🚀 IBM released Granite 4.0 open-source model

In today's edition: What's Shaping the Future of Data?

• 📊 10 Trends in BI to Facilitate Data Analytics

• 🔬Best practices and tools in R and Python for statistical processing

• 🔍 Google's New AI System Acts as Reliable Research Partner

• 📐 Tencent Hunyuan Introduces Method for Scaling LLMs

• 🤝 Nvidia and Fujitsu strike AI partnership in Japan

• 💡 AI Tutorial:How to use Claude in your Slack workspace

• 🤖 AI Tools and Data Tools to checkout

🚀 IBM released Granite 4.0 open-source model

IBM launching Granite 4, the next generation of IBM language models. Granite 4.0 features a new hybrid Mamba/transformer architecture that greatly reduces memory requirements without sacrificing performance. They can be run on significantly cheaper GPUs and at significantly reduced costs compared to conventional LLMs.

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10 Trends of Business Intelligence to Facilitate Data Analytics and Decision Making

In this article, we delve into the top 10 trends in Business Intelligence that enrich data analytics and drive sound decision making to businesses in various domains. From augmented analytics and AI-driven insights to the rise of data storytelling and cloud-based BI solutions, these trends are paving the way for more informed and agile organizations.

Best practices and tools in R and Python for statistical processing

Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and visualize statistically significant trends and biologically relevant differences. Besides tailored methods developed by individual labs, a solid core of freely accessible tools exists for exploratory data analysis and visualization

Google publishes a new AI system which act as a reliable research partner

AlphaEvolve, an LLM-based coding agent, to find and verify combinatorial structures that improve results on the hardness of approximately solving certain optimization problems. Recently, large language models (LLMs) have demonstrated surprising capabilities in competitive mathematics and competitive programming, demonstrating world-leading performance across both of these fields.

Tencent Hunyuan introduces method for scaling LLMs without human annotations

This paper introduces RLPT, a method to train large language models directly on pre-training data with reinforcement learning. It removes human annotation needs and shows strong gains on MMLU, GPQA, and AIME benchmarks.

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👨‍💻 Data Tools, Libraries

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AI News:

🤝 Nvidia and Fujitsu strike AI partnership in Japan

Under an expanded collaboration, the companies will co-develop full-stack AI infrastructure and an AI agent platform for sectors like healthcare, manufacturing, and robotics. Fujitsu says the stack will integrate FUJITSU-MONAKA CPUs and NVIDIA GPUs via NVLink Fusion. The initiative aims to establish foundational AI infrastructure for Japan by 2030, with scope to expand globally as snnounced in Kawasaki today.

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🛰️ Jeff Bezos pitches space-based data centers at Italian Tech Week

Speaking in Turin, Bezos said gigawatt-scale data centers could be built in orbit within 10–20 years, tapping continuous solar power and avoiding weather disruptions. He linked the vision to surging AI/cloud energy demand on Earth. Challenges include launch costs, maintenance, upgrades, and operational risk. Bezos compared AI’s rise to the internet boom, urging caution in separating hype from lasting advances.

💰 AI chip startup Unconventional raises toward $5B valuation

Former Databricks AI chief Naveen Rao is raising $1B for Unconventional, Inc., targeting a $5B valuation. The round is led by Andreessen Horowitz, with Lightspeed, Lux Capital, and Databricks also investing. Rao has already secured “hundreds of millions” and plans to close the rest in tranches. According to TechCrunch, Bloomberg first reported Databricks’ participation earlier this year.

💻 MIT launched America's most powerful university AI supercomputer

MIT Lincoln Laboratory launched TX-GAIN, America's most powerful university AI supercomputer, delivering two AI exaflops using 600+ NVIDIA GPUs while reducing energy by 80%.

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AI Tutorial

How to use Claude in your Slack workspace

• Open Slack and log in to your workspace

• Go to Apps in the left panel and click on ‘+Add apps‘

• Click on ‘Install‘ and ‘Add to Slack‘

• Allow access to your workspace to add Claude to your Slack

• Once added, click on Claude to chat with Claude through DMs

• Tag @Claude in threads, or use the AI assistant panel—with access to web search, document analysis, and your connected tools

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Become An AI Expert In Just 5 Minutes

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