Companies to Invest in for A.I. / M.L. Profits
In 2017 we could not get away from the conversation around artificial intelligence. Is it good, is it bad, will it take our jobs, or will it help solve the world's problems? There are conflicting answers for all of the questions posed, but the reality of artificial intelligence and machine learning is that it is here. The technology that seemed far, far away is here. Our apps, software, smart phones, cameras, cars, and smart speakers, are no longer just reacting, they are learning our behavior and adapting to the way we use them.
We attempted to explore who has the inside track on artificial intelligence. We looked for a company or companies who we felt would really move the development of AI/ML forward. A company that would also be able to use their AI/ML developments to increase revenue or decrease expenses. We needed to know outside of the phone assistants and speakers where do companies like Apple, Google, Facebook, Twitter, Amazon, Microsoft, Nvidia, Qualcomm, Broadcom, Intel and a host of others stand in the world of artificial intelligence.
Here is a list of 17 companies that we took a look at regarding their involvement with AI/ML technology. These aren't comprehensive break downs of these companies, just a peak into their windows. You can find out more about what these companies are doing with AI/ML at their websites.
1. Apple (AAPL): Apple has been one of the world's favorite consumer brands for over a decade. Apple acquired Regaind, a company whose technology can figure out the content of a photo and the photo's technical and aesthetic value using A.I. Apple's neural engine in the A11 chip is tuned to accelerate certain artificial intelligence software. Apple has been rumored to be working on self-driving technology then not to be working on self driving technology, so there is no telling where the company is with that venture or if they are even pursuing that venture. It appears that whatever AI developed by Apple will be used to better the iPhone, iPad, Apple Watch, HomePod, and the user experience for Apple product users. That should result in continued sales of Apple products.
Source: Amazon AWS
2. Amazon (AMZN): Comprehend, SageMaker, Rekognition, Translate, Transcribe, Lex, are all machine learning products offered by Amazon to its Amazon Web Services clients. Sagemaker for example allows developers and data scientist to build, train, and deploy ML models at any scale. Comprehend uses ML to find insights and relationships in text. Amazon is using it's AI/ML platform to gain new customers for it's AWS service, which has become a big part of Amazon's business.
3. Baidu (BIDU): Baidu who is seen as the Google of China is all in on artificial intelligence. Baidu's Apollo, which is described as the Android of the autonomous driving industry is a way for the company to partner with other companies interested in developing autonomous driving technology. Some of Baidu's partners in Apollo include Chinese auto companies Chery, Changan and Great Wall Motors, as well as Bosch, Continental, Nvidia, Microsoft Cloud, Velodyne, TomTom, UCAR and Grab Taxi.
4. Broadcom (AVGO): Broadcomm's $130 billion bid for Qualcomm is seen by many as a $130 billion buy in to the artificial intelligence conversation. See Qualcomm below.
5. Facebook (FB): Facebook made news when it announced it had discovered two artificially intelligent programs talking to each other in their own language. The company didn't release what the programs we're talking about (Skynet theorist insert comment here). Facebook has committed to AI by opening three AI labs around the world. It has also used the acquisition route to acquire AI technology. Facebook acquired Ozlo, with the plan that Ozlo's AI tech can make messenger smarter with a virtual assistant. Other AI firms acquired by Facebook are Masquerade Technologies, Zurich Eye, Fayteq AG, and FacioMetrics. Facebook has already implemented AI to it's platform to enhance the user experience on the platform. With what they've committed to AI so far I expect there is more to come from Facebook.
6. General Electric (GE): Anyone paying attention to the equity markets or business news knows G.E. has a lot of problems to deal with, but that hasn't stop the company from understanding the importance of AI/ML technology. Late last year G.E., specifically G.E. Healthcare announced a partnership with Nvidia to bring artificial intelligence to it's 500,000 image devices. In 2011 G.E. acquired the company Smart Signal to provide supervised learning models for remote diagnostics and in 2016 G.E. acquired Wise.io for the firms unsupervised deep learning capabilities.
7. Google (GOOGL): Google is our top bet to win the artificial intelligence / machine learning race. Waymo, Google's autonomous car initiative appears to be close to a fully autonomous vehicle. In late 2017 Waymo started sending out it's autonomous vehicles without the safety driver. Analyst beleive that Waymo is close to bringing a commercial product to market. Then there is DeepMind, the London based AI company Google acquired in 2014 and the creator of AlphaGo. DeepMind has signed partnerships with hospitals to allow their AI technology to assist medical professionals. The rave reviews received by Google's Pixel 2 phone was partly due to the AI/ML camera management system, which allows the phone to take amazing photos. There is also Tensor Flow, developed by the Google Brain Team. Here is an interesting read on how machine learning helped a cucumber farmer. There is a lot going on at Google to be excited about when it comes to AI/ML.
8. Intel (INTC): Intel and Mobileye's EyeQ4 system is now in over 2 million vehicles. EyeQ4 is the company's mapping solution for its autonomous vehicle initiative. The technology can be found in BMW, VW, Nissan and other vehicles. Intel says that it has Level 2+ and Level 3 design contracts in place with 11 carmakers so far.
9. Micron (MU): Micron Technology might not be a name you think of when it comes to artificial intelligence, but they have been a big part of AI development. Micron has found its place in the AI race by providing memory chips needed for AI development. Nvidia, who is involved in the development of the microchips for autonomous vehicles and AI/ML tech for G.E. has been using Micron's memory chips.