabling them to manage data across various platforms efficiently. ⏩ AI and Machine Learning: Azure’s robust AI and ML services empower organizations to harness advanced analytics. For example, Coca-Cola utilizes Azure’s AI to enhance customer engagement and optimize operations, showcasing the platform's ability to drive innovation. ⏩ Scalability and Flexibility: Azure’s unmatched scalability means businesses can adjust their resources based on demand. With over 120 availability zones globally, it supports rapid growth and seasonal fluctuations, making it a go-to for companies like Adobe. As cloud computing continues to evolve, how do you see your organization leveraging hybrid cloud capabilities to enhance operational efficiency? What unique challenges have you faced in your cloud journey? Did you know that Azure has been reported to have a 20% lower total cost of ownership compared to AWS for similar workloads? #MicrosoftAzure #CloudComputing #HybridCloud #DataAnalytics #AI #MachineLearning #TechInnovation #CloudStrategy #DigitalTransformation

I am thrilled to announce my new journey with Cloud Lighthouse! 🚀 At Cloud Lighthouse, we're pioneering the future of cloud technology and AI, empowering businesses to navigate the digital age confidently. Our unique engagement models allow us to work globally for Microsoft, Microsoft Partners, and customers. From crafting actionable cloud strategies to driving AI integration, we're here to transform data into a powerful asset and architect resilient, future-ready ecosystems. We are excited to contribute to building strategic cloud solutions that deliver real business value and drive growth. If you want to know about what we do, please check the link in the comments. #AI #FutureReady #CloudLighthouse

If it wasn’t clear before, #AI is the single biggest revenue driver in cloud. “More than 65% of the Fortune 500 now use Azure OpenAI service.” Much of the AI spend is at the enterprise, where a 50% reduction in customer support cost or a 75% increase in engineering capacity filters billions to the bottom line. “The number of $100 million-plus Azure deals increased over 80% year-over-year, while the number of $10 million-plus deals more than doubled. " Copilot growth implies about a $500 million ARR product growing 35% QoQ - tripling annually. “We now have 1.8 million paid subscribers with growth accelerating to over 35% quarter-over-quarter…more than 90% of the Fortune 100 are now GitHub customers, and revenue accelerated over 45% year-over-year. " The rest of Azure is still growing in a nice clip of 24% annually. But AI added 7 percentage points or $4b to the revenue, a 31% growth rate for a $4b business means adding $1.2b of revenue in a year. The above is from a great write up by Tomasz Tunguz post Microsoft earnings announcement. What does it mean for the Connected World? More power More Data Center space More Fiber More Wireless More Antenna More Attachments in more places More Managed Services Much more security across the ecosystem #hyperscaler #cloud #Azure #connectedworld #befound

🎥 Watch the latest Google Cloud Marketplace video featuring Glean, showing how to seamlessly integrate generative AI into your workflow. Glean leverages the power of Google Cloud to empower professionals with instant access to accurate information, valuable insights, and automated tasks. Watch on demand to witness the transformative potential of AI in the workplace and how Glean can revolutionize your productivity. #GoogleCloud #Marketing #AI