Since joining RavenPack in 2008, Peter Hafez, Chief Data Scientist, has been a pioneer in the field of applied news analytics, bringing alternative data insights to the world’s top banks and hedge funds. Here he answers our questions on the prospects for the alt data market and RavenPack’s latest innovations. What do you think are […]
With $9 billion invested annually in R&D, and an approximate 10 year / $2.5 billion cost for each new product to enter the market, Novartis Chief Digital Officer Bertrand Bodson discusses the significance of Data Science for his company in the following article by Elizabeth Dougherty
When Bertrand Bodson decided to join Novartis, his friends were surprised. You like a fast pace, they said, and pharma is slow. You like to be on the leading edge of digital and pharma is…not.
In the following article, William Schmarzo discusses the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.
In this interview with Data Scientist Mark Meloon, we turn the tables and I provide advice to “aspiring” Data Scientists on how to land that first job. It’s broker down into 10 Parts (by question.). Enjoy!
So what is the difference? “Data Science vs Machine Learning” “A simple distinction between Data Science vs Machine Learning for project managers and team leads.” by Charles Martin, PhD Data Science & Machine Learning Expert (YouTube Channel) OTHER: Artificial Intelligence Vs. Machine Learning Vs Data Science Vs Deep Learning My Quora Answer to: What […]
To: All Aspiring Data Scientists: I’ve exchanged messages with many of you about how to land that first job as a Data Scientist. Landing the first job is indeed hard with all the competition, but if you had a road-map for exactly what to do that was created by a Director of Data Science, who’s been […]
In this video from the GOTO Chicago 2017 conference, Dean Wampler (Big Data Architect at Lightbend & O’Reilly Author) explains the streaming Data Architecture and helps to demonstrate the key features to consider when choosing which streaming products to utilize. He speaks about Apache Beam, Flink, Akka Streams, Kafka Streams and Apache Spark and addresses determining factors like latency and volume.
When author Kate Strachnyi wanted to learn more about data science, she went straight to the source. In a series of more than twenty interviews, she asks leading data scientists questions about starting in the field and the future of the industry. Strachnyi’s interview subjects include team members from some of the world’s largest organizations, including LinkedIn, Pinterest, Bloomberg, and IBM.
FLINK FORWARD Berlin, from September. Keynote from Xiaowei Jiang, Senior Director at Alibaba. “Bring Flink to Large Scale Production”
From PyData Amsterdam, April 2017. Giovanni Lanzani gives a talk on the Data Science Process and where things can go wrong.