Lauris Veips

Lauris Veips is a freelance writer, hailing from cold and distant Latvia. A cloud enthusiast and supporter of anything innovative.
Website Business Migration

Website Business Migration – A Useful Intermediary

By Lauris Veips | January 7, 2015

Website Business Migration Cloud services seem rather straightforward to many. Email? Gmail, Office365. Websites, apps? Amazon, Google, Azure. But the list goes on for online collaboration, manufacturer solutions, bookkeeping, and so on. Truth is, there’s already a bit too much

When Algorithms Go Awry

By Lauris Veips | December 29, 2014

When Algorithms Go Awry Personalization is a very effective marketing tool–the most successful entrepreneurs use their data to great effect to segment their marketing efforts, with the best going as far as to segment down to the very individual (think

Digital Meets Analog: Problems With Digitizing The Physical World

By Lauris Veips | December 18, 2014

Digital Meets Analog Although the world has in some ways become what Sci-Fi authors thought it would, some ideas, like self-driving cars, are rather far from becoming a reality. The problem? The earth is just too much, and too diverse

Public or Private Cloud: Costs The Main Factor After All?

By Lauris Veips | December 16, 2014

Are Cloud Costs The Main Factor? Even though private and public cloud is usually a choice between flexibility/security and loss of control versus keeping it, there is increasing evidence that, for all the benefits of the public cloud, many companies

Keeping A Lid On Your Data

By Lauris Veips | December 15, 2014

Data Discretion As discussed on CloudTweaks not too long ago, invisibility is the one thing that’s very important when bringing the Internet of Things to the kitchen. That is, the process of working a home appliance has to be convenient to

Does Proprietary Data Hinder Research?

By Lauris Veips | December 4, 2014

Does Proprietary Data Hinder Research? A widely-discussed article at Newsweek about the ‘data problem in medicine’ sheds light on the fact that doctors don’t have access to data about the very medicines the prescribe. In fact, of all clinical trials,

Workday Brings Predictive Analytics to Human Resources Management

By Lauris Veips | November 12, 2014

Predictive Analytics In a much-discussed tech San Francisco tech conference, Workday, an on-demand software vendor for human resources and financial asset management, announced new Insight Applications that, inter alia, bring predictive insights to HR tools. In the new suite of

Does the Personalization of the Web Create an Information Bubble?

By Lauris Veips | November 10, 2014

Personalization In The Cloud As websites like Facebook, Google and Amazon become more and more personalized, there’s danger to be engulfed in a stream of information that corroborates a person’s worldviews and filters out findings or stories opposed to them,

Big Data Insights on The Way We Perceive Other Human Beings

By Lauris Veips | November 5, 2014

Big Data Insights For all its great potential, Big Data sometimes simply corroborates our gut feeling or gives us something that we didn’t need, or want to know. Christian Rudder, co-founder of the dating website OKCupid, makes sure we get

Open Data Census and Sources

By Lauris Veips | November 3, 2014

Open Data Sources Much has been written about how open data can make cities smarter, but now there’s a way to see which cities fare better than others in opening their datasets to the public. The Open Data Census, a

Privacy Issues And Wearable Devices

By Lauris Veips | October 29, 2014

Since users of Fitbit have unwittingly shared their ‘sexual workouts’ with the whole of the world wide web, the reasons why 8 out of 10 people have privacy concerns over wearable devices become apparent rather quickly. As wearables surround us,

Critical Thinking And Big Data

By Lauris Veips | October 27, 2014

In a deeply moving TED talk about the importance of critical thinking when dealing with data, big or small, Susan Etlinger reminds us why it’s important to think twice before assuming anything, even when backed up by data. Inevitably, morality