Sat.Sep 22, 2018 - Fri.Sep 28, 2018

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Why it’s hard to design fair machine learning models

O'Reilly on Data

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.

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Every Company Is a Data Company

Bruno Aziza

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
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How Data Integration and Machine Learning Improve Retention Marketing

Business Over Broadway

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.

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Win with AI: The journey to AI starts with collecting data

IBM Big Data Hub

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.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Cloudera spotlights partner success at Strata Data with Partner Impact Awards

Cloudera

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.

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Predictive Analysis Isn’t Just for Data Scientists!

Smarten

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.

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Win with AI: IBM Cloud Private for Data stacks up for success

IBM Big Data Hub

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.

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Take Customer Experience Back to the Future with Data

Cloudera

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?

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Self-Service Data Prep for Every Business User!

Smarten

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.

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Handling real-time data operations in the enterprise

O'Reilly on Data

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.

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Advanced Analytics and Natural Language Processing!

Smarten

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