Explorium Blog

Explorium is changing the way companies find and use data for superior machine learning models and business decisions.

Machine learning is a key tool for improving marketing. Let's break down how Tom Haverford from Parks and Recreation could have used it to save e720.

Many organizations see data acquisition and management as a business expense. You may hear questions like, what does it cost to collect and capture this data? The post Turning Data from a Cost...

In some ways, OZARK’s main plot seems too good to be true, and it might actually be. In the real world where ML-powered risk models exist, could Marty Byrde really get away with his schemes?

In this in-depth article, we explain how the right questions will help you get the domain knowledge you need for data science for business.

Data privacy continues to be a major hurdle for risk officers. In this article, we explain how the global increase in data surveillance creates short term opportunities but long term risks.

Marketing data science has the power to transform businesses. However, for success, marketers need to know how to communicate their goals properly.

Automation and data science are a match made in heaven. It's up to data leaders to understand how to introduce it to their teams in the right way.

Risk and probability are based on data. You establish the statistical risk of losing an investment based on other investments that didn’t work out. You assess The post What Happens When The...

In this article, we explain how the data science revolution is all about asking questions that get precise answers for the future.

In this article, we explain how to turn the biggest data science challenges of the moment into business opportunities.

To succeed in the data science field, you need more than just technical acumen. We reveal the secrets to making your team indispensable.

Dynamic risk models add a dimension to rules-based risk modeling that makes you more agile to the changing world.

When it comes to external data for machine learning, data catalogs provide a handful of time-saving benefits over databases. Learn more.

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.

Walter White and Marty Byrde are known for their money laundering schemes. But could they really fool the best risk models banks have today? Let's look.

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

Top tips to engage stakeholders at every stage of the data science project life cycle.

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