Human resource (HR) data integration connects your organization's disparate data sources, allowing them to "talk", which gives you clear insights into your company and its people resources. But how do you implement HR data integration? What are the challenges and benefits? Learn more about integrating HR data here.

Build your own generative AI chatbot! This post is a continuation of our earlier blog post, “Assembling a RAG architecture using Fivetran.”

At NodeSource, we understand the hesitance and scrutiny that often accompany claims of "Node.js compatibility". The Node.js ecosystem is vast and intricate, and as Matteo Collina rightly points out, passing a "hello world" example is just the start. We believe N|Solid should be a component of every Node.js project, especially in production, to provide developers and organizations with the most advanced performance and security observability tooling.

Cloud Functions will revolutionize your data pipeline.

In the life sciences industry, where breakthroughs in research and healthcare are fueled by data, data silos can be a big problem. Data silos might be caused by things like legacy systems, departmental divisions, disparate data formats, or lack of interoperability standards. Data silos can manifest at any point in the product lifecycle and make it hard for the right people to access and use the information they need, when they need it.

Underperforming AI programs/models built using low-quality or inaccurate data cost companies up to 6% of annual revenue on average.

Many companies talk about cloud integration in a theoretical way. But cloud technologies aren’t theoretical. They’re a rapidly growing segment of technology that’s changing the way businesses operate. In the following article, we move from theory to practice so you can have a more realistic vision of what to expect when you move more of your on-site tech to the cloud.

Founders of the world’s leading data companies share their insights on the latest trends in their industry and the keys to turning generative AI into business impact.