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Tag: Data Scientists

Anaconda: Data Science Exiting Hadoop for the Cloud

Data scientists are embracing cloud-native frameworks as they move on from on-premises data infrastructure previously dominated by Hadoop, concludes a survey on the state of data science. The shift is driven in part b Read more…

Opening Up Black Boxes with Explainable AI

One of the biggest challenges with deep learning is explaining to customers and regulators how the models get their answers. In many cases, we simply don't know how the models generated their answers, even if we're very Read more…

Why Developers Need to Think Like Data Scientists

Data is growing faster than is even fathomable. By 2020, roughly 1.7 megabytes of new information will be created every second for every human being on the planet. Given the immense amount of data, it’s no wonder there Read more…

What Kind of Data Scientist Are You?

If you've worked with the data science community, you've probably interacted with data scientists and formed a definition for the increasingly popular position. But it turns out, not all data scientists are alike, and ac Read more…

ParallelM Aims to Close the Gap in ML Operationalization

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production. Dubbed MLOps, Parall Read more…

Spark’s New Deep Learning Tricks

Imagine being able to use your Apache Spark skills to build and execute deep learning workflows to analyze images or otherwise crunch vast reams of unstructured data. That's the gist behind Deep Learning Pipelines, a new Read more…

Why Big Data and Data Scientists Are Overrated

What does it take to get value out of data? Many organizations assume that you need a big collection of data and a highly skilled data scientist to spin all those 1s and 0s into dollar signs. In reality, companies need n Read more…

Data Science Platforms Seen as Difference-Makers

How will data scientists work in the future? Based on today's trends and a new survey by Forrester, it seems likely that much of the work that data scientists do will revolve around centralized platforms that help to org Read more…

10 Signs of a Bad Data Scientist

Data scientists are in hot demand and companies that previously didn’t even know what the job entailed are now scouring the world for the very best. The problem is, what is the best? As with anything, there are good an Read more…

Finding Long-Term Solutions to the Data Scientist Shortage

As we learned in the first part of this series, the gap between demand for skilled data scientists and supply is driving salaries north of $200,000 in some areas of the country. If big data analytics is to be democratize Read more…

How Data Scientists Are the New Backbone of Storage Infrastructure

Today’s IT teams have enough on their hands managing data-storage infrastructures, without having to worry about issues with an array or latency problems that no one seems to be able to understand or solve. But what if Read more…

Exposing the Data Scientist Myth: Using Big Data Without Them

Many organizations assume that big data initiatives require mythical data scientists. This notion is partly propagated by the media scrutiny surrounding the data scientist shortage and by the numerous responsibilities of Read more…

The Future of Data Science

What does the future of data science look like? If you're Forrester analyst Mike Gualtieri, the future of data science is all about predictive models—lots of them running in semi-automated fashion at truly massive scal Read more…

Unlocking the Hidden Benefits of Industrial Data

We've heard extensively about how companies are analyzing data born on the consumer Web to improve customer service, boost probability, and otherwise remake the business-to-consumer relationship. But industrial data is a Read more…

Report: Plans Lacking to Fill Data Skills Gap

The soaring demand for data scientists and the resulting pressure on the analytics labor pool is placing a premium on analytics talent as more companies with more data to sift through discover they are trying to hire the Read more…

Experfy: The Uber of Big Data Projects

Starting a big data analytics project can be tough, especially for mid-size firms that can't justify the cost of a full-time data scientist and don't want to deal with traditional consulting firms. But a company called E Read more…

U.S. Names First Chief Data Scientist

An industry veteran and college math professor who is partially credited with coining the title "data scientist" has been named the nation's first chief data scientist. The White House announced the appointment of DJ Read more…

Businesses Are Going About Data Science Wrong–Here’s How To Get It Right

Data scientists make the bold promise of granting businesses the power to predict the future. The adoption of this relatively new job title has gained traction, as savvy companies seek to move beyond the rearview mirror Read more…

Time to Query Your Data – Do You Know Where Your Data Scientist Is

The demand for data scientists has never been higher, as organizations scramble to adjust to the new realities of big data. That high demand presents a challenge for IT and line-of-business managers who are in charge of hiring data scientists. And not only must they lure the rare scientist, they must keep them happy enough to stick around, which may be easier said than done... Read more…

Visualizing the Big Data Job Market

Where are all the big data jobs? Well, one answer is ‘virtually everywhere,’ as more companies and institutions realize that harnessing big data in some form is necessary to keep up with the competition. However, to provide a more detailed and creative answer to that question, Tableau created an interactive visualization to illustrate exactly where relatively lucrative (based on their average salary figures) data science and analyst jobs exist in the United States. Read more…

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