What if I told you that companies that don't embrace Ethical AI are leaving significant amounts of "Money on the Table"; that they are not only missing out on potentially profitable customers, but that over time they are eroding their Total Addressable Market (TAM)? Do I have your attention now? After I published the blog "The Ethical AI Application Pyramid", a question from Karrie Sullivan coupled with a mentoring session with the startup unfog.ai "If your AI model doesn't take into consideration the ultimate outcomes of the AI model's False Negatives, then confirmation bias in the AI model could set in and eventually the company's Total Addressable Market (TAM) could shrink to a point where the business might no longer be viable." Yea, not only is Ethical AI the right thing to do from a cultural and society perspective, but there are direct bottom-line financial ramifications if your AI models are not learning and adapting from the AI model's False Negatives.

The rise of artificial intelligence (AI) will be one of the most important trends of the century. Companies that play leading roles in driving this incredible technology shift forward will likely see incredible business performance and deliver market-crushing returns for shareholders. With that in mind, ASML Holding ( ASML -2.30%) and ON Semiconductor ( ON -2.51%) stand out as top stocks for long-term investors looking to benefit from the AI revolution. Let's take a closer look at why these two companies are on track to facilitate and benefit from the dawning age of artificial intelligence. ASML's extreme ultraviolet lithography (EUV) machines are helping semiconductor manufacturers boost the number of transistors they can fit into a chip, opening the door for improved power and efficiency.

What if I told you that companies that don't embrace Ethical AI are leaving significant amounts of "Money on the Table"; that they are not only missing out on potentially profitable customers, but that over time they are eroding their Total Addressable Market (TAM)? Do I have your attention now? After I published the blog "The Ethical AI Application Pyramid", a question from Karrie Sullivan coupled with a mentoring session with the startup unfog.ai "If your AI model doesn't take into consideration the ultimate outcomes of the AI model's False Negatives, then confirmation bias in the AI model could set in and eventually the company's Total Addressable Market (TAM) could shrink to a point where the business might no longer be viable." Yea, not only is Ethical AI the right thing to do from a cultural and society perspective, but there are direct bottom-line financial ramifications if your AI models are not learning and adapting from the AI model's False Negatives.

What if I told you that companies that don't embrace Ethical AI are leaving significant amounts of "Money on the Table"; that they are not only missing out on potentially profitable customers, but that over time they are eroding their Total Addressable Market (TAM)? Do I have your attention now? After I published the blog "The Ethical AI Application Pyramid", a question from Karrie Sullivan coupled with a mentoring session with the startup unfog.ai "If your AI model doesn't take into consideration the ultimate outcomes of the AI model's False Negatives, then confirmation bias in the AI model could set in and eventually the company's Total Addressable Market (TAM) could shrink to a point where the business might no longer be viable." Yea, not only is Ethical AI the right thing to do from a cultural and society perspective, but there are direct bottom-line financial ramifications if your AI models are not learning and adapting from the AI model's False Negatives.

Over the past three years, NVIDIA Corporation's (NASDAQ:NVDA) share price has skyrocketed more than 870%, in part, because of the company's numerous growth opportunities for selling its graphics processors into the artificial intelligence (AI) market. AI, in particular, offers a lot of potential upside for the company not only because the artificial intelligence market is still in the early stages of growth, but also because NVIDIA is already leading in this space by selling graphics processors for AI servers and creating its CUDA computing platform. The CUDA platform allows developers to use NVIDIA's high-powered graphics cards for fast application processing on AI servers. CUDA recently caught the attention of Evercore ISI analyst, C.J. Muse, who said that NVIDIA has created "[T]he AI standard through CUDA and the significant developer lock-in that comes along with that," and that NVIDIA is "on the cusp of a tipping point in the company becoming the AI standard platform." So with the company's early moves in AI, and the recent comments by Muse on NVIDIA's artificial intelligence opportunity, should investors continue to bet on the company's AI potential?

The jury is still out on who the biggest AI winners in the enterprise space will be. So far, applying AI to enterprise has not made as much impact as people have expected. Cloud computing, for instance, has had far greater impact in the enterprise space than AI has. There's a huge opportunity to help other enterprises unlock the full potential of AI. Databricks, a company whose roots came from helping enterprises with big data processing, recently took a $140M round to make "Artificial Intelligence (AI) achievable for enterprise organizations with its Unified Analytics Platform." Databricks has a unique advantage in their recent move to become an AI platform company.