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.
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.
New app releases are surging across the App Store and Google Play, driven by AI tools lowering barriers to development. The trend challenges predictions that AI would replace apps.
Researchers at NTU Singapore have developed an AI-powered biochip that detects disease-linked microRNAs in minutes. The system could enable faster, more precise diagnostics.
Anthropic is rolling out identity verification for Claude users to strengthen safety and compliance. The move introduces ID checks for certain features and use cases.
Anthropic has released Claude Opus 4.7 with improved coding, vision, and reliability features. The update also introduces new safety controls for cybersecurity use cases.