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 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 ...

Technologies for analyzing proteome, metabolome, transcriptome, and epigenome data at both spatial and single-cell levels have come a long way. Taken together, these methods provide a holistic view of ...

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 ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

In today’s hyperconnected world, the average enterprise juggles more than a 1,000 applications—a number projected to increase dramatically as innovation accelerates. Research firm IDC estimates that 1 ...