Eric Siegel has a book devoted to getting the best out of AI; specifically its prediction-related branch, machine learning. He gives lots of practical advice on machine learning development. How then to get the best out of your algorithms? Practical Advice On Machine Learning Deployment Siegel gives a way of thinking about machine learning development….
Category: Artificial Intelligence
Random Forests and Machine Learning
Scott Hartshorn has some useful accessible advice on all things analytics. Today I’ll look at his advice on random forests and machine learning. Machine Learning He starts by giving us a clear intuitive, rather than a formal, view of what machine learning (ML) is. He says that at their heart a lot of different ML…
A Framework For AI In Marketing
At the risk of stating the obvious artificial intelligence (AI) is a subject of great interest in marketing. Indeed, beyond marketing too at the moment. There is a lot of discussion of how companies can take advantage of the opportunities (and avoid the downsides). Raj Venkatesan and Jim Lecinski have a new book that sets…
Prejudice Against The Machine: Impact Of Chatbot Identity Disclosure
Whenever technology progresses a major question arises: What can technology do as well, or better, than humans? Since the luddites, and probably before, people reacted to technology with hostility. This raises the question whether machine learning algorithms can replicate (or outperform human behavior) but still be unpopular due to human reaction. A group of authors…
Programmatic Media Buying And Algorithmic Purchasing
This post looks at art and science — communications and analysis — in the use of data. I also discuss programmatic Media Buying And Algorithmic Purchasing. Art And Science in Marketing Analytics Kevin Hartman, the Director of Analytics for Google, has a pleasant readable book on digital marketing analytics. (Which quite frankly you’d expect him…
Artificial Intelligence, AI, And Marketing’s Future
Thomas Davenport and his colleagues have a recent piece in the Journal of the Academy of Marketing Science on Artificial Intelligence, AI, and Marketing’s Future. This is an eminently readable piece, which I appreciate. It lays out some issues with AI and where the marketing discipline may go. AI And Human Beings I am fascinated…
Machine Learning And Retailing
Joseph Ryoo, Xin/Shane Wang, Praveen Kopalle and I have an article available now in the Journal of Retailing. This focuses on machine learning and retailing. It is a major question how new technology will change retail. Our work therefore tries to get a grip on this. Reviewing Machine Learning And Retailing In The Literature We…
Personalization In A World Of Artificial Intelligence
V. Kumar and his colleagues examine what Artificial Intelligence (AI) is doing to the world of marketing in their recent piece in the California Management Review. What is the future of artificial intelligence and personalization? Artificial Intelligence And Personalization Versus Customization Central to their analysis is the idea of personalization. They distinguish this from customization….
Bias And Algorithms
As algorithms play greater and greater roles in our lives a reasonable question is: “are they fair?” The answer is often; “no, not really”. To be clear that doesn’t necessarily mean algorithms are making the world worse. If things were unfair before (and they were) then just knowing that things are unfair now can’t tell…
Artificial Intelligence And Its Challenges
Artificial Intelligence (AI) has thrown up all sorts of questions for business and society. What then of artificial intelligence and its challenges? What To Do With It One of the first problems was recognizing what to do with it. Nowadays we can see AI making considerable impacts on the world but that this would happen…
