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Resources for data scientists and business leaders.
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How Can You Enhance Your Risk Models? Finding Better Signals to Feed Them
In this in-depth guide, we reveal the real reasons your machine learning risk models are falling short, what you can do to fix them — and exactly how to tackle the problem.
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6 Steps to Jumpstart Machine Learning Using the Resources You Already Have
ML has gone from buzzword to business necessity, and implementing it is quickly becoming mandatory. Here are 6 easy steps to follow to get going with the resources you have.
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Read the blogWhy 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.
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Read the blogWhere’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.
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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.
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Using External Data to Future-Proof Your Organization and Ensure Success Today and Tomorrow
If the current economic crisis has shown the business world anything, it’s that no amount of data analysis can prepare you for the event of having the financial market flipping upside down.
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Learn to turn the "art" of feature generation into a science.
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Read the blogCould Walter White and Marty Byrde Fool The Best Risk Models?
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.
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Mitigating Risk With External Data, A Guide For CROs
Your organization’s risk management strategies are going to need a major overhaul. Insights from your historical data simply won’t be enough to help you assess the risks that are coming your way.
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Read the blogWhy 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.
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Read the blogHow Our COVID-19 Signals Give Businesses Better Decision-Making Capabilities
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.
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Marketers and Data Science: Tapping Into The Data You Need to Build a Smarter Marketing Organization
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 blogWant to Get People Excited About Your Machine Learning Project? Tell Them a Story
Top tips to engage stakeholders at every stage of the data science project life cycle.
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Read the blogHow 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?
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Read the blogHow 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.
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Read the blogData Bias and What it Means for Your Machine Learning Models
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.
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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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3 Use Cases Risk and Fraud Leaders Must Implement Today
CROs need to upgrade their visibility, which requires looking outside their organizations for data. But, how can they be effective when collecting external data can take weeks or even months?
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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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Read the blogFraud Has a Bigger Impact in Crises – Can You Afford to Sleep on It?
During crises, risk takes on a whole new meaning, and assessing it becomes more important, but also much more complex.
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Read the blog4 Practical Ways Marketers Benefit From Data Science-as-a-Service
Marketers can't afford to waste time piecing together data for insights. Data science-as-a-service offloads this entire problem for better decisions.
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