The potential and limitations of AI in home care – the users’ view

This week, the English parliament approved a new “health and social care” tax, corresponding to an increase in National Insurance contributions from 12% to 13.25% of salary (i.e., a whopping 10.4% increase!!). This increase is to pay for the home care needs of older people, disabled citizens, and others with high care needs. That is, for carers … Continue reading The potential and limitations of AI in home care – the users’ view

Using machine learning to identify learners at risk, and develop targeted interventions

Education is linked to higher salaries, increased job satisfaction, and better health outcomes. It prepares learners to tackle complex societal problems and can address regional skills’ gaps. Thus, being able to identify leaners at risk of not progressing on their studies, or even dropping out of their courses, is of critical importance for the learners … Continue reading Using machine learning to identify learners at risk, and develop targeted interventions

Understanding and solving opacity in algorithms

One of the key challenges presented by algorithms is its opacity – that is, the inability to see how the algorithm produced a specific output. For instance, the ability to see how a search engine algorithm ranks content; how credit rating algorithm ranks the characteristic of potential borrowers; or, how a self-driving algorithm ranks external … Continue reading Understanding and solving opacity in algorithms

New paper: Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective

There is a lot of enthusiasm about the potential of artificial intelligence in general, and machine learning in particular, to solve just about any problem on Earth. Thus, a special issue of the Journal of Business Research is looking at the potential of those technologies to meet the United Nations 17 Sustainable Development Goals; and … Continue reading New paper: Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective

Covid19, the limitations of machine learning, and the importance of data

The Covid-19 crisis is showing us the limitations of many things that we took for granted. Medicine’s ability to cure, for instance. For the time being, there is no cure for Covid19 – the best thing that the fantastic health professionals can do for us is support our bodies, while they fight the virus’s infection. Or, the … Continue reading Covid19, the limitations of machine learning, and the importance of data

New paper: How AI can destroy business value

As we enter the fourth industrial revolution, Artificial Intelligence (AI) and Machine Learning (ML) technologies are being used to automate business processes in more and more areas, from calculating optimal transport loads to shortlisting loan applicants without human input. These technologies promise to create business value, for instance, by improving productivity and reducing mistakes. However, … Continue reading New paper: How AI can destroy business value

AI is a system, not a technology

I have been reading a lot of about artificial intelligence (AI), lately, and reflecting on its implications for how organisations interact with its customers. I have noticed that, often, AI is equated with the algorithm that underpins it (which is, often, assumed to be a machine learning algorithm). That makes sense, because algorithms are fundamental … Continue reading AI is a system, not a technology

Types of machine learning – a crib sheet for marketers

According to a market study by advisory firm Dresner, reported in Forbes, marketing managers are more likely than any other organisational function to see machine learning as critically important for the achievement of their goals. As shown in the graph below, 40% think that machine learning is critically important, and nearly two-thirds (65%) think that it is … Continue reading Types of machine learning – a crib sheet for marketers

[Miscellany] Not smart; not oil; not AI

The connected home is not smart I only noticed this now; but, it seems that, when Google merged the Home and Nest divisions, it rebranded the connected home from ‘smart’ to ‘helpful’. The announcement said: Today, we’re committing to that goal by bringing the Home products under the Nest brand. Our first step as Google … Continue reading [Miscellany] Not smart; not oil; not AI

Some thoughts on Artificial Intelligence, and what it means for marketing

I am preparing for a workshop on the topic of Artificial Intelligence in Marketing, and what it means for the field. These are some initial thoughts that I penned for this workshop. What is Artificial Intelligence (AI)? The term AI refers to any technological assemblage that can collect inputs from the environment (e.g., through sensors), … Continue reading Some thoughts on Artificial Intelligence, and what it means for marketing