Data Science & AI

Data Science & AI

Why Human-Interpretable Models Are A Myth (And That’s Totally Okay)

Jay Budzik

November 16, 2021

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Data Science & AI

Listen: MIT Tech Review's Podcast Looks At How AI Can Fix Credit

Zest AI team

May 12, 2021

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Data Science & AI

From A To Zest AI: A Glossary Of Machine Learning and Credit Underwriting Terms

Zest AI team

April 20, 2021

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Data Science & AI

How Stronger Math Can Improve Consumer Credit Outcomes

Teddy Flo

January 4, 2021

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Data Science & AI

Why AI Transparency is so Important

Jay Budzik

April 23, 2020

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Data Science & AI

How To Tell If An AI Startup's AI Is Bogus

Jay Budzik

April 7, 2020

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Data Science & AI

Why Transparent AI Is More Important Now Than Ever

Zest AI team

April 3, 2020

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Data Science & AI

Why Criticism Of Machine Learning Is Suspect

Zest AI team

March 28, 2020

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Data Science & AI

Introducing GIG: A Practical Method for Explaining Diverse Ensemble Machine Learning Models

Jay Budzik

January 16, 2020

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Data Science & AI

The Ball Is Finally Moving On AI Explainabilty

Zest AI team

December 9, 2019

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Data Science & AI

Many Heads Are Better Than One: Making The Case For Ensemble Learning

Jay Budzik

September 16, 2019

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Data Science & AI

CIOs Can Remove Roadblocks To Adopting ML: Here’s How

Zest AI team

August 29, 2019

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Data Science & AI

Alternative Data Is Dead, Long Live Inclusive Data

Zest AI team

July 25, 2019

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Data Science & AI

Clarifying Why SHAP Shouldn't Be Used Alone

Jay Budzik

June 28, 2019

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Data Science & AI

Why Not Just Use SHAP?

Jay Budzik

May 30, 2019

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Data Science & AI

Why Lenders Shouldn't 'Just Use SHAP' To Explain Machine Learning Credit Models

Jay Budzik

May 30, 2019

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Data Science & AI

What You Get When You Get Zest Explainability

Bruce Upbin

March 26, 2019

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Data Science & AI

Separating AI Hype From Reality

Bruce Upbin

March 12, 2019

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Data Science & AI

Why ZAML Makes Your ML Platform Better

Zest AI team

March 6, 2019

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Data Science & AI

Talking Explainable AI: Zest's CTO On The AI At Work Podcast

Zest AI team

February 20, 2019

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Data Science & AI

Five Questions To Ask Your AI Vendor About Explainability

Zest AI team

February 11, 2019

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Data Science & AI

Machine Learning And Data: You Have Questions, We Have Answers

Jay Budzik

January 28, 2019

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Data Science & AI

Most AI Explainability Is Snake Oil. Ours Isn’t And Here’s Why

Jay Budzik

December 15, 2018

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Data Science & AI

Don’t Let Data Issues Stop You From Switching To Machine Learning

Bruce Upbin

September 25, 2018

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Data Science & AI

What You Don't Get With a World Class Modeling Tool

Zest AI team

May 7, 2018

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Data Science & AI

The Real World of Predictive Modeling: Best Practices for the New Data Scientist

Zest AI team

April 16, 2018

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Data Science & AI

Explainable Machine Learning in Credit

Jay Budzik

March 13, 2018

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Data Science & AI

3 Tips to Consider Before Using Alternative Data in Underwriting

Jay Budzik

March 13, 2018

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Data Science & AI

6 Methods for Dealing with Missing Data

Zest AI team

March 5, 2018

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Data Science & AI

ZestFinance Introduces Big Data Model for Collections Scoring

Zest AI team

February 4, 2014

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Data Science & AI

Why Human-Interpretable Models Are A Myth (And That’s Totally Okay)

Listen: MIT Tech Review's Podcast Looks At How AI Can Fix Credit

From A To Zest AI: A Glossary Of Machine Learning and Credit Underwriting Terms

How Stronger Math Can Improve Consumer Credit Outcomes

Why AI Transparency is so Important

How To Tell If An AI Startup's AI Is Bogus

Why Transparent AI Is More Important Now Than Ever

Why Criticism Of Machine Learning Is Suspect

Introducing GIG: A Practical Method for Explaining Diverse Ensemble Machine Learning Models

The Ball Is Finally Moving On AI Explainabilty

Many Heads Are Better Than One: Making The Case For Ensemble Learning

CIOs Can Remove Roadblocks To Adopting ML: Here’s How

Alternative Data Is Dead, Long Live Inclusive Data

Clarifying Why SHAP Shouldn't Be Used Alone

Why Not Just Use SHAP?

Why Lenders Shouldn't 'Just Use SHAP' To Explain Machine Learning Credit Models

What You Get When You Get Zest Explainability

Separating AI Hype From Reality

Why ZAML Makes Your ML Platform Better

Talking Explainable AI: Zest's CTO On The AI At Work Podcast

Five Questions To Ask Your AI Vendor About Explainability

Machine Learning And Data: You Have Questions, We Have Answers

Most AI Explainability Is Snake Oil. Ours Isn’t And Here’s Why

Don’t Let Data Issues Stop You From Switching To Machine Learning

What You Don't Get With a World Class Modeling Tool

The Real World of Predictive Modeling: Best Practices for the New Data Scientist

Explainable Machine Learning in Credit

3 Tips to Consider Before Using Alternative Data in Underwriting

6 Methods for Dealing with Missing Data

ZestFinance Introduces Big Data Model for Collections Scoring

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