From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms ... staff should not consider Domino. Typical Domino deployments involve ...

BlueVine used AWS machine learning to ... For example, a typical PDF form has about 50 form fields; to recreate it as a digital form, the person has to drag and drop data to the right location ...

vice president of AWS Data and Machine Learning (ML) revealed the latest innovations during his keynote. To start, Sivasubramanian announced the launch of Amazon Athena for Apache Spark ...

Amazon Web Services has released AWS Entity Resolution, a machine-learning-powered analytics service that analyzes, matches and links related records across applications, channels and data stores, in ...

It would then use AI and machine ... Learning at AWS, and his team, to detect the word for the future and determine its sentiment. That sentiment would then be translated into a series of patterns ...

Both Databricks and AWS Redshift are ... environment for data engineers, data scientists, and business analysts to work together on big data and machine learning projects. It is built on top ...

Sivasubramanian recalled his early work on AWS when services such as S3 storage were released. Machine learning ... such as patterns in sales data. Another element Sivasubramanian, of extending ...