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The Hidden Costs of Bad Data

In this contributed article, Arvind J. Singh, CEO, Chairman, and Co-Founder of Utopia, Inc., looks at how data continues to be the basis of many top decisions made by every business. By learning by the mistakes other have made in the past, we can help bad data from having a costly impact in the future.

5 Digital Intelligence Rules in the Age of Insights

In this special guest feature, Dan Schoenbaum, CEO at Cooladata, outlines the 5 digital intelligence rules needed to guide you through the Age of Insights.

The Power of Prescriptive and Predictive Analytics

In this special guest feature, Ty Tucker, CEO of REV, discusses predictive and prescriptive analytics, and how they can be used in tandem to achieve the best results for a business.

From Data Lake Curator to Data Lake Master: Best Practices for Making the Most of Your Data Lake

I recently caught up with Jennifer Cheplick, Sr. Director of Product Marketing at Syncsort, to discuss how the concept of a data lake is now commonplace, as businesses realize the value of having a single repository to house all enterprise data in its original, unaltered format. While this is a vital step in mastering a single view of all data assets, left unchecked, it can turn into a data swamp.

How Machine Learning Will Impact MDM

In this special guest feature, Christophe Marcant, Senior VP for Strategy & Communication for Stibo Systems, explains how there is great opportunity to leverage machine learning (ML) to adapt data from a source to a consumer faster. So, rather than focusing on enforcing format and meaning to facilitate exchanges, ML will enable organizations to discover patterns in data, propose associations, correlations, and adaptation.

Data as a Critical Element in the Discovery and Delivery of Smart Energy

In this contributed article, Jules S. Damji, an Apache Spark Community Evangelist with Databricks, shows how as the value of data continues to grow, the next-generation smart grid should become a reality, benefiting utility companies and consumers alike.

Machine Learning Tools You Should Know About

In this contributed article, tech writer Linda Gimmeson goes over a short list of the most popular developer tools for machine learning practitioners including Amazon Machine Learning, Tensor Flow, Azure Machine Learning Studio, H20, Caffe, MLlib, and Torch.

Use Data to Level the Diversity Playing Field

In this special guest feature, Jen Grant, CMO of Looker, makes the observation that if you’re talking diversity in business, you have to speak data. Percentages of the workforce that are women, people of color, gay, transgender – these are the metrics that businesses are measured against, and leaders often talk up their numbers when they compare favorably to peers.

Building a Better AI Brain with Object Storage

In this special guest feature, Michael Tso, CEO of Cloudian, discusses how AI is rapidly changing the business world, and for AI to deliver business value, the storage industry will play a key role – scale-out object storage with full S3 compatibility matches this role perfectly.

Interview: Anusua Trivedi, Data Scientist on Microsoft’s Advanced Data Science & Strategic Initiatives Team

In this podcast interview, I caught up with Anusua Trivedi, a Data Scientist on Microsoft’s ADS team, to get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.