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How Cloud Computing is Helping to Solve 3 Problems on Everyone’s Mind Right Now: COVID-19 Spread, Pharmaceutical Safety, and School Bus Routing

n this special guest feature, Dr. Viral B. Shah, CEO of Julia Computing, offers 3 Julia language-based examples of the way that cloud computing is revolutionizing data science. Cloud computing allows organizations to access more and better computing power more easily and at lower cost.

insideBIGDATA Guide to How Data Analytics is Transforming Healthcare

This technology guide, “insideBIGDATA Guide to How Data Analytics is Transforming Healthcare,” sponsored by Dell Technologies, provides  an overview of some of the trends influencing big data in healthcare, the potential benefits, likely challenges, and recommended next steps.

insideBIGDATA Guide to Computer Aided Engineering

The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.

Balancing MLOps Innovation with Tough Security Standards

As AI adoption has grown, so too have concerns about data protection and infrastructure security across the MLOps lifecycle. At GTS Data Processing, a rapidly growing German IT company, security is top of mind as they deliver Infrastructure-as-a-Service and Software-as-a-Service platforms to companies across Europe. GTS’ DSready Cloud offering, powered by Domino® and hosted in Germany, brings together the tools, technologies, compute, and
collaboration capabilities its clients need to deliver and manage data science capabilities at scale—all within a GDPR-compliant environment that supports Germany’s stringent security
standards.

What Makes GPUs, GPU Databases Ideal for BI?

What makes GPU databases ideal for BI? That’s what a new white paper from SQream DB wants to explain — incorporating real-world use cases to explain how you can turn your existing BI pipeline into “a more capable, next-generation big data analytics system.” Download the new report, courtesy of SQream DB, to learn more about how GPUs and GPU databases can help you organize and benefit from your next big data analytics system.

Insurtech Data & Privacy in 2019

In this special guest feature, Jason T. Andrew, CEO and co-founder of Limelight Health, discusses how InsurTech is coming of age at just the right time to decide how to use Big Data in a way that protects startups from the pitfalls into which the large social media companies fell. He believes we have the opportunity to build the InsurTech industry as digitally transparent and ethically sound, even as we accept the inevitability that the curtain has been pulled back on our privacy as we imagined it. As we revolutionize the insurance industry, it’s all the more important that we lead the way in developing technologies that empower users and set the right safeguards for data protection between technology vendors and insurers.

Why Self-Service BI Tools Alone Can’t Build Data-Driven Cultures

In this special guest feature, Brett Hurt, CEO of data.world, suggests that while 99% of executives want a data-driven culture, it’s hard to build one. Enter the Chief Data Officer (CDO), tasked with capturing and growing the value of data and analysis within his or her enterprise. It’s not an easy job. True data-driven cultures aren’t built by buying expensive tools to empower the data elite. And while deploying self-service BI (business intelligence) tools is one important step in the right direction, the Chief Data Officer is on a journey.

Building a Data Catalog: A Guide to Planning & Implementing

Building and implementing a data catalog can help your enterprises’ data community discover and use the best data and analytics resources for their projects. A data catalog can help businesses achieve faster results, and make better decisions. As for the next steps to address the importance of data catalogs in your business, Data.world covers that, as well, in a new report.

A ‘Pre-Flight Checklist’ for Machine Learning Training Data

Machine learning is often key to success for today’s institutions that rely heavily on data for success. But often, data science teams can have a difficult time convincing their organizations of the breadth and size of a training data challenge. A new report from Alegion walks through a checklist to review before helping your enterprise take the next step in machine learning.

Alegion Outlines the 4 Most Prevalent Types of AI Bias

AI systems are becoming more and more of the norm as machine and deep learning gain grown — especially within the data center and colocation markets. That said, Artificial Intelligence systems are only as good as their underlying mathematics and the data they are trained on. Download a new report from Alegion to further understand the bias behind machine learning and how to avoid four potential pitfalls.