Dr. Cindi Thompson considers Data Scientists to be raccoons: “Raccoons are both smart and dangerous, and that’s kind of the way we think about Data Scientists.” Speaking at the DATAVERSITY® Enterprise Analytics Online 2017 Conference, in her presentation titled “How to Get the Most Value from Data Science Teams” Thompson said, “Raccoons have that desire […]
Role of Data Science in Cyber Security
Click to learn more about author Ashish Trikha. Modern Data Science, in its most fundamental form, is all about understanding. It involves studying, processing, and extracting valuable insights from a set of information. Though the word and process have been around for several decades, it was primarily a subset of computer science. Today, it has […]
Improving Self-Service Analytics by Harnessing the Data Swarm
“Self-Service Analytics is great because it empowers business people,” said Frank Moreno, VP of Worldwide Marketing at Datawatch. But as the trend has taken off, so have disconnected data silos that create challenges in understanding Data Provenance, modifications, and currency. So, as business users worked with reporting or visualization tools such as Tableau, there often […]
Putting AI to Work: Where Are We Now?
Click to learn more about author Ben Lorica. Back in May, I wrote an article for DATAVERSITY® Despite Investment in Deep Learning, AI Talent Pool is Shallow that explored how companies are putting Artificial Intelligence (AI) to work through Deep Learning. The article detailed how, despite the hype and desire to integrate this powerful technology […]
Cybersecurity Professionals Need to be Data Scientists Too
Cybersecurity practitioners don’t necessarily think of themselves as Data Scientists – but they should. In fact, most of them are already doing that work, even if they don’t recognize that the term applies to them. Securing the network and protecting the enterprise means that information security pros do everything from administrating servers and workstations in […]
Data Science in 90 Seconds: Principal Component Analysis
Click to learn more about video blogger Laura Kahn. This is Lesson 6 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, […]
The Future Impact of Data Science on Business Analytics
The field of Data Science is in a transitional mode in terms of how the latest data technologies are being used to solve business problems for a strategic advantage. In the near future, Data Scientists will conduct their business very differently. As Big Data, algorithm economics, IoT, and Cloud continue to become mainstream across global […]
Feedzai Unveils AutoML to Fight Fraud in a Fraction of the Time
According to a new press release, “Feedzai announced today that it is bringing AutoML to the fraud space, an industry first. By automating tasks such as feature engineering and machine learning model creation, data scientists are now able to create fraud prevention solutions as much as 50 times faster than is possible with the traditional […]
Leveraging AI and Machine Learning As Competitive Business Drivers
Click to learn more about author Dr. Michael Zeller. As volume, velocity and variety of data – often referred to as the “three V’s of Big Data” – continue- to increase, many businesses are unprepared to match the influx of this data with tools for collection and analysis. Even more surprising is that most organizations are […]
Looker Enhances Data Science Capability With Integration for Google BigQuery ML
According to a new press release out of the company, “Looker, a leading data platform company, today announced an integration with Google Cloud BigQuery ML (BQML) that accelerates the time-to-value of data science workflows and allows business users to operationalize insights with interactive predictive metrics. With Looker and BigQuery ML, data teams can now save […]