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.
The White House has accused China of large-scale theft of U.S. AI intellectual property, citing coordinated campaigns targeting leading labs.
Google expands Gemini AI Overviews to Gmail and Drive, helping Workspace users summarize emails and retrieve insights faster across conversations.
Anthropic is actively recruiting a senior executive to source and negotiate data center deals across Europe, signaling the company’s intent to expand its AI compute infrastructure beyond the United States.
GRAI has closed a $9 million seed round to build tools that let listeners remix and interact with music rather than generate it from scratch. The company is betting that the future of music AI lies in social participation, not creation.
Retail investors can now gain exposure to OpenAI through Robinhood’s venture fund, which has taken a $75 million stake in the AI company.
Nvidia and Google Cloud unveiled new AI infrastructure and agentic AI capabilities at Google Cloud Next, targeting large-scale enterprise and industrial deployments.
AI startup Recursive Superintelligence has raised $500 million from Nvidia and GV to pursue self-improving AI systems, despite having no public product.
OpenAI has introduced Chronicle, a new Codex feature that tracks screen activity and builds context automatically. The tool raises privacy and security concerns.
LinkedIn is testing a new platform that lets users earn up to $150 per hour training AI models. The move taps into fast-growing demand for human feedback in AI.
As John Ternus prepares to take over as Apple CEO, investors are demanding a clearer AI strategy. The company risks falling behind rivals investing heavily in AI.