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Bandit ML helps e-commerce businesses present the most effective offer to each shopper

TechCrunch

Conti (who founded the company with Lionel Vital and Joseph Gilley) is a former Uber software engineer and researcher himself. Conti said the platform has been used to send millions of dollars’ worth of promotions since July, with one clothing company seeing a 20% increase in net revenue. It also raised a $1.32

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Propensity Model: How to Predict Customer Behavior Using Machine Learning

Altexsoft

It’s a common practice for companies and their marketing teams to try guessing how likely certain groups of customers are going to act under certain circumstances. To help companies unlock the full potential of personalized marketing, propensity models should use the power of machine learning technologies.

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

Altexsoft

To compete, insurance companies revolutionize the industry using AI, IoT, and big data. Customer satisfaction score (CSAT) and Net Promoter Score (NPS) are the most important metrics for any insurance company. Why do insurance companies struggle with digitization and automation in the first place? Not in China though.

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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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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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3 Reasons You Should Add AIOps to Your Tooling Arsenal

OverOps

AIOps, at its core, is a data-driven practice of bridging resources and leveraging AI and machine learning to make predictions based on historical data. Machine learning and artificial intelligence are complex concepts. AIOps seems to be all the rage these days, and it’s not hard to figure out why. Let’s do it.

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Automating the Automators: Shift Change in the Robot Factory

O'Reilly Media - Ideas

” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. .” ” I, thankfully, learned this early in my career, at a time when I could still refer to myself as a software developer. What would you say is the job of a software developer? Pretty simple.