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Resources for data scientists and business leaders.
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Marketers and COVID-19: Tapping Into The Data You Need to Steer The Ship in Uncertain Times
In these increasingly uncertain times, marketing leaders who start thinking data science-driven will not only stay ahead of the pack but also keep their organizations afloat.
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Read the blogCOVID-19 Broke Your Risk Models. This is How External Data Can Fix Them.
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.
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Read the blogTomorrow Comes Today – Using External Data to Cut Through the Unpredictability of Crises
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 –
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1:03Watch videoExplorium: Product Overview
Explorium is the future of data science. We enable you to automatically connect to thousands of data sources, distill the best features, and deploy the best models.
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COVID-19 Reset: 3 Critical Use Cases That Marketing Leaders Must Implement Today
The business landscape is rapidly changing, driven by shifting preferences and trends, and largely by the current crisis. How can marketers find the data they need to understand this new reality?
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Explorium for Business
No other platform does it all: automatically join your data with a broad range of datasets, extract and select the best set of features, and build production-ready models.
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Learn to turn the "art" of feature generation into a science.
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AI is Making BI Obsolete, and Machine Learning is Leading the Way
Why are we still hung up on BI? It’s time to embrace a paradigm that empowers us to make smarter, better predictions using real data with machine learning.
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Read the blogHow 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...
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19:15Watch videoData Science Salon 2020 - The Next Frontier of Data Science: Automated Feature Generation
Dedy Kredo, Head of Customer Facing Data Science at Explorium, presents about augmented data and feature discovery at Data Science Salon Austin.
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Read the blogUnderstanding 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 data and concept drift and avoid it? Read more.
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The Essential Guide to Feature Selection
Feature selection is a key step in building powerful and interpretable machine learning models, but it’s also one of the easiest to get wrong.
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Read the blog5 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.
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Feature Generation: The Next Frontier of Data Science
It's time to take feature generation - a subset of feature engineering - from an art to a science by opening up additional data sources to achieve breakthroughs in predictive models.
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Read the blogSupport and Coverage – Data Integration Metrics You Should Know
Data enrichment is a crucial step in the modeling process that data scientists tend to overlook due to the difficulty in finding and utilizing external sources.
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How Data Scientists Can Get a Seat at the Strategy Table
How can you earn yourself a seat at the table when decisions are being made? It starts with making yourself accessible and invaluable. Read how you can get started now.
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Read the blogHow Much For The Set? How You Can Monetize Your Datasets
Data science websites overflow with tips for organizing and handling your data. The question is, how can you take this clean data and monetize it?
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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.
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Read the blogIt’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".
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Read the blogStay Inside The Lines: Coloring With Artificial Intelligence
Can you teach AI to color better than a human? Using a generative adversarial network we can certainly try.
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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.
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