CIOs worldwide reshape strategies, teams, and governance models to embrace the transformative agentic AI era, fostering human-machine collaboration, agile teams, restructured IT governance, and upskilling for new AI capabilities.
AI agents revolutionize industries by accelerating software development for higher-quality, faster releases, enabling data-driven decision-making through complex information synthesis, and optimizing operations across IT, manufacturing, and customer service.
In a controversial move, Google removes its net-zero emissions pledge as the tech giant's energy usage surges 26% this year, driven by the AI boom, raising concerns about Big Tech's ability to meet climate goals amidst skyrocketing energy demands.
Synthetic data generated by AI models are revolutionizing privacy preservation, enabling cost savings and faster AI development while requiring rigorous evaluation to maintain performance.
AI agents embrace transparency and modular architectures, from single-agent to collaborative patterns, enabling trusted capabilities by admitting uncertainty and exposing reasoning.
Scientists unveil Datavzrd, an open-source tool transforming complex data tables into interactive HTML visualizations, making massive datasets accessible across fields without coding, enabling intuitive multi-table exploration and flexible data presentation.
Sam Altman stunned by banks' voice authentication, Elon Musk ponders AI's role in fulfilling human needs, OpenAI unveils gpt-realtime for low-latency speech-to-speech applications.
Apple revolutionizes Siri with AI-powered 'World Knowledge Answers' that summarizes web information using Google's Gemini AI model, set to launch with iOS 26.4 as early as next March, transforming the digital assistant experience.
AI agent startup Sierra secures $350 million in funding at a $10 billion valuation, with the company founded by former Salesforce co-CEO Bret Taylor serving hundreds of enterprise customers and tracking toward over $100 million in recurring revenue.
Claude Code's AI coding assistant is monitored using OpenTelemetry and SigNoz, capturing key metrics like token usage, costs, request patterns, and performance, visualized in dashboards, providing insights into adoption, productivity gains, and system reliability.