Salesforce, a leading customer relationship management software company, is acquiring cloud data management firm Informatica in an $8 billion deal, paying $25 per share to bolster its push into artificial intelligence and enable autonomous AI agents to deliver smarter and safer outcomes.
Data centers consume enormous amounts of water for cooling servers and equipment, posing new challenges and opportunities for civil engineers to design efficient water systems, minimize consumption, and collaborate with utilities for sustainable operations.
AI models can now translate natural language into SQL, enabling non-technical users to access data efficiently; techniques like context building and intent understanding improve translation quality, evaluated through synthetic benchmarks and AI-based judging.
Anthropic announces four new capabilities on its API to build more powerful AI agents: code execution, MCP connector for external system integration, Files API for efficient document management, and extended prompt caching for up to an hour, enabling developers to create context-aware agents with advanced analytics.
AI is set to disrupt finance by accelerating product development, while Chime's profitable IPO filing with 8.6M members and Nubank's 40% revenue growth amid challenges in Brazil highlight the industry's dynamic landscape.
BMW is pioneering the use of AI applications like Knowledge Navigator, Offer Analyst, and Tender Assistant to streamline its purchasing processes, supplier analysis, and tender management, while the Alconic agent system monitors supply chain data and identifies optimization opportunities using AI.
A recent survey found that nearly 7 in 10 companies now use AI for work, with employees encouraged to utilize it for tasks like scheduling, data analysis, and content writing, signaling a major workplace shift towards AI adoption and integration.
Airia unveils a personalized AI demo for corporations, featuring an AI orchestration platform with rapid prototyping, data integration, and intelligent operations, while prioritizing enterprise-grade security and governance to manage AI risk.
Entropy, a measure of disorder and uncertainty in data, holds the key to unlocking optimal machine learning models by guiding feature selection, split criteria, and optimization, ensuring models strike the perfect balance between overfitting and underfitting for peak performance.
AI's integration with precision medicine enables accurate cancer diagnoses, optimized treatments, and equitable solutions by leveraging pathomics, deep learning models like NAFNet for predicting outcomes, and developing population-specific AI models with diverse data sets.