Why is data integration so difficult? For many organizations, data integration has been handled as a dark art over the years, implemented behind the scenes with ad hoc scripts, extract, transform, and ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

Data integration is a leading priority for enterprise executives, with 82% of senior executives considering scaling AI a top priority. However, this ambition is frustrated by the longstanding practice ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--TIBCO, a global leader in enterprise connectivity, empowers the world’s most innovative companies to solve their complex data challenges and make mission-critical ...

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...

Importing, transforming, and validating data from unmanaged external sources is a messy, complex process. A data exchange platform can help. What has always fascinated me about Moore’s law is that for ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

Forget just connecting apps; today’s integration architects need to be part coder, part business strategist and part security pro to keep modern systems hummin’. Enterprise integration has changed ...

As the holiday season is in full swing, it’s retrospection and prediction time! Let’s look at what I thought 2023 would look like, review how it turned out, and take a first stab at 2024 predictions.

The dominant failure mode of industrial predictive maintenance is not model inaccuracy. It is a broken handoff between detection and response. This paper describes an integration architecture that ...

Modernizing outdated, monolithic systems isn’t easy, especially for companies in highly regulated sectors like finance.