Mon.Mar 04, 2019

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HyperIntelligence™ & Microstrategy World 2019

David Menninger's Analyst Perspectives

MicroStrategy recently held their annual user conference, MicroStrategy World 2019. This year's conference brought 2,100 customer attendees plus partners to the Phoenix Convention Center in Phoenix, AZ. The big news of the event was the introduction of MicroStrategy HyperIntelligence™, a platform tool designed to directly inject analytics into business applications.

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Help for Academic Programs in Data Science

Data Science 101

Brandon Rohrer (along with others ) created an excellent resource for academic programs, Industry recommendations for academic data science programs. The resource is authored by a number of industry data scientists and university faculty. It is collection of useful information for college data science programs. Here are some of the topics: What do Industry data scientists do?

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From Machine Learning to Business Learning

Decision Management Solutions

Machine learning is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on models and inference instead. It is seen as a subset of artificial intelligence. — Wikipedia. Machine Learning is increasingly widely used to make predictions.

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Training a Champion: Building Deep Neural Nets for Big Data Analytics

Sisense

The world of data is now the world of Big Data. The genie is out of the bottle and there’s no going back. We produce more and more data every day and the datasets being generated are getting more and more complex. Traditionally, the way to handle this has been to scale up computing resources to handle these bigger datasets. That’s not feasible for the long term on a global scale, nor is it tenable in the near term for smaller organizations who may have limited resources to deal with their analyt

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Avoiding Human Error When Building Artificial Intelligence

DataRobot

Can You Trust That Your AI Was Built Correctly? It has been more than three years since the last time I competed in a data science competition, and yet there’s one memory about that competition that remains vivid in my mind. I had spent a busy week at my computer coding up a cool-looking solution, and I was ready to submit my first entry to the competition.

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Is Your Data Scientist Team Contributing to Your Company’s ROI?

Teradata

Find out how data scientists can contribute to solving real-life business problems, as well as how Teradata Vantage can help data scientists enable a better ROI for their company.

ROI 49
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Q&A: Data Dictionaries and the Big Data Lifeline

Sisense

Data Dictionaries. Sounds like a blast from the past, right? Wrong. This simple, long-standing tool is even more relevant to us today than it ever was in the past. Working with data people every day, I know what it takes for our analysts and data engineers to go through the data and make it easier to analyze (it’s a known fact that 80% of their time is spent preparing and managing data for analysis).