There is little doubt machine learning has become one of the most powerful technologies in the last decade. The emphasis on “learning” in machine learning allows computers to make better and better decisions, based on previous experiences. Advances in this technology have allowed for recent breakthroughs that promote faster and more efficient business intelligence, using […]
Do Citizen Data Scientists Need Special Analytics Tools?
Click to learn more about author Kartik Patel. When Gartner talks about expanding data analytics to business users, they also talk about how the analytical tools must be suitable for business users. If a business wants to implement a citizen data scientist initiative and encourage their business users to become more productive and valuable within the […]
2020 DATAVERSITY Top 20
With 2020 now behind us, we here at DATAVERSITY are taking a moment to look back on the hits and misses of this unprecedented year. What content did you, our readers, seek out most during challenging times? Which topics helped you succeed as a data professional, and what should we focus more on in 2021 […]
A Beginner’s Guide to Using SQL for Data Science
With the increasing hype of trends like AI and digital transformation, companies have become data-driven. They have started relying on data and analytics instead of gut feelings, and Data Science has emerged as a lucrative profession. There are 2.72 million job openings for data scientists at present, and this demand will only go higher. If […]
What Are GPUs and Why Do Data Scientists Love Them?
Click to learn more about author Eva Murray. Move over, CPUs. The GPUs have arrived in modern enterprises, and data scientists are eager to use them for their modeling and deep learning applications. Why is this happening, and what are the advantages GPUs bring for Data Science applications? Read on and find out. What Are GPUs? GPUs, or graphics […]
Building the Data-Driven Enterprise for a Resilient Future
Click to learn more about author Bas Kamphuis Confronted with the current state of the world, business leaders are reassessing and recalibrating how they can better prepare themselves to become more resilient across their supply chain, their financial and customer operations, and the protection of their employees. Early in 2020, many companies were already looking […]
Data Versioning Matters to Data Science
Amazon Web Services (AWS) recently published a case study about how the Allen Institute for Cell Science — which was founded by Microsoft’s Paul Allen to research how the human brain works in health and disease — is taking new steps to make its data and metadata easy to access, search, and redistribute for internal […]
Data Science Trends in 2020
The exponential growth of data, partly generated by sensor-driven devices, is making Data Science and machine learning (ML) market differentiators in global business-analytics solutions. With the rising demand in Data Science and ML skills, 2020 may well be a witness to several new trends in the field. According to IDC: “[I]f our digital universe or […]
2019 DATAVERSITY Top 20
It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]
It’s Time to Productionize Data Science
To make Data Science part of business value creation, business users have to be part of the Data Science lifecycle. They need to be able to go back to Data Science teams and provide feedback so that the Data Science process reflects their requirements — and quickly. Models may need to be updated or functionalities […]