It isn't easy to capture the best shots in a golf tournament that is being televised. And that's why IBM is applying the artificial intelligence of its Watson platform to the task of identifying the best shots at The Masters golf tournament. For the first time at a sporting event, IBM is harnessing Watson's ability to see, hear, and learn to identify great shots based on crowd noise, player gestures, and other indicators. IBM Watson will create its own highlight reels. With 90 golfers playing multiple rounds over four days, video from every tee, every hole, and multiple camera angles can quickly add up to thousands of hours of footage.

With the explosion of technology in the digital space, customer expectations and website capabilities are constantly changing. As we approach the middle part of 2017, now is a good time to closely examine trends that will have the greatest impact on the industry this year. There are now more than a billion websites available, and the amount of data online has exploded from 130 exabytes in 2005 to an anticipated 40,000 in 2020. In response to the incredible amount of information available online, brands now compete with each other to provide customers relevant content. This has driven industry advancements and led to greater customer expectations from brands and their associated websites.

IBM's Watson is simply a question answering system. As its creators claim, it can understand, reason, learn and interact by incorporating machine learning techniques, natural language processing and automated reasoning. Right now, its achievements may seem ordinary, however, when it first came into existence around 10 years ago, they were simply astonishing. Since Watson can analyse large amounts of data, it can detect anomalies invisible to the human eye. What is more, it has been built in such a way to understand questions asked in natural language and give simple, yet detailed answers.

As an H&R Block tax pro and Enrolled Agent, I've seen just about everything that you can see in the tax world. From someone who tried to claim a cruise as a tax deduction and someone else who wanted to deduct their expenses from playing in a Fantasy Football League. Tax preparation sometimes gets a bad rap. People never seem to think of it as the most exciting career, as a job where you can be creative and use new technology to upend old ways of doing things. But that has never been my experience, and it will definitely not be my experience next week, when I get to see another first in the tax world: For the first time, I'll be working with a cognitive system to help customers "get their taxes won."

IBM Watson is a platform that represents a new era of computing based on its ability to interact in natural language, process vast amounts of disparate forms of big data and learn from each interaction. It is able to sift through and understand massive amounts of big data at unprecedented speeds to assist professionals in understanding data quickly and easily, while increasing knowledge and gaining value over time. IBM Watson is not only solution in this space, Digital Reasoning and several other players also have compelling offerings. IBM Watson just happens to have the most name recognition. Watson is a cognitive system that sifts through massive libraries of data to discover insights that can help its users answer simple to the most complex of questions.

I just returned from having the privilege of speaking at the IBMAmplify event dedicated to the future of cognitive technology and its impact on the world. I recently joined the IBM Futurist team, and while I was thrilled by the opportunity, I must say I wasn't 100% certain about the connection between me as a brand storyteller and AI. Well, after a week of reflecting on the experience, the answer could not be more clear. IBM is not just using Watson to transform the technological landscape. They are harnessing it to collaborate with the world's top leaders in business and government to find ways of making tomorrow better than today.

Intel announced late last week that it has formed a new AI group to consolidate a number of its programs and acquisitions. It's headed by Naveen Rao, the former head of Intel acquisition Nervana. This means Intel is making sure is has a major seat at the table as artificial intelligence and machine learning branch out to touch virtually everything -- from autonomous driving to IoT to enhancing corporate systems -- over the next 5-7 years. In the short term, the group will focus on research related to its software and hardware (Nervana, Xeon/Lakecrest chips and subsequent families) to deliver AI for drones and autonomous vehicles, smart cities, health care, personal appliances, etc. But I expect a longer-term play.

The conventional uses of keyword research and optimization have been on their way out ever since the Panda update of 2011 introduced a new mechanism for content quality evaluation. Google no longer provides direct keyword ranking data, and because of Hummingbird's semantic search introduction, the majority of queries are handled based on context, rather than specific wording. Voice search is accelerating context-based searches and results, which means your specific keyword research and keyword inclusion efforts are becoming less relevant than tactics like long-tail keyword research and topic-based optimization. When people were forced to type keywords into a search bar, it was easier to predict the types of terms they'd search for; people opted to list as few words as possible, and made fewer queries. With the ease of voice search, people are searching more frequently, and in less predictable ways.

I hope you enjoyed this tutorial! If you did, please make sure to leave a like, comment, and subscribe! It really does help out a lot! Links: "Tanmay Teaches: Watson" Playlist: https://www.youtube.com/playlist?list... Contact for Rob High, CTO & VP of IBM Watson: LinkedIn: Robert High Twitter: @rhigh Contact for IBM Watson: LinkedIn: The IBM Watson Group Twitter: @IBMWatson Contact: Email: tajymany@gmail.com

Create the new app as an App for Pages. Once the App has been created, you'll see the Product Setup View and here we select Messenger by clicking on Get Started. Then you'll see a Token Generation section where you need to select your Page from the dropdown. A Page Access Token will be generated so let's save it for later. This application is available as a Blueprint, a pre-built integration solution that can be deployed in your Stamplay account with minimum effort.