Click to learn more about author Pieter van Ispelen. Within the growing field of Data Science, two high level functions complement each other to derive value from data: Information Management and Decision Science. One can’t optimally function without the other and often Data Scientists are expected to perform both functions. In the most effective data-driven […]
Data Science in 90 Seconds: Singular Value Decomposition
Click to learn more about video blogger Laura Kahn. This is Lesson 5 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, […]
NEC and dotData Use AI to Accelerate Data Science for the SMBC Group
A recent press release states, “NEC Corporation and dotData, Inc., a Silicon Valley venture in the automation of data science, today announced the provision and full operation of ‘dotData’ platform for the Sumitomo Mitsui Financial Group, Inc. (SMBC Group) in order to strengthen the Group’s analytical capabilities. In recent years, the need for big data […]
Data Profiling: The First Step to Data Science
Click to learn more about author Mark Hensley. In 2012 former Chief Data Scientist of the United States DJ Patil and Babson College Professor Thomson H. Davenport famously declared that the job of Data Scientist would be the “Sexiest job of the 21st Century.” While that may true, most Data Scientists spend the biggest chunk […]
Artificial Intelligence Has its Foundation in Good Data
Creating value and competitive advantage are two top use cases for Artificial Intelligence (AI). Now, it’s time for businesses to really get their hands on how to put it to work to those ends. Most companies are ready and willing to take it on. In the case of large enterprises, they’re looking for ways to […]
Data Science Compensation Survey
Click to learn more about author Steve Miller. I recently came across an article in Forbes on the salaries of Data Scientists. The piece summarized findings from the just-published 5th-annual Burtch Works Study: Salaries of Data Scientists. The study is generally well-done, providing insight into trends and breakdowns of compensation for Data Science professionals. I […]
Data Science in 90 Seconds: K-Means Clustering
Click to learn more about video blogger Laura Kahn. This is Lesson 4 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 Case for Agile Machine Learning
Click to learn more about author Paul Barba. Agile methodologies have become the go-to approach for Data Science projects. A central element of these methodologies is iterative development. In an Agile project, solutions and requirements are constantly evolving based on new understandings, input and feedback. Unsurprisingly, Agile project management methodologies are characterized by short development […]
Cloudera Speeds Up Enterprise Machine Learning from Research to Production
According to a recent press release, “Cloudera, Inc., the modern platform for Machine Learning and analytics optimized for the cloud, announced new innovations to help businesses operationalize data insights faster by making data scientists and data engineers more productive. New Machine Learning capabilities make it easier for data scientists to quickly train and deploy models […]
Adents and Microsoft Introduce Combined Blockchain, AI, IoT & Serialization Solution
The collaboration of Microsoft with Adents was recently announced in a press release. “Their efforts have developed a new unit-level product track & trace platform utilizing Blockchain and AI technology. The groundbreaking Adents NovaTrack, which debuted at VivaTech 2018 in Paris last month, offers end-to-end traceability and visibility throughout the entirety of the supply chain.” […]