Generative AI | News, how-tos, features, reviews, and videos
Both the US and the EU have mandated a risk-based approach to AI development. Whatever your risk level, ultimately it’s all about transparency and security.
Data pipelines are essential for connecting data across systems and platforms. Here's a deep dive into how data pipelines are implemented, what they're used for, and how they're evolving with genAI.
The expensive, painful lessons we learned from the early days of cloud computing are relevant to the generative AI era.
When AWS CEO Matt Garman told developers that “it's possible that most developers are not coding” by 2026, it raised the question of how different AI-centric coding environments would look.
While almost every respondent said they used AI coding tools, only 38% of developers in the US said their organizations actively encouraged adoption.
The updated family of models from Microsoft outperformed rival models from Meta and Google across several benchmarks, falling behind only OpenAI’s GPT-4o-mini.
Microsoft opened its AI-focused .NET conference emphasizing developer tools integrating AI with .NET, including GitHub Copilot.
The new approach trains LLMs to create their own training data for evaluation purposes.
Understanding the lumpy pattern of technological evolution is essential for organizations that want to make informed decisions about when to invest in and adopt new technologies.
Artificial intelligence will redefine cloud security with adaptive frameworks, enhanced threat intelligence, and predictive analytics to usher in an era of proactive protection.