Enterprises that wish to remain relevant in their respective markets are embracing big data, including its benefits and challenges. Data integration plays a key role in big data as it allows ...

Data Integration vs ETL: What Are the Differences? Your email has been sent If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data ...

Data silos are the enemy of quality AI. Ensuring a consistent, accurate foundation for AI requires data be synchronized across mainframe, cloud and other platforms. Deep within nearly every enterprise ...

Data science has become an important catalyst for innovation. With this, businesses can analyze massive amounts of data to derive insights, anticipate trends and make informed choices. But data ...

Some functions related to data have advanced with astonishing speed: generation, dissemination, storage, even security (and yes, that one still has many challenges). But there are others still mired ...

While data integration is seemingly a natural fit for cloud giants' computing platforms, the cloud lags in the data integration market, which is being hugely transformed by artificial intelligence.

What's ahead for data analytics during the next 12, 24, or even 36 months? This area of business technology has seen sweeping changes in recent times, largely thanks to the rise of accessible AI. And ...

Your advisor customers expect access to their financial data in the reporting and technology platforms they use daily. It takes significant time and resources to establish direct integrations across ...