O'Reilly on Data

SEPTEMBER 13, 2018

The O’Reilly Data Show Podcast: Alan Nichol on building a suite of open source tools for chatbot developers. In this episode of the Data Show , I spoke with Alan Nichol , co-founder and CTO of Rasa , a startup that builds open source tools to help developers and product teams build conversational applications. About 18 months ago, there was tremendous excitement and hype surrounding chatbots, and while things have quieted lately, companies and developers continue to refine and define tools for b

Machine Learning 205

Machine Learning Technology 205

Cloudera

SEPTEMBER 13, 2018

Machine learning. The very name suggests there’s little involvement required from actual people. It’s a bit surprising to note, then, that perhaps the most limiting factor in data science and machine learning today is people. People add complexity. People add the risk of error. And people add a lot of time. However, we’ll always need people to come up with the overarching prediction problems to solve and to make the ultimate choices to solve them, but there is a lot of data science work now that

Machine Learning 40

Machine Learning Enterprise Data Science Risk 40

O'Reilly on Data

SEPTEMBER 13, 2018

Ziya Ma discusses how recent innovations from Intel in high-capacity persistent memory and open source software are accelerating production-scale deployments. Continue reading Derive value from analytics and AI at scale.

Analytics 191

Analytics Software 191

Smarten

SEPTEMBER 13, 2018

Smarten Augmented Analytics supports Citizen Data Scientists with NLP, Self-Serve Data Prep, Smart Data Visualization, Assisted Predictive Modeling and more! You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

Analytics 40

Analytics Predictive Modeling Visualization Modeling 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

O'Reilly on Data

SEPTEMBER 13, 2018

Hilary Mason explores the current state of AI and ML and what’s coming next in applied ML. Continue reading Practical ML today and tomorrow.

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192

Smarten

SEPTEMBER 13, 2018

This short video demonstrates how macroeconomic data for different states like GDP, Population or rainfall can be connected to sales of cement. This demonstration can be used to visualize how you can use a correlation with your data and macroeconomic data for your planning. You can find other educational resources by browsing our Augmented Analytics Videos and Augmented Analytics Learning pages.

Sales 40

Sales Visualization Analytics 40

O'Reilly on Data

SEPTEMBER 13, 2018

Amber Case covers methods product designers and managers can use to improve interactions through an understanding of sound design. Continue reading Sound design and the future of experience.

Interactive 154

Interactive Management 154

O'Reilly on Data

SEPTEMBER 13, 2018

Jacob Ward reveals the relationship between the unconscious habits of our minds and the way that AI is poised to amplify them, alter them, maybe even reprogram them. Continue reading Black box: How AI will amplify the best and worst of humanity.

121

121

O'Reilly on Data

SEPTEMBER 13, 2018

Julia Angwin discusses what she's learned about forgiveness from her series of articles on algorithmic accountability and the lessons we all need to learn for the coming AI future. Continue reading Quantifying forgiveness.

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112

O'Reilly on Data

SEPTEMBER 13, 2018

Dinesh Nirmal explains how AI is helping supply school lunch and keep ahead of regulations. Continue reading Wait. pizza is a vegetable? Decoding regulations using machine learning.

Machine Learning 107

Machine Learning 107

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy

O'Reilly on Data

SEPTEMBER 13, 2018

Amanda Pustilnik highlights potential applications of data from new technologies that capture brain-based processes. Continue reading Brain-based human-machine interfaces: New developments, legal and ethical issues, and potential uses.

Technology 101

Technology 101

O'Reilly on Data

SEPTEMBER 13, 2018

Ben Sharma shares how the best organizations immunize themselves against the plague of static data and rigid process Continue reading The data imperative.

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