AI applications have been deployed and used for industrial, government, and consumer purposes for many years. The experiences have been documented in IAAI conference proceedings since 1989. Over the years, the breadth of applications has expanded many times over and AI systems have become more commonplace. Indeed, AI has recently become a focal point in the industrial and consumer consciousness. This article focuses on changes in the world of computing over the last three decades that made building AI applications more feasible. We then examine lessons learned during this time and distill these lessons into succinct advice for future application builders.

Marketing and sales seemed to be much easier in the past. Customers simply visited a retail shop, where they could ask a knowledgeable salesperson about a product they discovered in a local newspaper. In recent years, the ubiquity of the internet and a state-of-the-art technology changed everything. Customers became prosumers, well informed about the product before the purchase. And what is even more important, customers frequently use a variety of channels: online and traditional stores, mobile apps, online auctions, price comparison websites, social media and more.

With the progressing year, the technology diversified ways in which we could communicate and retrieve the information from the pocket fitting devices. Technologies such as IoT, automation, and cognitive computing moved beyond the conceptual stages in 2016. As the year takes up, companies throughout the world are developing their business strategies. In order to move forward in the competition, companies are turning towards major investments in technology. The world's biggest consumer technology convention, CES is one of the best places to find a handful of key technologies. CES 2017 finished another spectacular year with pioneering technology trends including smart homes to self-driving cars. This year is assumed to bring transformative technology trends for us to explore and invest in. AI, also known as Artificial Intelligence has been studied for decades and now the vision of transforming insentient objects into intelligence is gradually becoming a reality. AI based Innovations are now pondering into the market and becoming part of our daily lives with quick adaptability. Artificial intelligence assists humans and handles the tasks flawlessly, without interrupting your comfort. Whether to set an alarm, or remind you of something important, or to play your favorite music or to read out general news for you or to find your phone, AI can make the task more convenient and smart. Sit back and relax while you command your device to do things for you.

Machine Learning is the new buzz word and AI is the slang word these days. What does happen in this exiting field in Europe? Is AI common ground for all businesses or the exclusive territory for a few? Who has managed to validate a business model for autonomous vehicles or chatbots?Whatdoesdata-drivenor API-firstbusinessmodelslook like? With this report we want to provide a comprehensive review of investment in startups and high-growth AI and Data Analytics companies across 22 countries in Europe.

The ride-hailing company announced Thursday that it's expanding to more than 50 additional US cities. USA TODAY Lyft's new Amp device sits on the dashboard of a vehicle, replacing the company's signature pink Glowstache. SAN FRANCISCO -- Is this Lyft's moment to really lift off? Uber, the company's larger ride-hailing rival, has been hit with a string of bad press lately related to a misbehaving CEO, claims of sexist supervisors, a report it deceived law enforcement and a lawsuit over allegedly stolen intellectual property. And that's all after a #DeleteUber campaign related to Uber's initial response to President Trump's immigration travel ban led 200,000 riders, according to a New York Times report, to dump the service. "Lyft is seeing some openings and they're making the most of them," says Karl Brauer, executive publisher of Autotrader and Kelley Blue Book.

HIMSS 2017 buzz centered on health data cybersecurity, but that hot topic of recent years' gatherings of the health IT universe simmered alongside emerging trends such as patient engagement and artificial intelligence and machine learning. The progression of healthcare IoT, or the Internet of Medical Things, is not without its challenges. Download a PDF of this exclusive guide now and learn how to overcome the obstacles: security, data overload, regulations, and more. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent.

Science & technology has leaped forward very fast in the 20th century. Innovators invented radio tuners and circuits and first robot in 1921. Now, immersive digital world connects people across the world, artificial organs have been created for our bodies and even self-driven cars has been rolled out. And we are still speeding towards new innovations and creativity every day. This will take the burden off the IT.

The explosive growth of video content on the Web has been revolutionizing the way people share, exchange and perceive information, such as events. While an individual video usually concerns a specific aspect of an event, the videos that are uploaded by different users at different locations and times can embody different emphasis and compensate each other in describing the event. Combining these videos from different sources together can unveil a more complete picture of the event. Simply concatenating videos together is an intuitive solution, but it may degrade user experience since it is time-consuming and tedious to view those highly redundant, noisy and disorganized content. Therefore, we develop a novel approach, termed event video mashup (EVM), to automatically generate a unified short video from a collection of Web videos to describe the storyline of an event. We propose a submodular based content selection model that embodies both importance and diversity to depict the event from comprehensive aspects in an efficient way. Importantly, the video content is organized temporally and semantically conforming to the event evolution. We evaluate our approach on a real-world YouTube event dataset collected by ourselves. The extensive experimental results demonstrate the effectiveness of the proposed framework.

Up, up and away: Dubai hopes to have a passenger-carrying drone regularly buzzing through the skyline of this futuristic city-state in July. The arrival of the Chinese-made EHang 184 -- which already has had its flying debut over Dubai's iconic, sail-shaped Burj al-Arab skyscraper hotel -- comes as the Emirati city also has partnered with other cutting-edge technology companies, including Hyperloop One. The question is whether the egg-shaped, four-legged craft will really take off as a transportation alternative in this car-clogged city already home to the world's longest driverless metro line. Mattar al-Tayer, the head of Dubai's Roads & Transportation Agency, announced plans to have the craft regularly flying at the World Government Summit. Before his remarks on Monday, most treated the four-legged, eight-propeller craft as just another curiosity at an event that views itself as a desert Davos.

There are various outlets publishing high quality articles about data science, analytics, big data, machine learning and related fields. Professional associations: ASA (Amstat News), IEEE/Spectrum, Informs Corporate blogs and magazines: IBM big data hub, Pivotal, Teradata, Tableau Niche publishers: Data Science Central (check our weekly digest series and our RSS feeds) Newsletter and journals from top universities: Harvard (see below), Wharton school, MIT Sloan school of business Mainstream journals: Wall Street Journal, The Guardian, Forbes, The Economist have journalists regularly covering big data and data science. Google guardian data science to find articles published in the Guardian. Mainstream journals: Wall Street Journal, The Guardian, Forbes, The Economist have journalists regularly covering big data and data science. Google guardian data science to find articles published in the Guardian.