
Tag: collaboration
Harbr, a London startup that helps organizations like Moody’s Analytics to create their own custom data exchanges, yesterday announced that it has completed a Series A round of financing, netting $38.5 million for the growing concern. Read more…
The evolution demanded of companies today is propelled by the blurring of lines between the physical and digital worlds. With faster internet connections, the adoption of mobile and cloud technologies, as well as the advancement and ubiquity of technology, companies have had to rapidly adapt to a digital, data-driven world. Read more…
With the rise of digital chat platforms like Slack and Microsoft Teams, emoji have become a significant element of business communications. Emoji have a significant effect on communication via these digital channels: Read more…
Like cats and dogs, data engineers and data scientists often seem like two incompatible species. Scientists love probabilities and experimentation, while engineers live for repeatability and efficiency. They have different responsibilities and dissimilar mindsets, but getting these two personas to work together is a critical step for any organization that wants to succeed with data. Read more…
Trustworthy AI for enterprise applications remains elusive, frequently due to poor-quality or siloed data. The result is little confidence in early AI deployments, a vendor survey found.
Dataiku, the enterprise AI platform specialist, used the results its survey of about 400 data scientists, analysts and AI application users to make the case for “inclusive AI.” That approach not only democratizes data but improves quality and, with it, the potential for scaling AI projects into application users’ trust. Read more…
Openness is one of the hallmarks of modern data science – openness of data, of code, and of methods. By sharing our successes and failures with others, we raise our collective intelligence level beyond what we could each achieve individually. Read more…
Oracle moved this week to expand its portfolio of data tools and libraries with the acquisition of DataScience.com, developers of a collaboration platform that connects with popular workflows and cloud infrastructure. Read more…
Among the goals of self-service big data analytics vendors is unifying the entire technology stack to allow business analytics to glean insights from data lakes. Combining the ability to run natively on Hadoop clusters and leveraging existing Spark deployments to preserve technology investments, one player in the self-service platform sector also claims to provide data preparation, visualization and other tools to quickly scan millions of rows and terabytes of scattered data. Read more…
Big data can transform enterprise operations, uncovering trends that could be easily overlooked and pointing the way to new opportunities. From detecting a seemingly insignificant mechanical problem that could shut down operations to pinpointing an untapped market, the value big data offers is significant. Read more…
In-memory tools such as Apache Spark continue to mark inroads on predictive analytics platforms designed to allow data scientists and analysts to apply machine learning to large and diverse data sets. Read more…