I’ve recently written about the risks of machine learning (ML), but with this post I wanted to take a step back and talk about ML and general. I want to talk about the ‘why’ of machine learning and whether you and/or your company should be investigating machine learning. Do you need machine learning? Maybe. Maybe … Read more
Data is the lifeblood of any organization today so it should be easy to understand that security of that data is just as important (if not more important) that the data itself. It seems that data security (or rather the lack thereof) has been in the news regularly over the last few years. The inability … Read more
A few weeks ago, I wrote about machine learning risks where I described four ‘buckets’ of risk that needed to be understood and mitigated when you have machine learning initiatives. One major risk that I *should* have mentioned explicitly is the risk of accuracy and trust in machine learning. While I tend to throw this … Read more
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
Everyone’s talking about machine learning (ML) and Artificial Intelligence (AI) these days. If you are a CxO or work in IT or marketing, I’d bet that you hear these terms more than you probably want to. It feels an awful lot like the early data of Big Data or Business Intelligence or the days when … Read more
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 … Read more