Want to speed up your digital transformation initiatives? Take a look at your data

Digital transformation has taken center stage in many organizations. Need convincing? IDC predicts that two-thirds of the CEOs of Global 2000 companies will have digital transformation at the center of their corporate strategies by the end of 2017. Four in 10 IT leaders in the Computerworld 2017 Tech Forecast study say more than 50% of […]

Machine Learning Is Transforming Data Security

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 […]

Accuracy and Trust in Machine Learning

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 […]

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

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 – […]

What can you DO with Machine Learning?

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 […]

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 […]

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 […]