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Andrew Ng, Cognitive Architectures, and a Whiff of Sourdough: Inside Snowflake Dev Day 2025

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Snowflake Dev Day 2025 is a big tech event in San Francisco where developers and data experts gather to learn about the latest in AI and cloud technology. The highlight is Andrew Ng’s keynote, where he encourages everyone1even beginners1to start building with AI, making complicated tools feel simple and accessible. The day is packed with exciting talks, handson workshops, and a contest where new startups showcase their ideas. The whole event buzzes with energy, innovation, and the feeling that anyone can be part of the AI revolution.

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Microsoft Build 2025: Protests, AI Security Fumbles, and the Cloud’s Shifting Tectonics

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Microsoft Build 2025 was a whirlwind of excitement and tension. Protests broke out over Microsoft’s cloud contracts with Israel, sparking big questions about tech and ethics. In the middle of the chaos, a secret chat leaked, revealing Walmart’s plans to use Microsoft’s new AI tools. All eyes were on Microsoft’s security and cloud strategies, as tech, politics, and accidental drama collided under one roof.

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The Phantom Intrusion: Chinese State-Sponsored “Typhoon” Groups Crash SAP’s Party

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Chinese governmentbacked hackers, known as “Typhoon” groups, launched a big cyberattack on SAP systems using a new flaw in early 2025. They broke into at least 580 SAP servers around the world, sneaking in with dangerous tools and hiding their tracks. These hackers targeted big companies and even governments, aiming not just to steal but to spy and disrupt. The attack caused chaos—making systems slow and unreliable, leaving businesses worried and scrambling to recover. This wasn’t a quick hit for money, but a patient, sneaky operation that left a lingering sense of danger across the digital world.

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Databricks Scoops Up Neon: Where Serverless Postgres and AI Collide

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Databricks bought Neon to bring together transactional and analytical data in one powerful platform, using Neon’s speedy, serverless Postgres technology. Neon’s special design lets databases start in milliseconds and scale up or down instantly, which is perfect for AI that needs to create and manage lots of databases super fast. This move helps developers build AIpowered apps quickly and easily, with tools that feel as smooth as using Git for code. The deal makes Databricks a bigger player in the data world, offering a onestop shop for companies, especially in fields like life sciences, to manage all their data needs.

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Salesforce xGen-Small: The Enterprise AI Dynamo in a Demitasse

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Salesforce xGenSmall is a new family of compact AI models designed just for businesses, boasting powerful performance while staying small and efficient. Unlike bulky, expensive AI, these models process huge chunks of info1ike entire contracts or years of customer chats1without breaking a sweat. With clever engineering, they deliver fast, accurate results for jobs like customer support, contract review, and code generation, all while being easy and affordable to use. They’re already getting rave reviews for making tough work easier, saving time, and working well on regular hardware. Now, anyone can try them out and see enterprise AI made simple and smart.

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Salesforce Agentforce: Chasing the Mirage of Truly Autonomous Enterprise AI

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Salesforce Agentforce is a powerful new AI platform designed to automate tough business tasks inside Salesforce. It uses the smart Atlas Reasoning Engine to break down complex jobs, making work easier and faster for sales, support, and marketing teams. With simple tools, anyone can build AI agents or pick from readymade ones in the AgentExchange marketplace. Big companies are already seeing big improvements, like faster customer help and smoother workflows. Agentforce is shaking up the old way of doing things—making businesses more efficient and ready for the future.

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The Database Jungle, Circa 2025: Who’s Winning, Who’s Just Roaring?

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In 2025, the database world is wild and fastchanging, with Oracle still leading, but MongoDB and Snowflake quickly catching up. MongoDB shines with its flexible, cloudfriendly design and is loved by developers, tech companies, and retailers. Snowflake impresses with powerful data analytics and superstrong privacy features that let companies safely share and study information. The whole market is exploding in size, especially in cloudbased services, turning old leaders and new challengers into fierce rivals. It’s not a quiet field—everyone’s racing to avoid being left behind in this huge, highstakes jungle.

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The Evolving Palimpsest of CX Platforms: Twilio, Zoho, Forethought, and Dialpad in 2025

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In 2025, customer experience platforms from Twilio, Zoho, Forethought, and Dialpad are bursting with new ideas and smart technology. Twilio brings all customer data and talking tools together using powerful AI and a sharp partnership with Microsoft, making everything work neatly like music. Zoho makes fancy CRM tools easy for everyone by letting people use plain language and simple draganddrop features, even connecting millions through apps like WhatsApp and Line. Forethought rolls out multiple AI helpers that handle calls, chats, and emails at the same time, while Dialpad’s clever AI solves problems before customers even notice them. This year, CX feels faster, smarter, and more magical than ever.

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Databricks Data Intelligence for Marketing: Unifying Chaos, One Click at a Time

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Databricks Data Intelligence for Marketing is like a superorganized control room for all your scattered marketing data, bringing everything together in one place. It lets marketers get instant answers, create smart campaigns, and personalize messages with the help of AI, all without needing tech support. The platform feels fast and easy, turning messy data chaos into clear, usable insights in just a few clicks. It’s built to work for all kinds of businesses, from pharma to retail, making marketing smoother, smarter, and ready for the future.

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SAP: Cloud Kingpins, AI Alchemists, and the Unseen Jigsaw of Market Might

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SAP became Europe’s most valuable company in 2025 by growing its cloud business fast and using smart AI tools, making its software the backbone for global supply chains. Over 80% of its customers moved to the cloud, bringing in steady, reliable money and helping SAP stand strong even during tough times for other industries. While luxury brands and drug companies struggled with changing trends and global troubles, SAP quietly kept the world’s businesses running smoothly with invisible but powerful code and data. Thanks to this, SAP zoomed past famous rivals, showing that clever software can be more valuable than handbags or medicine.

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When the Hype Curve Flattens: Cohere, Enterprise AI, and the Art of Missing the Mark

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Cohere missed its 2024 revenue goals by a huge 85%, earning just $30 million instead of the $450 million they expected. The main reasons were tough competition and slow adoption of AI by big companies, which often face lots of rules and technical hurdles. To fix this, Cohere shifted its focus to secure, private AI services for sectors like finance and healthcare, doubling its revenue and boosting profits. Investors still believe in Cohere, raising its value and pouring in more money, while the company now bets on specialized, safe solutions instead of flashy, broad AI promises. The real challenge for Cohere26mdash;and others26mdash;is not the AI itself, but getting oldschool businesses to actually use it.

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Monzo’s Metamorphosis: Neon Dreams, Regulatory Reality, and the IPO Horizon

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Monzo became profitable in 2024 and now serves over 11 million people. Monzo began in 2015 with bright neon cards and a supereasy banking app, quickly winning over millions in the UK. Against tough odds and lots of doubts, the bank is thinking about going public, but can’t decide between a London or New York stock market listing. Monzo’s journey wasn’t all smooth—there were leadership changes, regulatory challenges, and tough questions about making money. Still, its mix of cool tech and friendly service turned Monzo from a hipster fad into a banking powerhouse, and now everyone’s watching to see what happens next.

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