Latest AI Articles:

International Data Corporation reports that the global wearables market continued to grow in the second quarter of 2018 as shipments reached 27.9 million units, an increase of 5.5% year-on-year. This growth translated to $4.8 billion year-on-year for the quarter. Smartwatches continued to be the most popular wearables.

Reuters referenced a Stratistics MRC figure estimating the size of the business intelligence industry around $15.64 billion in 2016. It follows that AI would find its way into the business intelligence world. In our previous report, we covered 6 use-cases for AI in business intelligence. As of now, numerous companies claim to assist business leaders in the finance domain, specifically, in aspects of their roles using AI.

Event Title: Artificial Intelligence and Business Ethics: Friends or Foes?

Event Host: the University of Notre Dame, Mendoza School of Business

Episode Summary: We receive a lot of interest from business leaders in the domain of data enrichment, and we've executed on a few campaigns for these businesses. At the same time, our audience seems particularly interested in the collection of data to train a bespoke machine learning algorithm for business, asking questions related to how to get started on data collection and from where that data could come.

After plenty of deliberation, web development and research, we’ve finally rebranded to Emerj Artificial Intelligence Research.
I’m glad I finally won’t get any more “so when are you rebranding?” emails.
It sure did take more effort and development work than I had expected (lots of new features / functionality to build out), but it was well worth it.
My goal with this article is to provide our users and readers with a full breakdown of what’s new, and what to expect moving forward. The article below is broken down into the following sections:

We have identified three areas in finance where companies are applying AI to solve real business problems: fintech, regtech, and suptech.

Several factors have contributed to the advancement of AI in the pharmaceutical industry. These factors include the increase in the size of and the greater variety of types of biomedical datasets, as a result of the increased usage of electronic health records.

The clinical trial is a foundational pillar of the pharmaceutical drug discovery process. Essentially, clinical trials are research studies which seek to determine if a medical treatment or device is safe and effective for humans. While the pharmaceutical drug industry has experienced some fluctuations it remains a profitable market. Global prescription drug expenditures are estimated to reach nearly $1.5 trillion by 2021 according to Quintiles IMS Holding.  

In our previous report, we covered the current use cases for AI in construction and building. As of now, numerous companies claim to assist building maintenance managers in aspects of their roles from optimizing energy usage in building to improving the comfort of building occupants.

Episode Summary: Over the last year, we've covered a lot of marketing applications, including a survey of the landscape of machine learning in marketing applications and which industries will be affected first. But marketing doesn't tell the whole story when it comes to B2B sales. At some point, we need to take these clicks and turn them into appointments, for example.