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 87

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 51

Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

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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Machine Learning Technology Digital Transformation Predictive Analytics 47

Advertiser: ZoomInfo

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

Sales

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

Hurwitz & Associates

JULY 19, 2018

By Jean S. Bozman. Edge-to-cloud is the central focus of Hewlett Packard Enterprise (HPE) marketing and go-to-market efforts in 2018/2019. This central strategy, an evolution of the company’s plan for the Intelligent Edge and edge gateway systems, expands on the company’s broad portfolio of software, services, systems, storage and networking products.

Strategy 40

Strategy Data-driven Experimentation Software 40

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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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.

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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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