Sat.Jul 14, 2018 - Fri.Jul 20, 2018

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Crawling the internet: data science within a large engineering system

The Unofficial Google Data Science Blog

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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Don't Confuse GDPR Compliance with Security

Bruno Aziza

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.

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Machine Learning and AI Underpin Predictive Analytics to Achieve Clinical Breakthroughs

Cloudera

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.

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New technologies like AI and machine learning are driving the digital transformationMaking AI Real (Part 1)

Jedox

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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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Reflections on the 2018 state of information management

IBM Big Data Hub

“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.

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SQL or M? – SSAS Partitions Using SQL Server Table-Valued Functions (UDFs)

Paul Turley

[ 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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Seize Competitive Advantage through Embedded Analytics

DataRobot Blog

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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Enabling instant insight and decision support with stream processing

IBM Big Data Hub

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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SQL or M? – SSAS Partitions in Power Query/M

Paul Turley

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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