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?
What’s the easiest way to get started with Artificial Intelligence in the enterprise?
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.
What can machine learning bring to analytics? Listen to Andy Bitterer and I discuss this hot topic in an #askSAP live Facebook Chat.
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?
Artificial intelligence and machine learning has created hundreds of new opportunities to optimize business. But what’s the easiest way to get started? What’s the “low-hanging fruit” — the applications for artificial intelligence that involve the biggest benefits for the lowest costs in the least time? It’s typically not about expensive data scientists trawling through data …
CEOs say they’re in charge of analytics — but what’s the real barrier to more adoption?
How can you tell the difference between real and fake artificial intelligence?