How does Amazon recommend products you might be interested in purchasing? OR How does Netflix decide which movies or TV shows you might want to watch? OR How does Facebook or LinkedIn decide who might you want to form a link with? OR How does Udemy decide what courses to market to you? OR How does New York Times decide which news you might be interested in reading? How does Amazon recommend products you might be interested in purchasing?

It makes tomorrow different than yesterday. Technologies like IoT, AI, Cognitive, Cloud, Smart City, Connected Home, Mobile Pay, FinTech and more are all changing our world. Yesterday, they were a dream. Together, they are more powerful than you can imagine. In coming years, they will transform our world.

There is a point where we will blankly stare at our Amazon Alexa devices and wish that it wasn't so easy to order groceries and other retail goods. There has got to be some sort of alternative right? That alternative is Amazon Go, a new retail experience that proves that even Amazon knows that brick and mortar isn't dead yet. If you prefer not to stand in the middle of Walmart, softly crying to yourself at the muddled masses of humanity, but still like to physically go shopping then Amazon Go is the future you are waiting for. Amazon Go is a literal brick and mortar store, announced today.

If you got an Amazon Echo or Google Home voice assistant, welcome to a life of luxurious convenience. You'll be asking for the weather, the news, and your favorite songs without having to poke around on your phone. You'll be turning off lights and requesting videos from bed. That little talking cylinder is always listening to you. And not just listening, but recording and saving many of the things you say.

More broadly, we hope that MusicNet can be a resource for more creative tasks. Automatic music transcription, inferring a musical score from a recording, is a long-standing open problem in the music information retrieval community. Music streaming services traditionally make recommendations based on collaborative filtering and metadata (e.g. Recently, some services have begun to incorporate audio features into their recommendation engines. Features learned from the MusicNet labels might be useful for recommendation.

Cognitive computing is rapidly infusing every aspect of our lives. As 2017 approaches, the cognitive revolution--riding on artificial intelligence (AI), machine learning, and data science -- is coming home to roost more rapidly than many realize. Here are my predictions for the many ways in which you may encounter cognitive technology. Most e-commerce applications now include in-line chatbots that pop out automatically and/or at your request to answer your questions, recommend products for you to purchase, and otherwise make your customer experience more seamless and satisfying. Behind the natural-language conversational interface are cognitive algorithms that are built and tuned by data scientists through real-world experiments, A/B tests, machine learning, and predictive analytics assets in line to merchants' applications.

In 2017, major tech companies will continue their race to develop real-life artificial intelligence applications. According to Venture Beat, in the next year will emerge AI intuitive features and standards. Digital designers everywhere will start to recognize the AI trends. As consequence, voice interactions will greatly improve. The set of models and definitions created by developers today for voice interaction with assistants like Siri and Alexa will influence the field for a long time to come.

You probably caught video a few weeks back of Alexa speaking through Big Mouth Billy Bass, a singing fish that got popular in the late 1990s. If you haven't seen it yet, take a moment to watch and enjoy. The animatronic fish is a good reminder that Amazon's Alexa does not just come in speakers like Amazon Echo or Echo Dot. The Alexa Voice Service (AVS) can be used to put Alexa inside a wide range of devices, and since it's in the cloud, Alexa can operate without dependency on a local device for computing power. With Amazon deep learning services, the Lex bot framework, and a smarter Alexa Skills Kit announced at AWS re:Invent this week, people can expect to see and interact with Alexa in places way beyond an Echo or animatronic fish.

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Artificial Intelligence categories and how they compare with one another. These categories are comprised of companies that have reached maturity with significant financing. These categories are comprised of companies that have reached maturity with less financing. These categories are comprised of companies that are less mature with significant financing. These categories are comprised of companies that are less mature with earlier stages of financing.

Previously known mostly as a construct of science fiction, artificial intelligence (AI) is quickly becoming an everyday convenience. In fact, for most consumers, there's likely some form of it within arm's reach right now -- an AI ready to help with the most remedial of tasks. From basic personal assistants like Apple's Siri to sophisticated program's like IBM's Watson, AI systems are growing in their function and popularity and becoming a crucial central hub for the ever-expanding Internet of Things (IoT). And smart brands are latching on. Uber customers can order a ride by starting a conversation with the company's Facebook Messenger chatbot.