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 200

Enterprise Big Data Data Quality Unstructured Data 200

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

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

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 197

Machine Learning Modeling Statistics IT 197

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 43

Machine Learning Big Data Risk Marketing 43

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 68

Analytics 68

Nutanix

SEPTEMBER 26, 2018

Enterprises increasingly run applications in a variety of different cloud environments—public, private, distributed, and hybrid cloud. With a mix of public and private clouds, enterprises now require services and tools that can work across private and public environments.

Enterprise 20

Enterprise Optimization 20

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 Analytics 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

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

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