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:
One of the biggest problems facing business executives when it comes to adopting AI is determining whether a company is truly leveraging AI or simply using the term as a marketing strategy. We have discussed rules of thumb for assessing the authenticity of AI companies in previous articles based on insights derived from hundreds of interviews with industry experts and AI researchers over time.
Something that dawned on me very early on in reading biography and history is that incentives rule the world, that company's, nations, individuals ultimately do things primarily for their own self-interest. And there's nothing inherently wrong with that, but it's important to bear it in mind.
If one tunes into social media, it's easy to be convinced that every AI startup is making a lot of money, making a big difference in the companies that they're working with, and driving real revenue. However, as we've mentioned many times here at Emerj, most AI applications are really in pilot mode.
Finding the right people to do a job has always been a problem, especially when it requires a high level of expertise. Hiring professionals (84%) are relying more and more on social media to find the right talent, and B2B executives often look to LinkedIn for leads when it comes to finding the right companies to provide crucial services. It is no wonder that people and companies hoping to catch their attention make a point of putting up a robust profile on LinkedIn. However, businesses looking for companies to provide artificial intelligence services need to look at these profiles carefully.
Most of the time when we have requests for speaking engagements here at Emerj (formerly TechEmergence), they're from business leaders. At the time this article was published, I just came back from a presentation at National Defense University in Washington DC. Presenting there was unique in many regards. Obviously, the use cases for tanks and submarines are quite different than they are for drug development or selling more products off retail shelves.
We have discussed the importance of having the right talent in place when it comes to AI adoption in enterprise quite thoroughly here at Emerj. The scarcity of data science talent and its price point are one of the main reasons small businesses are not likely to adopt AI successfully at this time.