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 …
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Addressing technical debt is not just a matter of reducing costs; it is about enhancing the overall effectiveness and resilience of an organization’s …
Distributed training addresses compute scarcity in AI by distributing workloads across multiple devices, enabling efficient scaling, faster training, and …
Generative AI has the potential to transform cloud operations by automating complex tasks, optimizing resource management, enhancing security, and improving …
Many supply chain organizations aim to make their operations smarter by investing in generative AI, data analytics, automation, digital twins, machine …
As data continues to play an increasingly central role in business operations and decision-making, the importance of efficient, flexible, and scalable data …
Modern tech stacks require a new approach to observability that enables continuous monitoring and optimization of performance metrics. This approach …
Confluent's Current conference highlighted the critical role of data streaming in addressing the real-time data needs of AI.
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 …
A quick overview of ten Python libraries that can assist you in optimizing your workflow, improving your models, and maximizing your
MIT CISR study: Companies operating in “real-time-ness” had more than 62% higher revenue growth and 97% higher profit margins than their slower …