ai executive guides Articles and Reports
Artificial intelligence “executive guide” reports are designed to help business leaders understand critical information about applying artificial intelligence applications successfully. Search our full set of executive guide reports below:
We discussed the difficulties large businesses may have in adopting AI in our previous article; despite this, last month we fleshed out the reasons why it’s still more difficult for small businesses to apply AI than the enterprise and how they might catch up to larger businesses in the future.
This article is based on a presentation given by Emerj CEO Dan Faggella at a recent conference “Artificial Intelligence and Business Ethics: Friends or Foes?” held at the University of Notre Dame.
The conversation about artificial intelligence and ethics ranges from the broad to the specific. On the one end, there are governments making laws and policies on national, state, and local levels. In the middle, you have industry-wide agreements on certain protocols on privacy expectations, ways of handling customer data, and other ethical considerations within the framework established by the government.
A few months ago, we spoke about three rules of thumb for assessing companies and trying to figure out if they are really doing AI or just using it for marketing purposes in our How to Cut Through the Artificial Intelligence Hype piece. Since it was so popular, I was inspired to write this follow-up.
Almost all young companies and companies in the start-up ecosystem today would like to talk about how they leverage AI or machine learning. In most cases, this is to make their product sound special and exciting. However, the fact is most young companies do not have the resources or the talent needed to leverage artificial intelligence in a way that would add to their value proposition.
Artificial intelligence and machine learning are hot terms right now, and many companies are eager to talk about how their products rely on these cutting edge technologies. Established companies and startups want to explain how AI is a critical part of their business.
AI is being likened to a "Fourth Industrial Revolution" because of it's potential for creating profound change in people’s lives, much like the invention of steam engines (First Industrial Revolution), electricity and mass production (Second Industrial Revolution), and the rise of the digital age (Third Industrial Revolution) had in the past.
It's easy to see the massive rise in popularity for venture investment, conferences, and business-related queries for "machine learning" since 2012 - but most technology executives often have trouble identifying where their business might actually apply machine learning (ML) to business problems.