Foto Friday – Sunrise colors over Sedona

A few weeks ago, I traveled to Sedona Arizona for a few days. While there, I was able to sneak out and get a few sunrise photos. Here’s the first of a few that i’ll be sharing over the next few weeks. Captured with Sony a7R III and Sony FE 24-70mm f/2.8 GM. Purchase a […]

Big Data Roadmap – A roadmap for success with big data

I’m regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success.  Most organizations want to jump in a do something ‘cool’ with big data. They want to do a project that brings in new revenue or adds some new / […]

Agile Marketing Based on Analytical Data Insights: Improving Scrum Tactics in Brand Outreach

This post is written by Mathias Lanni (Executive VP, Marketing – Velocidi). Agile management and scrum-style techniques have long been accepted in fields of technology development, but have been increasingly adopted outside the tech industry over the years.  Fundamentally, agile tactics are a way for organizations to more quickly adapt to quickly-changing markets and customer demands, […]

Are your machine learning models good enough?

Imagine you’re the CEO of XYZ Widget company.  Your Chief Marketing Officer (CMO),  Chief Data Officer (CDO) and Chief Operations Officer (COO) just finished their quarterly presentations and were highlighting the success from the various machine learning projects that have been in the works. After the presentations were complete, you begin to wonder – ‘are […]

2017: A year in review (and a preview of 2018)

2017 was an interesting year for me. I bought a new house in February after being homeless for about 4 months. In October 2016, my wife and I sold our house and spent the 2.5 months of 2016 and the first 1.5 months of 2017 traveling around the Southwest (we spent the time in Colorado […]

Deep learning – when should it be used?

“When should I use deep learning?” I get asked that question constantly. The answer to this question is both complicated and simplistic at the same time. The answer I usually give us something along the lines of ‘if you a lot of data and an interesting / challenging problem, then you should try out deep […]

When it comes to big data, think these three words: analyze; contextualize; internalize

If you don’t know, I’m a bit of a data nerd.  I’ve been writing about big data, data science, machine learning and other ‘new’ stuff for years.  I believe in data science and I believe in big data. I’m a fan of machine learning (but think you probably don’t need it) for the majority of […]

Data and Culture go hand in hand

A few weeks ago, I spent an afternoon talking to the CEO of a mid-sized services company.  He’s interested in ‘big data’ and is interviewing consultants / companies to help his organization ‘take advantage of their data’.  In preparation for this meeting, I had spent the previous weeks talking to various managers throughout the company […]

11 years, 1400 blog posts…and a pretty graph

As part of a tutorial on Text Analytics and Visualization I just finished  over  on technical blog called Python Data (where I blog about using python for data analysis), I took a look at all 1400 posts over the last 11 years (11 years!).  The findings weren’t surprising but they are interesting (at least to me). […]

The Data Way

The world has become a world of data. According to Domo, the majority of the data (roughly 90% of it) that exists today has been created within the last two years. That’s a lot of data. Actually…that’s a LOT of data. And it’s your job to use that data to make better decisions and guide […]