The Future of Machine Learning

Row of Trees 3 by Charles Plaisted Interview with Tom Mitchell 12/15/16 Having read Tom Mitchell’s great article “Machine learning: Trends, perspectives and prospects” published in Science in July 2015, I wanted an update. He graciously submitted to an interview. Tom M. Mitchell is a computer scientist and E. Fredkin University Professor at Carnegie MellonContinue reading “The Future of Machine Learning”

Evolution to Personalization: 3 Maturity Levels

How will you mature your digital marketing? If you expect to excel in your market via superior customer experience, targeting, or personalization, you need a culture of optimization – measuring, improving, and predicting. The strategy of using audience data to improve customer experience and optimize results has become this decade’s gold rush — for marketersContinue reading “Evolution to Personalization: 3 Maturity Levels”

3 Foundations for Personalization

“Personalization” online has its roots in the mid-90’s, when industry leaders such as HP and Wells Fargo had big buttons on their home pages, “PERSONAL” and “COMMERCIAL.” From today’s perspective, that’s pretty lame: those categories represent myriad audiences and personas with very different needs. To meet today’s customer expectations, marketers need to recognize dozens, hundreds,Continue reading “3 Foundations for Personalization”

Digital Transformation: Turnaround at Malaysia Airlines

[with co-author Patricia Seybold, CEO Patricia Seybold Group] Leaders in digital transformation foster a culture of experimentation, customer experience management supported by mature optimization programs, and measurements relevant to their goals. They demonstrate how an integrated platform, skilled people, and mature optimization capabilities are the keys to success. One such leader is Dean Dacko, SVPContinue reading “Digital Transformation: Turnaround at Malaysia Airlines”

Digital Transformation Leader: Suncorp Group

Leaders communicate the path; followers must interpret.  Leaders in digital transformation foster a culture of experimentation, customer experience management supported by mature optimization programs, and measurements relevant to their goals. They demonstrate how an integrated platform, skilled people, and mature optimization capabilities are the keys to success. One such leader is Murray Howe, Executive ManagerContinue reading “Digital Transformation Leader: Suncorp Group”

The Catastrophe of ML Success

It may be unclear that your ML path is a dead end. Cape Palliser, New Zealand So you’re exploring a gnarly problem using MLaaS (machine learning as a service), and you create a model of amazing accuracy and precision. It will be huge for strategic advantage. This is fantastic, way outside expectations. What next? After youContinue reading “The Catastrophe of ML Success”

The Only Big Data Strategy You’ll Ever Need

ETL in the days before data was invented. Keys Ranch, Joshua Tree National Park, CA “What should our Big Data strategy be?” seems about as useful a question as “What should our Telephone strategy be?” Let me suggest that your big data strategy should be to ask, “Where can better information significantly impact achievement of our strategy?” ThenContinue reading “The Only Big Data Strategy You’ll Ever Need”

Data Science CSF: Commitment from the Top

Trolling for powerful backers. Wellington, New Zealand Committment from the top is critical to the success of data science initiatives. Not surprising, since most efforts that have a broad impact in an organization need that commitment. Commitment means that top management places enough priority and value on the initiative that its resources (time, attention, labor, capital,Continue reading “Data Science CSF: Commitment from the Top”

Big Data Bungee Jumping

The Kawarau Bridge Bungy, pictured here, is the earlist commercial bungy operation. Queenstown, New Zealand Applying data science to business, and bungee jumping, have too much in common. There is the committment from the top — in bungee, that’s your brain — that you’re going to make the jump. WIthout this committment, you are going nowhere,Continue reading “Big Data Bungee Jumping”

Predicting the Past

Predictions are guesses about the past, present, or future. Prediction is not reporting: reporting is an organized recap of what is known. Why predict the past? Predicting the past is the starting point for predicting the future. Wait, don’t we know what the past is/was? Not usually. For example, economic events are so hard to identify and measureContinue reading “Predicting the Past”