The AI Revolution in Data Protection: How MCP is Reimagining Backup and Disaster Recovery
MCP won't instantly revolutionize disaster recovery, but it is a leap toward making your data protection strategy smarter and more adaptive.
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
MCP won't instantly revolutionize disaster recovery, but it is a leap toward making your data protection strategy smarter and more adaptive.
Addressing AI's energy-guzzling nature all comes down to using artificial intelligence thoughtfully, according to a recent Accenture
It turns out that giving AI models time to think before returning answers provides better quality answers. Lilian Weng explains
In this week's real-time analytics news: Multiple companies make their solutions available in the new AI Agents and Tools category of AWS
As vibe coding makes its way into the enterprise and AI continues to evolve, it underscores the importance of applying the previous lessons learned through …
Businesses seeking to make the most of prompt engineering would do well to adopt a strategy wherein they systematically rate the quality of responses to …
Neoclouds are new-generation of AI-focused cloud infrastructure providers. They differentiate themselves from traditional hyperscalers (such as AWS, Azure, and …
Conversational AI agents learn to pause, take turns, and resume speaking at the right times in this latest product
The Digital Twin Consortium's AI Agent Capabilities Periodic Table is a framework that offers a standardized approach for evaluating AI agent systems based on …
In this week’s real-time analytics news: Amazon Web Services (AWS) announced new capabilities in Sagemaker AI.