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Daily AI & Data News Summary - #24 October 2026
🔹 NVIDIA Releases New 4GB AI Model for Local Agents
NVIDIA has released Nemotron 3.5 Bolt E4B, an open language model optimized to run conversational AI agents using approximately 4GB of memory. Designed for edge devices, robotics, and local AI assistants, it highlights the growing shift toward smaller, faster, and more cost-efficient AI models.
🔹 Amazon Says AI Cloud Capacity Is Almost Sold Out Through 2027
Amazon CEO Andy Jassy revealed that AWS computing capacity for 2026 is already committed, with most of 2027 and significant portions of 2028 also reserved. The surge in demand from AI companies and enterprises highlights growing infrastructure constraints and the importance of optimizing model training, inference costs, and cloud resources.
🔹 OpenAI Partners With Poland to Advance AI Safety Research
OpenAI has announced a collaboration with Poland's NASK National Research Institute to strengthen AI safety and security research. The partnership will focus on evaluating advanced AI systems, identifying vulnerabilities, and improving safeguards as autonomous AI agents become increasingly capable.
🔹 AT&T and T-Mobile Strengthen Security for Agentic AI
Telecom giants AT&T and T-Mobile are increasing cybersecurity investments as AI agents take on more network management and data analysis tasks. Both companies emphasize encryption, identity verification, monitoring, and human oversight, demonstrating why secure AI governance is essential before deploying autonomous systems at enterprise scale.
🔹 Infosys Cuts Growth Forecast as AI Disrupts Traditional IT Services
Infosys has reduced its fiscal 2027 revenue growth forecast to 1–2% as enterprise technology spending increasingly shifts toward AI-driven solutions. The development highlights a major transformation in IT consulting, where clients are prioritizing automation, measurable business outcomes, and AI productivity over traditional resource-based service models.
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Daily AI & Data News Summary - #24 October 2026
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