Big Data refers to extremely large and complex datasets that are difficult to manage, process, and analyze using traditional data tools. It encompasses information collected from diverse sources such as social media, sensors, mobile devices, and online transactions, often generated in real time. In artificial intelligence, Big Data serves as the foundation for training machine learning models, improving accuracy, and uncovering insights that drive smarter decisions. The concept is typically defined by the “three Vs”: volume, velocity, and variety – representing the size, speed, and diversity of data. Modern AI systems rely on Big Data technologies and frameworks like Hadoop and Spark to store, process, and interpret this vast information efficiently.
IBM and Ferrari are using AI-powered storytelling, analytics, and personalization tools to transform Formula One fan engagement through Ferrari’s standalone fan app.
A new U.S. study found that one in seven young adults in committed relationships regularly use AI romantic companion chatbots, with many concealing the behavior from their partners.
California Governor Gavin Newsom signed an executive order directing state agencies to study and mitigate AI-driven job losses through retraining programs, labor protections, and employment support measures.
Google has launched Antigravity 2.0 with a new desktop app, CLI tool, and SDK for building AI coding agents and automated workflows. The update expands Google’s push into agentic software development powered by Gemini 3.5 Flash.
A U.S. jury ruled in favor of OpenAI in Elon Musk’s lawsuit accusing the company of abandoning its nonprofit mission. The verdict removes a major obstacle to OpenAI’s potential IPO plans while intensifying the rivalry between Musk and Sam Altman.
Google and Blackstone have formed a new AI infrastructure company focused on offering cloud access to Google’s TPU chips. The venture aims to expand alternatives to Nvidia-powered AI infrastructure with $5 billion in initial funding.
Cursor has released Composer 2.5, an upgraded AI coding model built on Moonshot’s Kimi K2.5 checkpoint. The company says the model improves long-running coding workflows, instruction following, and reinforcement learning techniques for software engineering tasks.
Meta is moving thousands of employees into AI-focused teams while cutting 10% of its workforce as part of a broader organizational overhaul. The restructuring comes as new labor data shows AI-exposed occupations across the U.S. continue to lose jobs.
Anthropic is reportedly preparing to brief the Financial Stability Board on cyber vulnerabilities identified by its Mythos AI model.
Accenture has expanded its collaboration with Stellantis and Nvidia to build AI-powered digital twins for automotive manufacturing.