Summary: Based on a McKinsey study we reported that 47% of companies had at least one AI/ML implementation in place. Looking back at the data and the dominance of RPA...
Every dataset contains a “Where” component. For organizations that need to use location to drive their business, it is critical that they can unlock the Where in thei...
If you’ve read your fair share of tech press, you’ve certainly been exposed to breathless forecasts about the promise and power of artificial intelligence. The thing ...
By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Dated June ...
Summary: 99% of our application of NLP has to do with chatbots or translation. This is a very interesting story about expanding the bounds of NLP and feature creation...
Welcome to Data Science Central’s three-part Podcast Series sponsored by SAS, entitled, “Addressing Key Challenges to Applying AI in Practice.” In this ...
The cost of exploring and implementing AI technology can be significant. Some of this cost is associated with gathering and digitizing data and procuring software and har...
Modern machine learning is gaining traction across a wide range of industries. However, depending on the application of these analytical models, they can be subject to a ...
Summary: Adoption of AI/ML by larger companies has more than doubled since last year according to these survey results from McKinsey and Stanford’s Human-Centered AI ...
Across industries, data scientists are creating powerful models and analytics to solve urgent business problems. However, in far too many cases, these analytics never rea...