Machine Learning for Personalizing Digital Experiences

Personalization has always been a key aspect in almost all kinds of digital experiences. Some examples of commonly found personalisation use cases are: allowing users to customise their dashboards or user interfaces, showing content based on explicit user-defined criteria, showing content based on implicit criteria or even that based on user behaviour. All these required … Continue reading Machine Learning for Personalizing Digital Experiences

Using Factor Analysis to reduce number of attributes

In my last post on using machine learning for everyday use cases, i’d mentioned factor analysis as a way to reduce large number of items (e.g., news articles’ attributes) into smaller set of variables. Some people asked me for examples of this, so this post is an attempt to explain how factor analysis can be used for what … Continue reading Using Factor Analysis to reduce number of attributes

Some data from my social media survey

In my last post, I provided an overview of how to measure impact of a digital or social media initiative. But before you can measure the impact, you need to be able to create an inventory of what all activities in your organization can use these media. In this post, let's look at the findings … Continue reading Some data from my social media survey

How do you Measure the Impact of a Social Media Initiative?

While there's a widespread usage of digital and social media within organizations' value chains, there are several questions that I hear often. E.g., How  do you measure the impact of these initiatives? There are several use cases for which social media can be used. How do you actually prioritize these and decide what you want … Continue reading How do you Measure the Impact of a Social Media Initiative?