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Event: February 7-9, 2017
Spark Summit East 2017
Hear Alpine Data's VP of Engineering, Lawrence Spracklen, speak about Spark Autotuning.
Recent Event: October 13, 2016
Finance Disrupted: Collaborate or Die?
Hear Morgan Stanley's Chief Analytics Officer speak about the future of analytic innovation in wealth management.
News: March 9, 2017
The Self-Driving Enterprise: How AI Will Make Apps and Us Work Better
AI has begun to take hold in the everyday, in the form of Siri, Alexa and autonomous vehicles. But if identifying the nearest Korean BBQ and driving me there is all that the future of AI promises, well that’s a damn shame...
In the News
In 2015, enterprises can better utilize the paradigm-shifting Hadoop
San Francisco, CA VentureBeat 3 Jan, 2015
In the coming year, I expect — or hope — that enterprises will realize that Hadoop is not simply a new database, or simply the latest advance in data processing and everyday analytics.
Hadoop Needs to Grow Up
San Francisco, CA ITBusinessEdge.com 1 Jan, 2015
We’re not even one week into 2015, and already Hadoop is being called out for needing to grow up.
Big Shots Of Big Data
San Francisco, CA VentureBeat 1 Jan, 2015
These days, companies don’t just have one data scientist hanging around. They have two or three or maybe even 150.
Alpine Enables Predictive Analytics for the Rest of Us
December 9, 2014
Chorus from Alpine Data Labs is a predictive analytics tool designed for data scientists and business analysts.
Trend-Setting Products in Data and Information Management for 2015
Database Trends and Applications
December 17, 2014
Data is increasingly being recognized as a rich resource flowing through organizations from a continually growing range of data sources.
Alpine Introduces Open Framework for Advanced Analytics in Enterprise
Inside Big Data
October 20, 2014
Alpine Data Labs announced the introduction of Alpine Chorus 5.0, an advanced analytics enterprise platform to enable organizations to unify all data access, control and innovation into one consistent and collaborative environment.
With deep learning, the data-rich get richer
From presentation to conversation: How A.I. will transform enterprise apps
Machine learning: The deplorable state of deployment
Machine learning: Demystifying linear regression and feature selection
The cost of an error: Balancing the role of humans and machines
Your business should demand more from machine learning