Click to learn more about video blogger Laura Kahn. This is Lesson 14 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]
Smart Data Discovery: A Step in the Right Direction for Enterprise Data Strategy
Click to learn more about authors Oksana Sokolovsky and Rohit Mahajan. A few years ago, if I told you about “smart data discovery,” you may have thought I was just discussing the latest technology trend. Today, however, you’ve probably heard plenty about it. The technology continues to evolve and is proving to solve many customer […]
Cybersecurity’s Future is Data-Driven: Using UEBA to Thwart Threats
Click to learn more about author Derek Lin. User and entity behavior analytics (UEBA) is one of the fastest-growing areas within enterprise security, growing at a compound annual growth rate of 48 percent per year, according to Gartner. Modern enterprise IT security solutions use this technology to detect and remediate advanced threats that are unable […]
How Organizations Can Utilize Data Lakes, Marts, Vaults, and Warehouses
Click to learn more about author Neil Barton. As businesses begin the movement to be more data-driven, it can be difficult to assess an organization’s exact data infrastructure need. With terms such as data lakes, data vaults, and data warehouses, IT business leaders may be asking themselves: “What exactly does our organization need to extract […]
Data Models That Build Themselves
Click to learn more about author Mike Brody. Self-service Business Intelligence (BI) is about bridging the knowledge gap that has historically separated business professionals from their data. It’s about doing away with intimate knowledge of information systems as a prerequisite for finding out last quarter’s growth margin. And when it comes to replacing SQL statements with […]
Automated Machine Learning: Just How Much?
Click to learn more about author Rosaria Silipo. An interview with three data scientists and guided automation experts There is currently a lot of talk about automated machine learning. There is also a high level of skepticism. I am here with data scientists Paolo Tamagnini, Simon Schmid and Christian Dietz.. to ask a few questions […]
Sisense and Periscope Data Merge, Delivering an End-to-End Data Science and BI Platform
A recent press release reports, “Sisense, the leader in empowering analytic builders to simplify complex data and provide insights to everyone, today announced its merger with Periscope Data, the world’s leading analytics platform for cloud data professionals. Sisense delivers deep expertise in mashing up disparate data sets, building and embedding analytic apps and intuitive data […]
The State of Data Science: Expertise Shortage Creates a Need for Innovation
The world’s most valuable resource is no longer oil but data. As a result, the skills required to convert data into insights that generate revenues are in high demand. Unfortunately, one of the biggest hurdles companies face when trying to capitalize on their data sets is a lack of data scientists and machine learning practitioners. […]
Data Science in 90 Seconds – Lesson 13: LASSO
Click to learn more about video blogger Laura Kahn. This is Lesson 13 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, […]
Getting Data Right Drives Successful RPA Outcomes
Click to learn more about author Tyler Warden. Enterprise technology innovation and investments are typically driven by compelling events in an organization, especially in the areas of computing and machinery, as companies seek to do business faster and remain competitive. For the past several decades, the theme of transferring mundane, repetitive, error-prone, and painful tasks […]