I had the honor of taking part in an episode of the IoT show, on the topic of how analytics, AI, and machine learning can help provide more insights into business and manufacturing. Here are some of the key questions and answers.
What if cities automatically improved over time as people used city services?
By analogy with autonomous electric cars, what are the capabilities and benefits of intelligent enterprises?
The traditional analytics maturity curve obscures some big differences between traditional analytics and more advanced use of predictive analytics and machine learning projects. Here’s a framework that helps make your next steps to analytic maturity clearer.
As quite a few companies have found out — data is indeed like oil: when spilled, creates a need for a toxic cleanup!
Tweets from Day 2 of Gartner Data & Analytics London, 2018
Summary of the Gartner Data and Analytics Conference day one – updated over time!
Why it’s critical for everybody to use my definition of key terms like Big Data. Not.
Artificial intelligence is poised to revolutionize most aspects of operational marketing — leaving more time for things like storytelling and community!
Which terms are hot and which are not in the world of analytics?