Data and analytics leaders

Leaders must find a way to prove, tangibly, that embracing data and investing in better ways to use it has true value and real ROI.

Data marketplaces make the lives of data scientists looking for machine learning datasets much easier. Read how.

With ML models rendered useless, we built an entirely new set of COVID-19 signals in our platform that let organizations understand their risk derived from the current pandemic.

Data acquisition is a long and time-consuming process that many data and analytics leaders don't have time for. How can you streamline it for a major impact?

In this article, we explain where external data comes from, the key challenges, and how to connect and utilize it with data science solutions.

Let’s take a look at some of the most prevalent types of bias, the data mistakes that cause them – and how to prevent this from happening in your own models.

For lenders, pre-COVID-19 data is no longer useful in a post-COVID-19 world. Here's how we're giving our customers external data to ensure their risk models work in our new reality.

It’s time to look outside of our own silos to external data and make sure that despite the crises we face, we can give our organizations the power to make it through. The post Tomorrow Comes Today –

There are some insights that can only come from the data you produce or collect in-house. Historical sales figures, for example. Foot traffic through your store. The post How SMBs Can Boost Their...

Building core operations around ML models has helped many companies thrive across many other verticals. Still, others wait to implement at a large scale. Why?

From data economy growth to KPI-driven DS teams, our data science predictions for 2020 are all about the data.

Part ML platform, part data marketplace, Explorium promises to automate data and feature discovery, and build and deploy models for your analytics and application needs.