Artificial intelligence (AI) is now woven into nearly every enterprise technology stack. Salesforce, SAP, Microsoft and others position AI as central to their platforms, while boards press executives ...

Data integration vs. data ingestion: What are the differences? Your email has been sent With the increasing amount of data being produced, businesses need better ways to handle and use the information ...

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 ...

The Ministry of Higher Education and Scientific Research (MoHESR) has completed electronic data integration with 54 higher ...

Jo Varshney, PhD, DVM, discusses how VeriSIM Life’s innovative approach leverages artificial intelligence and multispecies ...

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 ...

For decades, enterprises have followed the practice of maintaining separate data stores for different applications (like AI and analytics) and leveraging data integrations – such as APIs, ETLs and ...

Open-source database maker ClickHouse Inc. today announced that it has closed a $400 million late-stage funding round at a ...

Data integration is no longer another developer problem to solve; it's a critical business priority." Adeptia’s company momentum comes as no surprise, given the increasing pressure surrounding data ...

Partnership with Motability Operations focuses on maintenance data, compliance and fleet performance across the Motability ...

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 ...