Explorium for Business

Over the last few years, the amount and variety of available data has grown at an unprecedented rate. At the same time, predictive models have become commoditized, mainly due to well-designed open-source libraries. This has gotten us to the point where it’s relatively easy to train predictive models but increasingly more difficult to find the right data to feed them.

You can rarely depend on new models to improve your predictive power. So, what do you do? Start the long and time-consuming process of data acquisition, right? 

Here’s the thing: it’s impossible to interact, test, and understand the value of every data source and provider out there. The process of doing so with even one data provider includes (among other things) research, endless proof of concept engagements, testing, API integrations, legal documents, money, and due diligence. Extracting actual machine learning features from these data sources only adds another level of complexity and does not guarantee an uplift in your model. 

Learn how:

- Explorium handles the data acquisition challenge

- How data scientist can use Explorium for to make a bigger impact on their business

- How our customers use Explorium to drive fast and impactful ROI

 

No Previous Flipbooks

Next Article
Understanding and Handling Data and Concept Drift
Understanding and Handling Data and Concept Drift

Over time, ML models start to lose predictive power due to a concept known as model drift. How can you spot...

×

Ready to see Explorium in action?

First Name
Last Name
Company Name
Job role
!
Thank you!
Error - something went wrong!