O'Reilly on Data

SEPTEMBER 27, 2018

The O’Reilly Data Show Podcast: Sharad Goel and Sam Corbett-Davies on the limitations of popular mathematical formalizations of fairness. In this episode of the Data Show , I spoke with Sharad Goel , assistant professor at Stanford, and his student Sam Corbett-Davies. They recently wrote a survey paper, “A Critical Review of Fair Machine Learning,” where they carefully examined the standard statistical tools used to check for fairness in machine learning models.

Machine Learning 195

Machine Learning Modeling Statistics IT 195

Bruno Aziza

SEPTEMBER 26, 2018

Every company is a data company. Whether they know it or not. So argue Jedidiah Yueh and Randy Bean in this provocative look at the corporate landscape. The authors argue that data companies will reinvent the world.

IT 80

IT 80

Business Over Broadway

SEPTEMBER 27, 2018

Retention marketing is about preventing your valuable customers from churning. Reducing customer churn requires you to know two things: 1) which customers are about to churn and 2) which remedies will keep them from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

IBM Big Data Hub

SEPTEMBER 25, 2018

Scott Hebner, VP, Marketing, IBM Analytics & AI, spoke with Dave Vellante in NYC on the eve of the September 13 taping of the Win with AI digital broadcast.

Broadcasting 75

Broadcasting Marketing Analytics 75

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

Cloudera

SEPTEMBER 25, 2018

At Strata Data , it appeared that artificial intelligence, machine learning, and the promise of game-changing insights from big data were at the forefront of everyone’s mind. Cloudera aimed to demystify the “how” in the AI and big data equation at Strata Data through helpful sessions, anticipated keynotes, and new product announcements to alleviate the mystery associated with leveraging this revolutionary technology.

Machine Learning 44

Machine Learning Big Data Risk Marketing 44

Smarten

SEPTEMBER 26, 2018

How Can My Business Use Assisted Predictive Modeling to Optimize Resources? There was a time, not so long ago, when predictive analysis, business forecasting and planning for results involved guesswork and lots of unscientific review of historical data. But, today’s competitive business landscape and rapidly moving markets demand more than guesswork.

Predictive Modeling 40

Predictive Modeling Predictive Analytics Forecasting Optimization 40

IBM Big Data Hub

SEPTEMBER 27, 2018

Daniel Hernandez, VP, IBM Analytics, shares news about IBM's Hortonworks partnership and why OpenShift, IBM Cloud Private, and IBM Cloud Private for Data are gaining momentum.

Analytics 69

Analytics 69

Cloudera

SEPTEMBER 27, 2018

Delivering a positive and memorable customer experience is the cornerstone of nearly every organization. Failure to do so negatively impacts a company’s bottom line and reputation. Each year, companies invest millions of dollars in programs and solutions that aim to improve the customer experience and provide valuable customer insights, but what if for the answer, they only had to look back to the future?

Interactive 40

Interactive Machine Learning Management Technology 40

Smarten

SEPTEMBER 24, 2018

Augmented Data Preparation for Business Users Offers Many Benefits! If your enterprise is entangled in complex data preparation and manipulation, and you want to simplify and expand the use of data preparation to leverage data integration and self-service data prep, you need to explore the potential of augmented data preparation. Data extraction, transformation and loading (ETL) can be a complex, time-consuming process, but self-serve data prep is ETL for business users.

Machine Learning 40

Machine Learning Visualization Testing Data Integration 40

O'Reilly on Data

SEPTEMBER 24, 2018

Getting DataOps right is crucial to your late-stage big data projects. At Strata 2017 , I premiered a new diagram to help teams understand why teams fail and when: Early on in projects, management and developers are responsible for the success of a project. As the project matures, the operations team is jointly responsible for the success. I've taught in situations where the operations team members complain that no one wants to do the operational side of things.

Enterprise 198

Enterprise Big Data Data Quality Unstructured Data 198

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Smarten

SEPTEMBER 28, 2018

Search Analytics is Not Rocket Science Anymore! No business, large or small, can afford to employ the services of dozens of data scientists or professional analysts. Budgets are tight and there are so many places we need to spend our money to help the business success and grow. Business users and executives are used to the tools they see every day when they search the internet and it would be great to give them the same type of tools so they could search for and analyze data within the data stru

Analytics 40

Analytics ROI Machine Learning Sales 40