Machine learning risks are real. Do you know what they are? 

Machine Learning Risks

Machine Learning Risks are real and can be very dangerous if not managed / mitigated. Everyone wants to ‘do’ machine learning and lots of people are talking about it, blogging about it and selling services and products to help with it. I get it…machine learning can bring a lot of value to an organization – … Read more

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, … Read more

Data and Culture go hand in hand

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 … Read more

The Data Way

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 … Read more

Don’t get “Theranosed”

Kaiser Fung just posted a blog titled “Tip of the day: don’t be Theranosed” where he defines “theranosed” as: Theranos (v): to spin stories that appeal to data while not presenting any data To be Theranosed is to fall for scammers who tell stories appealing to data but do not present any actual data. This … Read more