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Choosing the Right Data Catalog for Your Business

The decision to invest in and launch a data catalog is a big one for today’s businesses, but one that more and more companies are making in light of the continued growth and expansion of big data. In fact, the self-service data analytic journey often first begins with a data catalog. Unifi Software explores how to choose whether a data catalog is right for your business and key considerations when deciding on a solution.

Use Case Highlights Potential Value & Benefits of Data Cataloging

The value and benefits of a data catalog are often described as the ability for analysts to find the data they need quickly and efficiently. Data cataloging accelerates analysis by minimizing the time and effort that analysts spend finding and preparing data. A new report from Unifi Software offers a fresh perspective on data cataloging and offers an analysis use case that illustrates ROI for implementing a data catalog.

insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning

With AI and DL, storage is cornerstone to handling the deluge of data constantly generated in today’s hyperconnected world. It is a vehicle that captures and shares data to create business value. In this technology guide, insideBIGDATA Guide to Data Platforms for Artificial Intelligence and Deep Learning, we’ll see how current implementations for AI and DL applications can be deployed using new storage architectures and protocols specifically designed to deliver data with high-throughput, low-latency and maximum concurrency.

New MIT Study: Big Data Disproportionately Benefits Large Companies

Across the corporate world, small companies are struggling and large ones are thriving. Over the last three decades, the annual rate of new startups has fallen from 13% to less than 8%. Meanwhile, the revenue share of the top 5% of businesses has increased 10 percentage points since the 1980s. What accounts for this discrepancy? One possible explanation, according to a new study by MIT Sloan School of Management is rooted in the growth of Big Data.

Data Scientist Report 2018

Figure Eight’s Annual Data Scientist Report is now available. Figure Eight (formerly Crowdflower) has been taking the pulse of the data science community since 2015, and this year’s report focuses on both data scientists’ careers and compares their thoughts on AI with those of ethics professionals.

Introduction to Statistical Analysis and Outlier Detection Methods

Our friends over at Noah Data have written a research style paper, “Introduction to Statistical Analysis and Outlier Detection Methods,” that discusses how statistical data can generally be classified in terms of number of variables as Univariate, Bivariate or Multivariate. Univariate data has only one variable, Bivariate data has two variables and Multivariate data has more than two variables.

Report: An In-Depth Look at Big Data Trends and Challenges

Our friends over at Qubole announced the results of its “2018 Big Data Trends and Challenges” report — an annual, global survey of IT and data professionals on the trends, challenges, and solutions of big data and machine learning initiatives across the enterprise. The survey found that the value achieved from big data in on-premises environments has significantly lagged behind expectations, and as a result, companies are rapidly shifting to the cloud for applications centered around machine learning (ML), and analytics.

New Research Uncovers $500 Million Enterprise Value Opportunity with Data Literacy

According to a major academic study commissioned by Qlik®, on behalf of the newly launched Data Literacy Project, large enterprises that have higher corporate data literacy experience $320-$534 million in higher enterprise value (the total market value of the business). Corporate data literacy is the ability of a company workforce to read, analyze, utilize for decisions and communicate data throughout the organization.

Interview: Vinod Bakthavachalam, Data Scientist at Coursera

I recently caught up with Vinod Bakthavachalam, Data Scientist at Coursera, to discuss how to build in-demand skills in data science such as machine learning, statistics, and data management across your organization to drive competitive advantage. Coursera for Business provides companies with the world’s best learning experience and best content to transform their talent.

How an AI-Driven Approach can ‘Free Creativity’

This insideHPC guide series explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post explores how an AI-driven approach can help “free creativity” in these sectors, and offers options for tech communities to assist you on your AI journey.