Data enrichment
-
What Is Augmented Data Discovery with Explorium?
With so much data in your own stores, it’s tempting to think you have all you need to start producing great predictive insights. This might be The post What Is Augmented Data Discovery with...
-
How to Use Data to Position Your Company For Tomorrow
In this article, we explain how CDOs and Data Leaders can use data science to help all parts of the business stay ahead of the curve.
-
How to Improve Your Training Data for Vastly Better Machine Learning
Making your training data better is much easier than you think, and you can use several easy strategies for quick wins.
-
Where’s the ROI? Demonstrating the Value of Data
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.
-
Why Data Marketplaces Are the Future of the Data Economy
Data marketplaces make the lives of data scientists looking for machine learning datasets much easier. Read how.
-
How to Connect to the Data Ecosystem
In this article, we explain where external data comes from, the key challenges, and how to connect and utilize it with data science solutions.
-
How Data and Analytics Leaders Can Avoid Roadblocks to Data Acquisition
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?
-
How SMBs Can Boost Their Bottom Line With External Data
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...
-
Data Scientists and Augmented Data Discovery: A Match Made in Heaven
Data science automation has historically focused on hyperparameter tuning and model optimization but now it’s time to see how new tools can empower data scientists to use more and better data.
-
It’s Official: Online Lenders Can No Longer Afford to Ignore Alternative Data
You don’t know what you don’t know, as the old saying goes. But in the age of Big Data, you simply can’t afford to shrug off "unknown unknowns".
-
Why You Need Data Catalogs, Not Databases
When it comes to external data for machine learning, data catalogs provide a handful of time-saving benefits over databases. Learn more.
-
5 Steps to Mine Hidden Gold Out of An External Data Source
Extracting gold from an external data source is all about data prep. Follow these five steps and you’ll be well on your way to creating golden enrichments.
-
The Complete Guide For Data Acquisition
This complete guide breaks down data acquisition into six steps, including data provider due diligence and data provider tests to uplift your model's accuracy.
-
AI Across the Funnel: The Use Cases You’re Missing Out On
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?
-
Loading More...