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👨‍💻Feature Engineering with LLMs for Tabular Data
🦾Plus: 🛣️ Google launches Gemini-powered Maps
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
⚙️7 Best Knowledge Management Systems
🤖I want to learn how to use Claude Skills (full course)
👨‍💻How to use /btw and fork sessions in Claude Code
🚀Cursor introduces CursorBench to evaluate AI coding agents
🌊 Google Built an AI Flash Flood Predictor
👉Nvidia and Palantir partnered to create new "AI operating system"
đź’ˇ AI Tutorial:Earn $500 Per Day With 3 AI Business Ideas
AI Tools and Data Tools to checkout
While large language models (LLMs) are typically used for conversational purposes in use cases that revolve around natural language interactions, they can also assist with tasks like feature engineering on complex datasets. In this article, you will learn how to use a pre-trained large language model to extract structured features from text and combine them with numeric columns to train a supervised classifier.
The Architecture Behind AI-Native Revenue Automation
In our new white paper, The Architecture Behind AI-Native Revenue Automation, Tabs CTO Deepak Bapat breaks down what it actually takes to apply AI to revenue workflows without breaking the books.
You’ll learn why probabilistic reasoning isn’t enough for finance, how Tabs pairs LLMs with deterministic logic, and why a unified Commercial Graph is the foundation for scalable, audit-ready automation. From contract interpretation to cash application, this paper goes deep on where AI belongs—and where it absolutely doesn’t.
If you’re evaluating AI for billing, collections, or revenue operations, this is the architecture perspective most vendors won’t show you.
This challenge is one of the main reasons enterprise organizations invest in knowledge management systems (KMS). These platforms help organizations centralize information, maintain documentation quality, and make knowledge accessible across teams and departments. A well-implemented knowledge management system allows employees to quickly find answers, reduce repetitive questions, and maintain operational consistency at scale.
I have combined every resource I have found to create a full course on Claude Skills. In less than 10 minutes you'll have built and deployed your first custom skill. After reading this article you will understand Claude Skills better than 99% of people (yes, really).
You’ll learn to optimize Claude Code workflows using the new “/btw” command. This feature lets you ask the AI questions inline without interrupting its progress or cluttering the context window. The tutorial also explains when to fork sessions for complex tasks or rewind to fix mistakes.
Cursor introduces CursorBench, a new way to measure AI coding agents. The system evaluates models based on how they perform on real development tasks inside Cursor instead of relying only on public coding benchmarks. The method compares how correct a model’s solution is and how much compute it consumes, giving a clearer picture of which models actually work best for developers.
Go self-serve with SDKs & APIs—or talk to the team for enterprise-grade deployment, compliance, and secure concurrency.
👨‍💻 Data Tools, Libraries
Superpowers: This coding agent framework implements a disciplined, junior-engineer-style workflow. Incorporating structured phases like brainstorming, explicit design, TDD, and planning enables agents to ship reliable code autonomously.
docker-pgautoupgrade
A PostgreSQL Docker container that automatically upgrades your database.
Lets-Plot
An open-source plotting library for statistical data.
AI News:
🗣️ Alexa+ Gets an Adults-Only Mode
Amazon added a new personality option to Alexa+ that curses, roasts you, and drops sarcasm on command. It requires extra security checks in the Alexa app and disables itself when Amazon Kids is active.
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Google used Gemini to mine 5 million news articles and map 2.6 million historical flood events across 150+ countries. The resulting model predicts urban flash floods up to 24 hours in advance.
Nvidia and Palantir have partnered to build what they call a “sovereign AI operating system” to help governments and companies run their own AI data centers. The system combines Nvidia’s AI hardware, including its Blackwell Ultra chips for training and inference, with Palantir’s software platforms like Foundry and AIP. Together, the stack is designed to handle everything from setting up the infrastructure to running AI applications
Amazon and Cerebras Systems have reached a deal to combine the two companies’ computing chips in a new service aimed at speeding up chatbots, coding tools, and other AI services. Under the deal, Cerebras chips will sit inside Amazon Web Services (AWS) data centers and be linked to Amazon’s own Trainium3 custom AI chips.
Anthropic launched a partner program for consulting firms and agencies helping enterprises adopt Claude, with technical certifications, sales playbooks, dedicated engineers, and a code modernization starter kit.
Facts. Without Hyperbole. In One Daily Tech Briefing
Get the AI & tech news that actually matters and stay ahead of updates with one clear, five-minute newsletter.
Forward Future is read by builders, operators, and leaders from NVIDIA, Microsoft, and Salesforce who want signal over noise and context over headlines.
And you get it all for free, every day.
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​Mastersheets: Unifies data with role-based spreadsheet workflows.
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