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Interview: Rafael Irizarry, Professor of Biostatistics at Harvard University

I recently caught up with Rafael (Rafa) Irizarry, Professor of Biostatistics with the T.H. Chan School of Public Health at Harvard University to hear his unique perspective as an edX instructor regarding the rising demand for data scientists across most industries.

Dremio Releases Major Update of Data-as-a-Service Platform

Dremio, the Data-as-a-Service Platform company, announced a major release of its open source platform that includes a collaborative data catalog; along with new controls for multi-tenant deployments, end-to-end data encryption, and a breakthrough in performance and efficiency through the Gandiva Initiative for Apache Arrow. These new features support data initiatives by providing shorter lead times, lower operational costs, greater security and governance, and more self-service to a broader range of roles.

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.

Wind Energy Data? … Hack It!

In this contributed article, Emilien Simonot, Renewable Energies Technology Officer for InnoEnergy, discusses how the wind industry has a long history of innovation, yet rather than having reached its peak, innovation is needed now more than ever. Exploiting data, and building digitalisation into the wind industry’s very business models and technical specifications are key to continued innovation. This article explores the road ahead seeking to understand how data will tie technical and business model innovation together and uses examples of how wind businesses could better connect with customers, improve and innovate new business models, and build bigger and better plants.

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. Some of the findings include: 89% of data scientists […]

Domino Data Lab Announces Domino 3.0 to Power Model-Driven Organizations

Domino Data Lab, provider of an open data science platform, announced Domino 3.0 featuring Domino Launchpad, a module designed to help companies maximize the impact of their data science investments by addressing the operational challenges and bottlenecks they face getting models into production.

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 […]

The insideBIGDATA IMPACT 50 List for Q4 2018

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

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.

Oracle and NVIDIA Bring the Power of the Cloud to the Next Generation of Analytics, Machine Learning and AI

Oracle (NYSE:ORCL) and NVIDIA (NASDAQ: NVDA) today announced that Oracle is the first public cloud provider to support the NVIDIA HGX-2TM platform on Oracle Cloud Infrastructure, to meet the needs of the next generation of analytics, machine learning and AI.