If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Citi Ventures, Salesforce, Tencent Holdings, and NVIDIA GPU Ventures were frequently spotted in the deals we investigated, while VC firm Kleiner Perkins Caufield & Byers and private equity firm Warburg Pincus were common co-investors. The unicorn startup (valued at $1.2B) welcomed Roche Venture Fund -- the CVC arm of the healthcare company Roche -- into its ownership in its $175M Series C, which is the company's largest raise to date. At the heart of the platform is "Neuralytics" -- the company's big data, predictive analytics, and artificial intelligence engine -- which leverages sales interaction data from across the company's global network to make predictive and prescriptive recommendations (with the aim of shortening sales cycles and improving internal sales processes). In the startup's $100M Series C in Q3'15, IT firm Rackspace Hosting participated alongside CVC capitalG (formerly Google Capital) and follow-on investors Accel Partners and Warburg Pincus.
Nvidia has benefitted from a rapid explosion of investment in machine learning from tech companies. Can this rapid growth in the use cases for machine learning continue? Recent research results from applying machine learning to diagnosis are impressive (see "An AI Ophthalmologist Shows How Machine Learning May Transform Medicine"). Your chips are already driving some cars: all Tesla vehicles now use Nvidia's Drive PX 2 computer to power the Autopilot feature that automates highway driving.
There are plenty of headlines about how artificial intelligence (AI) is transforming everything from smartphones to our cars, but understanding how exactly to benefit from AI as an investor can be a little harder. AI encompasses a lot of different technologies, like natural language processing (when Google Assistant understands what you're saying), machine vision (semi-autonomous cars knowing the difference between a lamppost and a pedestrian), and even suggesting the next show you should watch (although if an AI suggests HBO's Westworld, you should be suspicious). All of these examples are more than just algorithms that make decisions. They're computing systems that actually learn while they're working. To help you get started in your AI investments, here are five things you should know before jumping into the space.
While AI (artificial intelligence) has been around since the 50's, IBM was the pioneer in the latest AI cycle with their own custom solution dubbed Watson. Ever since the introduction of Watson and its ability to beat Jeopardy Champion Ken Jennings, the company has been increasing its investment in the space. IBM Watson is now an entire division of the company which indicates the importance they put on the future of AI. Watson is only one part of IBM's AI investment which I consider the "easy button" for those enterprise who don't want to create everything from scratch. IBM also has DIY (do it yourself) infrastructure for cloud providers through POWER8, OpenPOWER, OpenCAPI, designed for cloud giant rolls their own AI software. But what about enterprises who are in the middle, those who want solid infrastructure and want to invest in the latest deep neural network frameworks?