Posts by: Lixar I.T.

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Containing the Cloud

According to Docker, the differences between containerization and virtualization can be thought of as a person looking for a new house. If you live by yourself, do you need the ten bedrooms and the garage? Even when you find the smallest home on the market, you’ll have at least one bedroom. Containerization is the studio apartment to a virtual machine’s mega-house. Why use all of that extra space when all you need is a single room?

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CES 2017

Lixar’s CES 2017 | Top 5 List

Lixar’s team was at CES 2017, checking out the world’s most interesting and inspired technology on the verge of hitting the market. Here are some of our favourites from this year:

1. Kino-mo Hypervison

Kino-mo Hypervsn

Picture this: 3D without the glasses. The Kino-mo Hypervison works similarly to those waving LED sticks seen in the early 2000’s. Sporting a windmill-like design that spins at a rapid pace to appear invisible to the naked eye, the Hypervsn can be modified over a network as a standard smart display to show whatever is needed.

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2017 Big Data To Do List

2017 Data To-Do List

Big Data To-Do List

Big Data, Data Science, Advanced Analytics – You’ve had it on your list for years now, but you’re not quite sure how to start. The hype has changed over the years, but the essence of extracting value from your data has remained and 2017 is the year that Big Data matures as volume of data, human skill, and computational power all converge.

Some of the things I’ve learned over the past couple of years studying and working in the Big Data space is advanced analytics is hard. It is hard for companies to adapt to a data-driven culture in their decision making. It is hard for executives to weed through the BS and over promise that has been spouted by consultants and major tech firms looking to cash in on the Big Data bonanza. It is hard to find the time to dedicate to launching a data practice. The list goes on.

I’m here to tell you to start small, take an iterative approach, and focus on the minor wins before you ever try to introduce the more advanced and complicated stuff.

Are you using data visualization to its fullest potential?
Are you identifying customers that are likely to leave your service or increase their spend with you?
Do you know what the demand for your product or service is next month, quarter, year?
Have you optimized a costly process?
The answer to these questions is most likely that you have not yet achieved what you set out to do in any of these areas.

I’ve written about the 27 Things that Data Science Can Do For You Today in a past post, but the only way to scratch Big Data off your “to-do” list is to start. Let’s start with something small.

An assessment of where you are on your data journey and a few ideas on how to start will be my offer to you. If you’d like to scratch Big Data off of your to-do list in 2017, email

Thank you to Jonny Stevens for contributing this article.

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