Category: english

How to write up machine learning experiments? Here’s a process to follow

It’s sometimes difficult, especially for newcomers, to understand all the steps of a machine learning (ML) analysis. Here’s a practical list of the items I’m myself considering when leading an ML research project. Our use of ML is applied; we do research related to social computing (also known as computational social sciences), marketing, analytics, and […]

The Triangulated Attribution Model

This is a practical, conceptually sound attribution framework we have been developing with Mr. Tommi Salenius who is the Head of E-commerce in a fast-growing international e-commerce company. The point is this: >90% of e-commerce companies (just an educated guess based on our experience) solely rely on analytics to attribute sales to channels and campaigns. […]

All Forms of Analytics with Their Definitions

DISCLAIMER: This post was produced in collaboration with AI (ChatGPT-4, September 2023 version). The content has been verified by a human subject matter expert for veracity and relevance and modified where appropriate. There are many forms of ‘analytics’, like ‘web analytics’, ‘digital analytics’, and ‘marketing analytics’. Are these different forms of analytics all the same […]

AACO – Transferrable skills in digital marketing

This post is inspired by the brilliant CRAP or CARE model by Mikko Piippo (this acronym is much poorer but have to start somewhere :). Transferrable skills are beneficial across different digital marketing roles, regardless of the specialization. Analytics The skill needed in every area of digital marketing, whether advertising, PPC, SEO, email marketing, social media marketing, […]

Hypersocial Meets Antisocial!

Had a great discussion with Linda Sevelius who shared her expertise on social media marketing with the students of University of Vaasa. We touched upon many topics, one of which was, “Does a social media marketer need to be social to be successful?”. The answer would seem to be yes! But, we could nonetheless distinguish […]

Tips for Using AI in Academic Writing

This post contains an example of how to declare the use of AI in academic work (see the ‘Methodology’ section below) as well as explaining triangulation as a way of verifying AI-generated information. (Read also my previous post about how to handle AI in education.) Methodology OpenAI’s ChatGPT (September 25 Version) was used to define […]

How to Handle AI in Education?

In this post, I’m discussing the use of AI — specifically LLMs or large language models, also known as generative AI, of which Open AI’s GPT models (including ChatGPT) are prominent examples. I will first present a case for why detection and prevention of such models in education is not feasible or even possible. Then, […]