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Resources for data scientists and business leaders.

  • Explorium Announces $31M in Series B Funding to Accelerate Growth

    Explorium Announces $31M in Series B Funding to Accelerate Growth

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

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  • What Is Augmented Data Discovery with Explorium?

    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...

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  • Top Tips for Data Preparation Using Python

    Top Tips for Data Preparation Using Python

    Your machine learning model is only as good as the data you feed into it. That makes data preparation (or cleaning, wrangling, cleansing, pre-processing, or any The post Top Tips for Data...

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  • Taking Control of Your Data: An Essential Guide for Marketers

    Taking Control of Your Data: An Essential Guide for Marketers

    How can marketers leverage all their data for better predictive insights? It’s all about knowing what you need, how it can help, and the right platforms and tools that can help achieve your goals.

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  • Where's the Weakest Link? Understanding Risk in Supply Networks

    Where's the Weakest Link? Understanding Risk in Supply Networks

    In our interconnected, globalized world, it’s harder and harder to track the weak spots in your supply chain. That’s why we created this handy guide to understanding and mitigating supply chain risk.

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  • Turning Data from a Cost Center into an Asset

    Turning Data from a Cost Center into an Asset

    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...

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  • Start Small and Scale Smart: Do You Need a Data Science Team, Platform, or Service?

    Start Small and Scale Smart: Do You Need a Data Science Team, Platform, or Service?

    There’s no one way to start using data science. This guide walks you through the pros and cons of each approach and discusses how to allocate your budget efficiently.

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  • Could Machine Learning Help Tom Haverford Save Entertainment 720?

    Could Machine Learning Help Tom Haverford Save Entertainment 720?

    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.

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  • Domain Knowledge in Data Science: Are Your Models Ready for Business?

    Domain Knowledge in Data Science: Are Your Models Ready for Business?

    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.

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  • How Will Data Privacy Look in The Future?

    How Will Data Privacy Look in The Future?

    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.

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  • How To Communicate Your Marketing Questions for Data Scientists

    How To Communicate Your Marketing Questions for Data Scientists

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

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  • How to Deploy and Future-Proof Your Models: From Theory to Production

    How to Deploy and Future-Proof Your Models: From Theory to Production

    It’s no secret that while most organizations understand the importance of machine learning, most initiatives never make it off the ground. Follow this guide to guarantee you make it to production.

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  • Could ML-Powered Risk Models Really Spot OZARK’s Schemes?

    Could ML-Powered Risk Models Really Spot OZARK’s Schemes?

    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?

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  • Reframing the Connection Between Data Science and Automation

    Reframing the Connection Between Data Science and Automation

    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.

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  • What Happens When The Definition of Risk Changes?

    What Happens When The Definition of Risk Changes?

    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...

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  • Asking the Right Questions: How Machine Learning Improves Your Insights

    Asking the Right Questions: How Machine Learning Improves Your Insights

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

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  • How to Navigate the New Data Science and Machine Learning Landscape

    How to Navigate the New Data Science and Machine Learning Landscape

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

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  • How Can You Enhance Your Risk Models? Finding Better Signals to Feed Them

    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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  • The Three Skills You Need to Instill in Your Data Science Team

    The Three Skills You Need to Instill in Your Data Science Team

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

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  • 6 Steps to Jumpstart Machine Learning Using the Resources You Already Have

    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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