The top ten trends for analytics in 2019 by Innovation Evangelist Timo Elliott
Here’s a short recording explaining how the intelligent enterprises of the future can use the latest technologies such as machine learning to optimize the end-to-end customer experience, increase productivity, and improve workforce engagement.
The answers to some common questions about the upsides and potential downsides of machine learning in the enterprise.
What does the rise of artificial intelligence mean for the world of work? Ultimately, more jobs and more interesting jobs — but there will be challenges.
The good news is that AI can help find inefficiencies… The bad news is you may be one of them!
What can AI do better than your boss?
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.