Remove Engineering Management Remove Machine Learning Remove Metrics
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CoRise’s approach to up-skilling involves fewer courses and more access

TechCrunch

The startup, built by Stiglitz, Sourabh Bajaj , and Jacob Samuelson , pairs students who want to learn and improve on highly technical skills, such as devops or data science, with experts. Instead, the startup wants to offer one applied machine learning course that teaches 1,000 or 5,000 students at a time.

Course 180
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Bringing an AI Product to Market

O'Reilly Media - Ideas

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 145
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What are model governance and model operations?

O'Reilly Media - Ideas

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries. Why aren’t traditional software tools sufficient?

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Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning - AI

The solution is extensible, uses AWS AI and machine learning (ML) services, and integrates with multiple channels such as voice, web, and text (SMS). With prompt engineering, managed RAG workflows, and access to multiple FMs, you can provide your customers rich, human agent-like experiences with precise answers.

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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. Thursday?—?December

AWS 15
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5 Takeaways from the 2022 Gartner® Data & Analytics Summit, Orlando, Florida

DataRobot

That’s why DataRobot University offers courses not only on machine learning and data science but also on problem solving, use case framing, and driving business outcomes. And lastly, engineers managing IT or production environments find it simple to connect the DataRobot AI Cloud platform to other tools.

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Introducing CDP Data Engineering: Purpose Built Tooling For Accelerating Data Pipelines

Cloudera

A Technical Look at CDP Data Engineering. Managed, Serverless Spark. DE empowers the data engineer by centralizing all these disparate sources of data — run times, logs, configurations, performance metrics — to provide a single pane of glass and operationalize their data pipeline at scale.