Data silos are the natural result of decentralized systems and tooling decisions that optimize for individual departments rather than the organization as a whole. Common entities like "client," "customer," or "user ID" often differ across departments, complicating data integration -- custom ETL (extract, transform, load) processes (read: spaghetti code) that are challenging to scale and maintain. It doesn't have to be that way.
Data silos are the natural result of decentralized systems and tooling decisions that optimize for individual departments rather than the organization as a whole. Common entities like "client," "customer," or "user ID" often differ across departments, complicating data integration -- custom ETL (extract, transform, load) processes (read: spaghetti code) that are challenging to scale and maintain. It doesn't have to be that way.
Modernization is inevitable. You're never finished. If you didn't do it last week, you're going to need to do it next week. That said, the pace of software change is continuing to accelerate, but sometimes simpler is better.
ChatGPT and GenAI have upended content creation and interaction with customers. As "newness" wears off, we settle into a (reasonably) reliable and predictable trajectory. Organizations have gone from "let's see how this works" to "we need to make this work for us ASAP." And now, GenAI opens the door to a bigger technology change: agentic systems.
In the fast-paced world of green energy, where the ability to adapt is crucial, Databricks provides them with the tools and flexibility they need to stay ahead of the curves in the supply and demand landscape.
In the world of enterprise data management, text-to-SQL technology, while helpful, is it simply not enough for today’s complex data environments?
Uncover the risks of openwashing in AI tools like ChatGPT. Learn about the Linux Foundation's new tools for ensuring model transparency and protecting your interests.
CGDevX has always been about making things easier and more reliable for developers, and today we're announcing the release of the CGDevX Cloud Application Starter Kit (CNASK).
OpenAI, Google, and Meta streaking towards multimodal AI, enabling more human-like interactions and revolutionizing various applications.
Delve into the cost analysis of running AI compute resources independently versus utilizing hosted models. Learn about AWS pricing for GPU instances and consider factors like workload scheduling and hardware options.
ICYMI: Nick Chase's tech talk on 'End-to-End MLOps with MLflow and Kubeflow' from the AI.Dev Summit presented by the Linux Foundation.
EU's AI Act: A game-changer in global AI regulation, introducing binding rules, transparency in AI usage, and significant fines for...
Discover CGDevX by CloudGeometry, a cutting-edge platform engineering reference implementation. Transform development with automated workflows, CI/CD, and collaboration for efficient, high-quality...
