Don’t start from where you are

For decades now, I’ve been in workshops with a number of companies that seek to change some aspect of their business. Reflecting on the more recent workshops, however, made me recognize patterns that seem to reappear frequently or typically. As we all know, change is hard. For individuals and even more so for organizations. However, … Read moreDon’t start from where you are

DataOps: the key to operational AI

One of the things that keep surprising me over and over again is how much effort companies spend on processing, cleaning, converting and preparing data. For the companies that I work with, the data science teams easily spend 90-95 percent of their time just preparing data for use in machine learning/deep learning deployments. This is … Read moreDataOps: the key to operational AI

It’s not what AI can do for you

Virtually any company that I work with is exploring its data sets and business processes to identify opportunities for productivity improvements, higher accuracy or lower cost. The constant question that these companies struggle with is how can artificial intelligence, and specifically machine learning (ML) and deep learning (DL), support existing processes and ways of working. … Read moreIt’s not what AI can do for you

How to develop software

In earlier posts (such as here), I have discussed different approaches to software development and one of the key models for this is the HoliDev model where we combine requirements driven development, outcome-driven development (e.g. A/B testing) and AI-driven development. In the figure below, the HoliDev model is shown graphically. It may easily seem that … Read moreHow to develop software

AI is not about data sets

As I’m spending an increasing amount of time in the AI field with a variety of companies, I’ve noticed an interesting misconception in the ML/DL space. Many have a tendency to focus on data sets, experimenting with different models using a specific set of data and, finally, deploying a model in a specific context. This … Read moreAI is not about data sets

Quantify yourself

Having spent quite a bit of this summer thinking about machine learning and artificial intelligence, it seems to me that there’s a very important transformation ongoing from a focus on the qualitative to a focus on the quantitative. The moment we start with A/B testing, deploying multi-armed bandits or training machine learning models, the very … Read moreQuantify yourself