“I’m a guy, and I don’t ski. Why are you showing me pictures of a woman skiing?” I wish I could remember the name of the man who said this, because it is a great summary of the customer perspective of personalization. The implication is, he’d be more responsive to offers that featured guys doingContinue reading “The Right Questions for Personalization Success”
Author Archives: Sue Aldrich
Use Cases in Cloud Infrastructure Management
Well, with a snappy title like that, I expect I am now all alone in this room. 😉 My cloud research this year will be focused on use cases in two areas: consumption and service. I will delve into the tasks involved, and how commercially available tooling addresses those tasks. Consumption and Cost Management ApplicationContinue reading “Use Cases in Cloud Infrastructure Management”
Remodeling Infrastructure Management
We are in the throes of rewriting what IT infrastructure is. The shift to the cloud changes what we pay for, how we budget and plan costs, what is costly, what can be managed, what can be predicted, how quickly systems are deployed, how easily systems are moved or replicated or recovered. This means thatContinue reading “Remodeling Infrastructure Management”
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”
On Target 