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) …
If finding information in the workplace is a manual hunt-and-peck exercise, and you keep adding more digital information to the mix, your employees are getting frustrated, and even worse, disengaged. After all, they are used to easy, intuitive search experiences in their personal lives with tools like Google, Alexa, and Siri. Yet when it comes to the workplace, the systems don't deliver that ease of use. Get the eBook How AI-driven Search Empowers the Digital Workplace to learn how AI technologies and cognitive search deliver a personalized, highly relevant experience for information access in the enterprise, and help you engage a modern workforce.
Looks like Apple lovers are going to have to wait a little longer for smart, room-filling sound. Per a report from CNBC, Apple announced on Friday it will delay the release of the HomePod, a smart speaker set to directly compete with the Amazon Echo, until early 2018. "We can't wait for people to experience HomePod, Apple's breakthrough wireless speaker for the home, but we need a little more time before it's ready for our customers," Apple wrote in an email to Mashable. "We'll start shipping in the U.S., UK and Australia in early 2018." Apple debuted the device in June at their Worldwide Developers Conference (WWDC), and originally planned to release the HomePod in December of 2017.
We hope you weren't counting on giving (or getting) a HomePod for the holidays -- Apple has delayed the release of the Siri-powered speaker from December to early 2018. In a statement, the company said it needed a "little more time" before the device was ready for its initial release in Australia, the UK and the US. It's not yet clear how this will affect releases in other countries (we've asked the company if it can elaborate), but we wouldn't be surprised if it pushed back their releases slightly as well. They were already being asked to wait until early 2018. You can read the full statement below.
Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. With a title like "What's new, Atlas?" for a video like this, you know that Boston Dynamics is just messing with us now: The game played out on a real set wherein Cozmo would roll through a series of trials, exploring rooms and solving puzzles which tested his ability to move, to place, stack, and turn blocks, and recognize faces and pets, testing Reddit's collective will to help him. Cozmo's quest: to gather three golden key cubes to be able to escape to Reddit's front page.
Use Machine Learning to boost IoT efficacy says Forrester. A new report from Forrester, "Put Data to Work in the Industrial Internet of Things" advises CIOs to leverage machine learning to turn the tsunami of data obtained in Internet of Things (IoT) deployments into actionable insights. Successful companies in the industrial sector that are doing this are not only predicting problems and opportunities before they occur but are also developing new revenue streams during their digital transformation. Large volumes of data are required to train and then exploit machine learning algorithms, and fortunately, that data is now easily accessible, especially as IoT gains traction in industries. Machine learning is becoming a powerful tool in efforts to win, serve, and retain customers.
At Google I/O this year, Google quietly introduced a new chatbot analytics platform called Chatbase, a project developed within the company's internal R&D incubator, Area 120. Today, that platform is being publicly launched to all, after testing with hundreds of early adopters including Ticketmaster, HBO, Keller Williams, Viber, and others. The idea behind Chatbase's cloud service is to offer tools to more easily analyze and optimize chatbots. This includes giving bot builders the ability to understand what works to increase customer conversions, improve the bot's accuracy, and create a better user experience. This data is available through an analytics dashboard, where developers can track specific metrics like active users, sessions, and user retention.
We are living in a world of data overload. From behavioral analytics to customer preferences, businesses now have so much data at their fingertips that they're unable to process and consume all of it in a meaningful way. This is where the magic of machine learning comes in. When applied to massive internal company datasets, machine learning technology can derive important insights and provide actionable recommendations and predictions at superhuman scale. But as automation, machine learning, and artificial intelligence technologies continue to show up in our daily experiences, more and more users are asking questions.
Everyone's excited about AI and machine learning these days, so new conferences are popping up everywhere. We've identified more than 150 events on our ultimate AI conference list, but which ones are actually worth your time? As a business leader, you want to learn about new technologies from experienced technical experts (not just talking heads) but also pick up practical machine learning strategies for applying them to your enterprise. After attending many AI summits as speakers, attendees, and press, we've compiled our favorite five events that strike the perfect balance between bringing you content from respected industry leaders while keeping information about applied artificial intelligence accessible and practical for non-technical executives. These are the best non-technical AI conferences to add to your 2018 business calendar.
Jane Zavalishina is the CEO of Yandex Data Factory. Vyacheslav Polonski is a PhD student at the University of Oxford and the CEO of Avantgarde Analytics. For years, experts have warned against the unanticipated effects of general artificial intelligence (AI) on society. Ray Kurzweil predicts that by 2029 intelligent machines will be able to outsmart human beings. Stephen Hawking argues that "once humans develop full AI, it will take off on its own and redesign itself at an ever-increasing rate."