The Dialectic Book Club recently explored one of today’s hottest topics, discussing Artificial Intelligence and Machine Learning for Business by Steven Finlay, a practical and concise overview geared to managers and business people.
Finlay is a data scientist with a Ph.D. in predictive modelling, who specializes in developing machine-learning solutions in big data industries, including the financial sector.
The book begins with the basics, providing easy-to-absorb definitions of machine learning and AI and then explores the value of machine learning and how it works. It provides insights on building a predictive model and how to use such a model to make decisions, as well as ethical implications.
Dialectic team takeaways:
- In the short term, machine learning will add jobs, rather than suppress them.
- Algorithms can be biased or even racist… if the people who create them are.
- Algorithms are fantastic tools for analyzing vast amounts of data and making predictions about the world — such as sales forecasts — but humans are still needed to interpret and act on those predictions.
Also see our advice on getting your workplace machine-learning ready: Machine Learning, AI and Change Management: 3 Ways Leaders Can Prepare Their Organization for Success.
The Dialectic team regularly meets to discuss books that contribute insights to our work designing e-learning, organizational change and customer experiences. Next up, we’re reading Cathy Moore’s Map It: The Hands-On Guide to Strategic Training Design.