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 at Apple

Artificial Intelligence at Apple – Two Current Applications

Founded by Steve Jobs, Ronald Wayne, and Steve Wozniak in 1976, Apple is a global technology corporation specializing in consumer devices, software, and online services. 

AI at General Electric

Artificial Intelligence and Digital Twins at General Electric

General Electric (GE) was founded in 1889 by J.P. Morgan and Anthony J. Drexel who came together to finance Thomas Edison’s research and merge their companies together. Originally, GE was an industrial and consumer products company but today, more than 130 years later, GE has transformed itself into a multinational, digital industrial corporation ranked as the 33rd largest company in the United States by gross sales in 2020, according to Fortune 500.

Artificial Intelligence at Coca-Cola

Artificial Intelligence at Coca-Cola – Two Current Use-Cases

Today, Coca-Cola is the world’s largest beverage company, selling over 500 soft drinks in more than 200 countries. In 2020, Coca-Cola had over 80 thousand employees worldwide.

The AI Behind DeepMind's Alphafold 950x540

The AI Behind DeepMind’s AlphaFold – and its Implications for the Future of Drug Discovery

This is a contributed article by Kristóf Zsolt Szalay. Kristóf is Founder and CTO at Turbine.AI, and holds a PhD in molecular biology and bioinformatics. To inquire about contributed articles from outside experts, contact editorial@emerj.com.

Deploying a Chatbot in Financial Services

Deploying a Chatbot in Financial Services – Strategic Considerations

Our AI Opportunity Landscape research clearly demonstrates how chatbots are relatively over-hyped in the marketplace, and most buyers drastically overestimate their effectiveness as a result. Some of our press releases about the bloviated claims about chatbot deployments have ruffled the feathers of conversational interface vendors.

Understanding Predictive Maintenance in Manufacturing

Understanding Predictive Maintenance in Manufacturing

The hypothesis is simple:

Equipment breakdowns or downtime is extremely expensive (imagine a train broken down on isolated tracks, hundreds of miles from the nearest depot)
Heavy equipment (engines, wind turbines, manufacturing machines) produce various streams of data (heat, vibration, time-series, etc)
Machine learning could be used to detect "failure patterns" in that data, helping businesses to maintain equipment health more effectively

AI in the Hospital Settling

AI in the Hospital Setting – Challenges and Trends

This article is based on a presentation at the 2017 AI Applications Summit conference in Boston, entitled “Artificial Intelligence in the Hospital Setting” (slide deck embedded below) delivered by Emerj CEO Daniel Faggella - updated with recent insights and interviews from Emerj's podcast and AI Opportunity Landscape data.

The Principles of AI Governance

The Principles of AI Governance – with Karine Perset of the OECD

We interviewed Karine Perset, from the OECD Directorate for Science, Technology and Innovation in France about the informational pillars that make up strong AI governance for governments worldwide. She offered us numerous insights into how the OECD developed the AI Principles and works with governing bodies to design policies that will keep AI safe and trustworthy into the future.