Remove Artificial Inteligence Remove Data Engineering Remove Metrics Remove Off-The-Shelf
article thumbnail

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
article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

article thumbnail

What Do CIOs Have To Know About Business Intelligence?

The Accidental Successful CIO

These BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps designed to provide users with detailed intelligence about the state of the business. Understanding Business Intelligence vs. Business Analytics. Implementing Self-service Business Intelligence.

article thumbnail

Netflix at AWS re:Invent 2019

Netflix Tech

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Wednesday?—?December

AWS 40
article thumbnail

Netflix at AWS re:Invent 2019

Netflix Tech

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Wednesday?—?December

AWS 40
article thumbnail

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.