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:
Garment and textile manufacturing have historically been labor-intensive industries, as seen in how many of world’s largest fashion, clothing and apparel brands seem to have a significant portion of their products manufactured in Asian countries such as China, India, Bangladesh, Vietnam, etc.
Supply chain management (SCM) is critical in almost every industry today - but it hasn't received as much focus from AI startups and vendor companies compared to healthcare, finance, and retail. Businesses are showing increased interest in AI applications, from its benefits to fully leveraging the vast amounts of data collected by industrial logistics, warehousing and transportation systems.
In early 2017, Amazon unveiled a new application of AI outside its online domain: Amazon Go, an artificial intelligence (AI)-powered grocery where there are no cashiers and checkout lines. Shoppers activate the store’s smartphone app upon entering the store, grab the items they need, and leave through the same “gates” they enter without pausing to pull out a credit card or cash. Their Amazon account is automatically charged for what they take.
AI and machine learning software are beginning to integrate themselves as tools for efficiency and accuracy within pathology. According to a March 2018 digital pathology report produced by Allied Market Research, such software enables the “procurement, management and interpretation” of information and can be applied to multiple functions within the field of healthcare.
This article is based on a presentation originally given by Daniel Faggella, CEO & Founder at Emerj (formerly TechEmergence) to a group of real estate executives at a Grupo4s "Future of Real Estate" event in San Francisco, in March of 2018.
Deloitte, EY, PricewaterhouseCoopers (PwC) and KPMG are among the largest service providers in the accounting industry— collectively referred to as the Big Four. Many of the financial and consulting services offered by these firms - such as advising on investment decisions - involve finding patterns in very large sets of data. This data is often beyond the understanding of a single person (or team of persons) and is often “noisy” and without a set format.