According to a new press release, “Open Data Group (ODG) has rebranded as ModelOp, reflecting the company’s sole focus on Model Operations and the rapidly growing need in large enterprises for this critical new capability, which is essential for realizing the value from their investments in AI. According to Gartner, ‘The democratization of ML techniques […]
Connecting the Dots: Strategies for Matching Big Data
Click to learn more about author Harald Smith. Entity resolution, also known as data matching or identity resolution, is central to our ability to connect data about any given entity, whether that is a person, place, or thing (e.g. asset, part, product). For most of us, that process of connecting data together simply happens, maybe […]
Data Science in 90 Seconds: Deep Learning
Click to learn more about video blogger Laura Kahn. This is Lesson 16 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, […]
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 […]
Data Science in Life
Click to learn more about author Steve Miller. Early last Spring, I was texted by a neighbor friend who asked if I’d be willing to chat with her regarding the pending college choice of her daughter. A top student at our suburban Chicago high school, the young woman had plans to become a physician, and […]
Modernize Data Practices with DataOps
Back in 2015, a new term was introduced to the market: DataOps. “DataOps,” wrote Andy Palmer: “Is a Data Management method that emphasizes communication, collaboration, integration, automation and measurement of cooperation between data engineers, data scientists and other data professionals.” The practice was born out of the democratization of analytics and the implementation of built-for-purpose […]
SpaceNet, Topcoder Partnership Delivers Advanced Geospatial Data Science
A recent press release reports, “Topcoder, the world’s largest technology talent network and digital crowdsourcing platform, will join as a 2019 – 2020 partner with SpaceNet® , a nonprofit dedicated to accelerating open source, artificial intelligence (AI) applied research for geospatial applications. This partnership will accelerate SpaceNet’s ability to leverage the global 1.5M member Topcoder […]
Deploying the Obscure Python Script: Neuro-Styling of Portrait Pictures
Click to learn more about author Rosaria Silipo. Click to learn more about co-author Mykhailo Lisovyi. Today’s Style: Caravaggio or Picasso? While surfing on the internet a few months ago, we came across this study[i], promising to train a neural network to alter any image according to your preferred painter’s style. These kinds of studies […]
Data Science in 90 Seconds: Choosing a Machine Learning Approach
Click to learn more about video blogger Laura Kahn. This is Lesson 17 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 Data Analysts of the Future: What Will They be Doing?
The need for citizen data scientists — people who can use real-time, data-powered insights — will be on the rise with the widespread availability of data and AI-enabled, self-service analytics platforms. So, the best job of the century may be at risk. Smart machine learning algorithms can analyze and interpret data, and even produce content […]