Explorium Blog

  • A Brief Introduction to Predictive Model Deployment

    A Brief Introduction to Predictive Model Deployment

    In this blog post, we share our top tips for effective predictive model deployment from training and testing to keeping your ML models fresh.

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  • 2021 Will Be an Inflection Point for Data Science and Fintech

    2021 Will Be an Inflection Point for Data Science and Fintech

    Fintech is growing, but it will need to embrace data science and alternative data to get ahead. Explorium's Dedy Kredo breaks down why. The post 2021 Will Be an Inflection Point for...

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  • ECommerce is Pushing Forward in 2021, and ML is The Way

    ECommerce is Pushing Forward in 2021, and ML is The Way

    Join Gali Michaeli, Explorium's Head of Customer Success for EMEA, as she explores what's in store for eCommerce and Data science in 2021. The post ECommerce is...

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  • What is Feature Engineering?

    What is Feature Engineering?

    What is feature engineering, and why should you automate it? In this blog post, we answer these questions and more.

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  • Best of the Best: Our Top 10 Blog Posts of 2020

    Best of the Best: Our Top 10 Blog Posts of 2020

    Before we turn the page on 2020, let’s look back at our top ten blogs of the year that was.

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  • Looking Back and Predicting 2021: Q&A With Shai Yanovski

    Looking Back and Predicting 2021: Q&A With Shai Yanovski

    Shai Yanovski, Explorium’s VP of Data and Data Science, walks us through the year that was, his biggest surprises, and what he sees for machine learning and data science heading into 2021.

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  • The Data Science Buzzwords and Acronyms That Defined 2020

    The Data Science Buzzwords and Acronyms That Defined 2020

    In the spirit of the new year, let’s take a look back at all the acronyms, buzzwords, and terms that dominated data science in 2020.

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  • How Data Science Evolved in 2020: Q&A With Jon Shepherd

    How Data Science Evolved in 2020: Q&A With Jon Shepherd

    In this Q&A with our VP of Enterprise Sales, Jon Shepherd, we break down all of data science trends from 2020 and how they'll impact businesses in 2021.

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  • The Need for Better External Data Discovery in 2021

    The Need for Better External Data Discovery in 2021

    Read what our CEO, Maor Shlomo, learned in 2020 and why he believes that 2021 will be the ear external data discovery takes center stage.

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  • Explorium and Nova Consulting Partner to Power Business Decisions Through Data Science-Driven Consulting

    Explorium and Nova Consulting Partner to Power Business Decisions Through Data Science-Driven Consulting

    Explorium’s data science platform automatically discovers data that drives predictive models for Nova’s strategic advice, insights, and activation.

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  • How to Approach Data Preparation Using Python

    How to Approach Data Preparation Using Python

    In this blog post, we share top tips for approaching data preparation using Python, focusing on cleaning and ETL.

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  • Explorium Achieves Advanced Technology Partner Status in Amazon Web Services Partner Network

    Explorium Achieves Advanced Technology Partner Status in Amazon Web Services Partner Network

    Explorium empowers data scientists and business leaders to improve data-driven decisions with automated data discovery for machine learning on AWS.

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  • Should You Use ML To Predict Small Business Default Risk?

    Should You Use ML To Predict Small Business Default Risk?

    In this blog post, we explain how lenders can use machine learning to build more accurate, reliable, cost-effective risk models.

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  • How To Include Data Science Platforms in Your 2021 Budget

    How To Include Data Science Platforms in Your 2021 Budget

    In this article, we explain how to know if you need a data science platform, how to approach questions of costs and savings, and what to consider when calculating your TCO.

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  • ML Initiatives Aren’t Doomed To Fail — If You Build Them Right

    ML Initiatives Aren’t Doomed To Fail — If You Build Them Right

    Not to sound alarmist or anything, but machine learning (ML) initiatives can be risky. Follow these tips to make sure your ML projects stand the test of time.

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  • Is Your Marketing Machine Ready for Black Friday and Cyber Monday? ML Can Help

    Is Your Marketing Machine Ready for Black Friday and Cyber Monday? ML Can Help

    In this blog post, we reveal how to use ML and data to seize sales opportunities over Thanksgiving weekend.

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  • How Explorium Upgrades Your Data Pipeline

    How Explorium Upgrades Your Data Pipeline

    Building a sustainable data pipeline is critical to accurate machine learning models. Learn how Explorium supports you at every point in the process.

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  • Without Data, There’s No ML — Why You Should Focus on Data First

    Without Data, There’s No ML — Why You Should Focus on Data First

    It’s easy to get caught up in a rush to start building your ML models. But, before you actually build them, you need to understand your goals and how to achieve them. That process begins with data.

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  • Data Science v Data Analytics — What’s the Difference, and Do You Need Both?

    Data Science v Data Analytics — What’s the Difference, and Do You Need Both?

    Let’s break down data science v data analytics, and see why you need both for better insights.

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  • Direct Mail Isn’t Dead – Here’s How Explorium Can Help You Make it Work

    Direct Mail Isn’t Dead – Here’s How Explorium Can Help You Make it Work

    Cutting through the digital noise with direct mail is a great opportunity. But figuring out the right target can feel like finding a needle in a haystack. Learn how Explorium streamlines the process.

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