🌐 GenAI - What’s Actually Working?

Hey folks,

Google just updated their list of real-world AI use cases... What started as 101 examples has exploded 6x to in one year to 601 examples, covering everything from fraud detection to drive-thru orders. It’s basically a giant menu of how companies are quietly slipping AI into every corner of work and life. Some of it’s smart, some of it’s a little ambitious. Either way, it’s worth a skim if you’re thinking about where AI might sneak into your own workflows next. If you’re looking to scan for AI opportunities in your business, try this link.

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🌏️ Enterprise Gen AI: What’s Actually Working in the Real World?

🐝 The Buzz: IoT Analytics just dropped a massive study analyzing 530 real-world enterprise GenAI projects, and it’s packed with insights on where companies are actually getting value.

• Customer Support Takes the Lead: Nearly half (49%) of the projects focus on customer support, with 35% specifically aimed at resolving customer issues. Think AI chatbots and virtual assistants handling FAQs and troubleshooting.

• Marketing and IT Are Also in the Game: Marketing departments are using GenAI for content creation and campaign optimization, while IT teams leverage it for code generation and system monitoring.

• Tech Industry Leads Adoption: Tech companies account for 56% of the projects, with notable examples like SAP’s Joule AI assistant and Salesforce’s Einstein GPT. Manufacturing and professional services follow, with projects like Siemens Industrial Copilot and KPMG’s KymChat.

• North America Is Ahead: More than half (56%) of the implementations are in North America, indicating a regional lead in GenAI adoption.

💡 Takeaway: GenAI is moving beyond the hype and finding real applications in customer support, marketing, and IT. The tech industry is leading the charge, but other sectors are catching up. If you’re looking to implement GenAI, these areas might be the best place to start.

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👟 ChatGPT Now Does Shopping, Without Ads.

🐝 The Buzz: OpenAI just rolled out a new shopping feature in ChatGPT that lets you browse and compare products like espresso machines, office chairs, or skincare sets, all without leaving the chat. You can’t check out directly in ChatGPT (yet), but it’ll guide you to the retailer’s site when you’re ready to buy. ​

• No Ads, No Sponsored Results: Unlike Google Shopping, ChatGPT’s product picks aren’t influenced by paid placements. It pulls from reviews, forums, and editorial sources like WIRED to give you recommendations based on what people are actually saying, not what advertisers are paying to promote. ​

• Personalized Suggestions: ChatGPT remembers your preferences. If you mention you like minimalist design or are shopping on a budget, it’ll tailor future recommendations accordingly. ​

• Visual Product Cards: Search results now come with images, prices, star ratings, and reviews, making it easier to compare options at a glance. You can even ask follow-up questions about specific products directly in the chat.

💡 Takeaway: ChatGPT’s new shopping feature aims to make online shopping more conversational and less ad-driven. It’s a move that could challenge traditional search engines by offering a more personalized and transparent shopping experience.

📰 Like newsletters? Here are more our readers enjoy.

💻️ How to shop through ChatGPT

ChatGPT recently added shopping workflows into the UI. Now you can prompt for anything and ChatGPT will combine the shopping list for you, with direct links to buy the item.

• Go to ChatGPT

• Prompt the following

mens running shoes for long distance under $140 USD.

🐝 AI buzz bits

🧠 The DeepSeek documentary revealing just how much the world got wrong about R1, what motivates the man behind the company, and what's next. Do we already have hints about what will be in DeepSeek R2?

🚗 Sundar Pichai hinted that Waymo might offer self-driving cars for personal ownership in the future, shaking up the auto world with potential direct sales—picture owning a high-tech ride without a steering wheel!

🚀 Dive into the world of AI with Hugging Face's Tiny Agents—craft a functional Agent in just 50 lines of code using MCP, and simplify your AI interaction by connecting tools seamlessly to your LLM.

🔍 Anthropic's CEO Dario Amodei is on a mission to decode AI's complex inner workings, setting an audacious 2027 goal to tackle the mysteries of AI models, ensuring we're not flying blind into an AI-driven future!

🖼️ Generative Art

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