AI Sector Overviews Articles and Reports

Artificial intelligence “sector overview” reports are designed to help business leaders explore the possibilities and important AI trends across industries. Search our sector overview reports below:

AI for Speech Recognition - Current Companies, Technology, and Where Its Headed 1

AI for Speech Recognition – Current Companies, Technology, and Trends

Speech recognition is technology that can recognize spoken words, which can then be converted to text. A subset of speech recognition is voice recognition, which is the technology for identifying a person based on their voice.

Stock Brokerage Firms and Artificial Intelligence - Current Applications

Stock Brokerage Firms and Artificial Intelligence – Current Applications

Stockbrokerage might be viewed by investors as a traditionally human-based service allowing them to buy and sell equities. When looking at the shift in how stock brokerage is different today compared to the early 2000s, the largest change seems to be in software-based automation. Put simply, a lot of what was being done by humans (such as executing trades, giving advice to investors, discretionary trading) can now be done through software.

Artificial intelligence in Telemedicine and Telehealth - 4 Current Applications

Artificial intelligence in Telemedicine and Telehealth – 4 Current Applications

Telehealth (or Telemedicine) is a growing sector of the healthcare industry which has steadily gained traction and formed a profitable sector, according to Transparency Market Research. The market research firm projects that total US revenue will hit $19.5 billion in 2025 up from $6 billion in 2016.

The State of AI Applications in Healthcare – An Overview of Trends 4

The State of AI Applications in Healthcare – An Overview of Trends

This article is based on a panel discussion facilitated by Emerj (Techemergence) CEO Dan Faggella on the state of AI in the healthcare industry. The panelists were Just Biotherapeutics Chief Business Officer Carolina Garcia Rizo (representing healthcare startups) and Senior Manager for A.I./Machine Learning at Bayer Kevin Hua (representing big pharma). This session was part of the Applied Artificial Intelligence Conference by Bootstraps Labs held in San Francisco on April 12, 2018. The video of the panel is provided below:

Personalized Marketing with AI - 8 Current Applications

Personalized Marketing with AI – 8 Current Applications

In a study from Researchscape International, 74 percent of 300 marketers surveyed said personalization in this field has strongly helped their clients or companies in advancing customer relationships. It also found that 54 percent said their clients or companies experienced a 10 percent increase in sales, while 13 percent of marketers surveyed reported a more than 30 percent lift.

Machine Learning for Nursing - 8 Current Applications

Machine Learning for Nursing – 8 Current Applications

With an ongoing nurse shortage in the United States and other areas, startups and global companies have begun developing methods for handling time-consuming responsibilities traditionally held by nurses, ranging from daily operations to diagnosis.

AI for Virtual Medical Assistants - 4 Current Applications 1

AI for Virtual Medical Assistants – 4 Current Applications

Virtual assistants operating in response to voice or text interactions have steadily gained traction and formed a profitable sector, according to Research and Markets. The market research firm projects that total revenue will hit $15.8 billion in 2021 up from $1.6 billion in 2015. The firm also estimates that total global consumers will reach 1.8 billion by 2021.

Machine Learning for Marketing Agencies - Current and Future Applications

Machine Learning for Marketing Agencies – Current and Future Applications

A collaborative report by Moore Stephens and WARC estimated the size of the martech industry around $34.3 billion dollars in 2018. It follows that AI would find its way into the marketing world. Marketing experts agree that AI will have a significant impact on the marketing world in the coming years. As of now, numerous companies claim to assist marketers in aspects of their roles from garnering insights from dashboards to automating spend on ad networks.