Explorium

zdnet.com | September 16, 2019

Machine learning is a powerful paradigm many organizations are utilizing to derive insights and add features to their applications, but using it requires skills, data, and effort. Explorium, a startup from Israel, has just announced $19 million of funding to lower the barrier on all of the above. The funding announced today comprises a seed round of $3.6 million led by Emerge with the participation of F2 Capital and a $15.5 million Series A led by Zeev Ventures with the involvement of the seed i...

Data Science

Explorium | November 27, 2020

Explorium, a computerized data science stage that interfaces data scientists and business pioneers to the data they requirement for better dynamic, reported they have accomplished Advanced Technology Partner Status in the Amazon Web Services (AWS) Partner Network (APN), encouraging their pledge to help their customers' man-made reasoning and (AI/ML) applications running in the cloud. The declaration comes a couple of months subsequent to joining the APN. Running on AWS, Explor...

Big Data Management

Explorium | March 23, 2022

Explorium, the External Data platform that automatically discovers thousands of relevant data signals and uses them to improve analytics and machine learning, has released new Salesforce integration capabilities, updates to its user interface, and added company workforce data to its data offering. As the need for external data grows and businesses look for shorter time to insights, new enhancements address user requests to make analytics and machine learning more efficient. Explor...

tdworld.com | January 24, 2020

For many utilities, this world is not far off. For PECO Energy Co., a subsidiary of Exelon Corp., this world is here now as a result of the Exelon Utilities Analytics Academy. This program is aimed at enabling employees to adopt digital skills, such as machine learning, operational analytics, visual storytelling and automated analysis. This ensures the people who are most familiar with the meaning behind the data also can conduct their own analysis, rather than having to rely on a central group ...