The Unofficial Google Data Science Blog

JULY 17, 2018

by BILL RICHOUX Critical decisions are being made continuously within large software systems. Often such decisions are the responsibility of a separate machine learning (ML) system. But there are instances when having a separate ML system is not ideal. In this blog post we describe one of these instances — Google search deciding when to check if web pages have changed.

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Data Science Snapshot Data Processing Optimization 85

Bruno Aziza

JULY 20, 2018

Overlooking the differences between compliance and security could be perilous for enterprises. In this article, Zscaler Chief Evangelist Larry Biagini discusses compliance vs. security in relation to the European Union's GDPR, and how not confuse one for the other.

Enterprise 52

Enterprise 52

Cloudera

JULY 18, 2018

The practice of medicine is not only a science, it is also an art. With it, difficult situations will arise requiring insightful judgments made by well-trained physicians who can tailor their approach to the needs of patients. As such, we are witnessing a revolution in the healthcare industry, in which there is now an opportunity to employ a new model of improved, personalized, evidence and data-driven clinical care.

Machine Learning 50

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 50

Jedox

JULY 17, 2018

The digital transformation is redefining the world as we know it at a pace faster than most people could ever imagine. But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward. It is the people who are using and embracing these new technologies – simply because it makes their lives easier, safer, and more enjoyable.

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

IBM Big Data Hub

JULY 17, 2018

“Content management” — at least as traditionally defined — is no longer the straw that stirs the process drink. It’s a key element, yes. It’s an important set of tools in the enterprise toolkit, yes. But it is not the only game in process town.

Management 47

Management Enterprise IT 47

Paul Turley

JULY 15, 2018

[ Related posts in this series: SQL, M or DAX: When Does it Matter? SQL, M or Dax? – part 2 SQL or M? – SSAS Partitions Using SQL Server Table-Valued Functions (UDFs) SQL or M?

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IT 40

DataRobot Blog

JULY 16, 2018

by Jen Underwood. Windows of opportunity today close quickly. The digital era continues to alter the landscape across numerous industries. According to a team of Credit Suisse analysts, the disruptive force of technology. Read More.

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Analytics Technology Reporting Visualization 40

IBM Big Data Hub

JULY 19, 2018

Sharpe Engineering helps clients understand and utilize data in motion with stream processing and machine learning technologies that make sense of previously underutilized data.

Machine Learning 43

Machine Learning Technology 43

Paul Turley

JULY 15, 2018

This is a continuation of this post In the data platform industry, we have been working with SQL for decades. It’s a powerful language and over many years, we’ve learned to work with it’s strengths and to understand and work around it’s idiosyncrasies. M is a considerably more modern and flexible query language.

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