Featured » Data Science » Nov 7 - Operationalizing Data Science: The Right Architecture and Tools Webinar
Dig Deeper Into Data ScienceGo Now
Related content in this Stream
Using Data Science to Build an End-to-End Recommendation System
We get recommendations everyday: Facebook recommends people we should connect with; Amazon recommends products we should buy; and Google Maps recommends routes to take. What all these recommendation s
Conduent Uses Advanced Analytics and Data Science to Help Its Clients Proactively Avoid Legal…
Conduent Uses Advanced Analytics and Data Science to Help Its Clients Proactively Avoid Legal TroubleKarl Sobylak, Senior Director of Data Analytics at Conduent chats with Jeff Kelly at PostGres...
Karl Sobylak, Conduent | Advanced Analytics and Data Science
Karl Sobylak of Conduent chats with Jeff Kelly at PostGres Summit 2018 at Built to Adapt Live on how Conduent uses advanced analytics and data science to help its clients proactively avoid legal troub
Jun 21 - Using Data Science to Build an End-to-End Recommendation System Webinar
Use Automation to Streamline the Data Science QA Process
This post illustrates a way to mix automation with interactivity to reduce the manual steps in data science QA without compromising the data scientist’s ability to do that which is best done manually.
Getting Started with Advanced Analytics
A conversation with Ovum’s Tony Baer about the future of data.Some overnight successes hide the decades of work it takes to get there. That’s the perception that Tony Baer, a Principal Analyst at...
Tony Baer, Ovum | Advanced Analytics
A conversation with Ovum Principal Analyst Tony Baer about the future of data. Filmed at the Greenplum Summit at PostgresConf.
Pivoting from Political Science to Data Science
David at Pivotal.David Gelman is a data scientist at Pivotal. Despite having two Master’s degrees and a PhD, the road to landing his first job as a professional data scientist was not...
Artificial intelligence can scour code to find accidentally public passwords
Flex: Improving Patient Outcomes with API Management, ML, and Advanced Analytics
As one of the world’s largest contract manufacturers and engineering services providers, Flex Ltd. has perfected the art of bringing powerful ideas to life, no matter where the innovation springs...
Graph Processing on Greenplum Database using Apache MADlib
In this post, we address the use of massively parallel processing (MPP) databases like Greenplum Database for graph analytics workloads using Apache MADlib.
AI Is Not the End of Software Developers
A data scientist’s take on Software 2.0.Illustration by Monique Bonneau.Remember when software was eating the world? The trendy observation these days is that artificial intelligence (AI) is...
Maze Generation Algorithms in Clojure – Michael Daines
Mazes interesting puzzles to solve and Michael shows that they is an even more interesting puzzle in trying to generate them from code. He uses Clojure and based his algorithms on a 2015 book on maze
3 Answers and a Question with Elena Grewal
This iteration of our interview series features a conversation with Elena Grewal, Head of Data Science at Airbnb, where she talks building a company-wide data culture and what to do before your...
Greenplum for Extreme Weather Predictions and Analytics at Japan's NICT
How Greenplum's massively parallel architecture, multi-modal data, and in-database analytics enable predictive analytics for extreme weather at Japan's National Institute for Information and Communica
Getting Smart with Containers, Outsourcing, and Data Science
Learn how enterprises are investing in containers and organizational change.https://medium.com/media/c50e773c16d848dd8c69ad1ea9c0328c/hrefRedMonk industry analyst and trend-watcher Fintan Ryan...
Fintan Ryan, Redmonk | Containers, Outsourcing, and Data Science
Fintan Ryan (Industry Analyst, RedMonk) talks to Jeff and Ciara at SpringOne Platform 2017.
Window or A.I.sle?
How artificial intelligence-powered apps are streamlining how we travel. A record 28.5 million people will fly on US airlines between during the Thanksgiving holiday this year. Imagine each one of...
Operationalizing Data Science: The Right Architecture and Tools
In part one of this two-part series, you learned some of the common reasons enterprises struggle to turn insights into actions as well as a strategy for overcoming these challenges to successfully ope
Apache MADlib Comes of Age