The launch of The Xcelerated Compute Show reflects critical industry shifts as organizations struggle to keep pace with AI-driven infrastructure demands. This analysis examines the underlying challenges and what this means for enterprise technology adoption.
Qualcomm’s entry into AI chips marks a strategic pivot that could reshape semiconductor competition. Meanwhile, biotech sees major consolidation as Novartis acquires Avidity for $12 billion.
Google is bringing AI-powered health coaching to wrists with its Gemini-based Fitbit Personal Health Coach. The feature represents Google’s latest move to integrate artificial intelligence into everyday health monitoring through wearable devices.
INNIO’s massive 2.3-GW power infrastructure deal with VoltaGrid represents a fundamental shift in how data centers approach energy. This partnership addresses critical AI power demands but raises questions about scalability and market disruption.
The first day of TechCrunch Disrupt 2025 showcases significant industry evolution beyond typical startup hype. Space commercialization, AI infrastructure, and changing exit strategies dominate the conversation among 10,000 attendees.
Saudi Arabia is betting big on AI to transform its oil-dependent economy, but financial pressures and execution challenges threaten this ambitious pivot. The kingdom faces stiff competition in the global AI race while managing budget deficits.
Meta executives have informed risk management employees that their positions are being eliminated due to automation advances. The move represents a bold bet on AI’s ability to handle complex corporate risk assessment amid widespread concerns about the technology’s reliability in high-stakes environm
Chinese tech giants are racing to capture the AI glasses market that Meta helped validate, with Alibaba becoming the latest entrant. Goldman Sachs identifies key suppliers positioned to benefit from the emerging wearable computing trend as competition intensifies.
The European Union’s AI Act is creating substantial compliance challenges for medical imaging artificial intelligence systems, according to recent analysis. Radiology AI providers face ambiguous requirements around risk management systems and dataset representativeness that could impact patient safety and fundamental rights across healthcare systems.
Medical artificial intelligence companies are facing a regulatory maze as they prepare for the European Union’s AI Act, with new analysis revealing significant implementation challenges specifically for radiology AI systems. According to reports examining the practical implications, the legislation’s requirements around risk management and dataset quality are creating substantial gray areas that could impact patient safety and healthcare equity.
OpenAI has launched a comprehensive data collection service called “company knowledge” that analysts say could transform enterprise productivity. However, the extensive data access requirements and unclear data usage policies are generating significant security concerns among IT leaders.
OpenAI has rolled out what could be its most ambitious enterprise offering yet—a data collection and analysis capability called “company knowledge” that promises substantial productivity improvements. According to industry reports, the service aims to give AI systems unprecedented access to corporate information, potentially revolutionizing how businesses leverage their internal knowledge.
