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Propensity Model: How to Predict Customer Behavior Using Machine Learning

Altexsoft

To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies. This post is going to shed light on propensity modeling and the role of machine learning in making it an efficient predictive tool. What is a propensity model?

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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. The insurance industry is notoriously bad at customer experience. Not in China though.

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Supporting Diverse ML Systems at Netflix

Netflix Tech

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90
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What you need to know about product management for AI

O'Reilly Media - Ideas

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Why AI software development is different.

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AI Product Management After Deployment

O'Reilly Media - Ideas

Similarly, in “ Building Machine Learning Powered Applications: Going from Idea to Product ,” Emmanuel Ameisen states: “Indeed, exposing a model to users in production comes with a set of challenges that mirrors the ones that come with debugging a model.”. The field of AI product management continues to gain momentum.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

A deep dive into model interpretation as a theoretical concept and a high-level overview of Skater. Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems.

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Glass rethinks the smartphone camera through an old-school cinema lens

TechCrunch

Smartphone cameras have gotten quite good, but it’s getting harder and harder to improve them because we’ve pretty much reached the limit of what’s possible in the space of a cubic centimeter. It may not be obvious that cameras won’t get better, since we’ve seen such advances in recent generations of phones.

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