See how the insurance industry is using artificial intelligence to turn raw big data into business-ready information
See how the insurance industry is using Big Data technologies to predict risks and claims, to monitor and to analyze them in order to develop effective strategies for customers attraction and retention.
Check you how advancements in AI (artificial intelligence), big data analytics, mobile technology, and cloud computing have started to enable patients to take greater control of their medical care, leading towards a major shift in the patient-physician relationship.
Informative article on the Top 4 Machine Learning Use Cases for Healthcare Providers.
As the insurance industry struggles to utilize its data, the following article explains how predictive analytics is helping with the problems they face.
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.
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.
Domino Data Labs recently made the Gartner 2017 Magic Quadrant for Data Science Platforms. Here, Domino’s Chief Data Scientist, Eduardo Arino de la Rubia, does a great job making the very complex easily understandable. Learn more about the platform…
Big data remains a rapidly evolving field with new applications and infrastructure appearing every year. In this talk, Matei Zaharia will cover new trends in 2016 / 2017 and how Apache Spark is moving to meet them. More