The Pitfalls of Generative AI: How to Avoid Deepening Technical Debt
Addressing technical debt is not just a matter of reducing costs; it is about enhancing the overall effectiveness and resilience of an organization’s …
Addressing technical debt is not just a matter of reducing costs; it is about enhancing the overall effectiveness and resilience of an organization’s …
In this week's real-time analytics news: The Object Management Group announced the cross-consortia Artificial Intelligence Joint Working Group, bringing …
In a rapidly shifting AI landscape, achieving meaningful success with GenAI requires more than just advanced technology—it demands a well-coordinated …
Generative AI has the potential to transform cloud operations by automating complex tasks, optimizing resource management, enhancing security, and improving …
Graph RAG represents a significant step forward in AI-driven content generation. By combining the strengths of knowledge graphs with advanced language models, …
In a rapidly evolving market, an AI strategy that includes access to a broad range of capabilities and insights from multiple LLMs can be a
Building an LLM can be a strategic play for many organizations. Yet, even with all the benefits of doing so, third-party models still make a lot of sense for …
The responsible use of GenAI is not merely a choice; it is an imperative. In the absence of clear regulatory guidelines, businesses should develop a discerning …
The ability for companies to benefit from the convergence of cloud computing and generative AI will hinge upon putting both technologies to work on their data.
In this week's real-time analytics news: Deloitte, working with NVIDIA and Oracle, announced the launch of AI Factory as a