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John Chambers, Chairman of Cisco System 3. Welcome to the Digital Economy Compass 3 Less talking, more facts – our idea behind creating the Digital Economy Compass. It contains facts, trends and key players, covering the entire digital economy. This very first edition will provide everything you need to know about the digital economy. In a global comparison, broadband speed is fastest in East Asia and Scandinavia Source: Akamai Technologies Note: Figure refers to Q3-2016; countries covered: broadband ranking – 147 1: Megabits per second 10 Average broadband speed in Top10 and selected countries (in Mbps1) South Korea 1 Hong Kong 2 Norway 3 23.6 18.2 Sweden 4 20.1 18.4 20.0 19.7 The sevenfold increase in global mobile data traffic is mainly driven by online video streaming Source: Cisco System; figures include only cellular mobile traffic (Wi-Fi or small cell from dual-mode devices are excluded) Note: Other mobile devices include Tablets, mobile PCs, M2M (incl. Pokémon Go was the most popular mobile game for iPhone users across the globe In cooperation with 19 Most downloaded iPhone apps per category and country in 2016 Categories covered: Shopping, Music, News, Gaming, Social Networks U.S. PandoraAmazon CNN Pokémon Go Messenger China Kugou Music Taobao Toutiao WeChat King of Glory Germany SpotifyKleinan zeigen Spiegel Online Pokémon Go WhatsApp U.K. SpotifyeBay BBC News Pokémon Go WhatsApp France DeezerWish Le Monde Pokémon Go Messenger Connectivity 21. "If you make customers unhappy in the physical world, they might each tell 6 friends. If you make customers unhappy on the Internet, they can each tell 6,000 friends."

To better understand how people consume media and marketing via voice-enabled devices, Adobe is adding voice analytics to the Adobe Analytics Cloud. Today, the company is launching a service that will track how users interact with the tools that media companies and brands build for Amazon's Alexa, Google's Assistant and Apple's Siri. The voice analytics offering will also integrate Sensei, Adobe's artificial intelligence and machine learning service, which will be able to make sense of trends within massive data sets. For example, with the software, companies developing skills (essentially the voice equivalent of apps) will be able to track performance across devices, platforms and how it all fits into the overall customer journey. The market for voice-enabled devices and voice assistance continues to grow rapidly, thanks in large part to the popularity of Amazon Echo and Google Home. Sales of voice-enabled devices grew by 39 percent year over year, according to Adobe's analytics data, and a recent report from analyst Mary Meeker found that 20 percent of mobile search queries in 2016 were made by voice.

On one hand, it will help developers build smarts into products, and on the other, Sony is hoping that developers will "further build on the core libraries' programs," it writes. We gladly give props to Sony as an AI pioneer, but its current products like the aforementioned Xperia Ear, which uses the Siri-like Xperia Agent, are pretty rough compared to the Echo or Google Assistant. Specifically, we noted in our review that Sony's assistant doesn't have a very natural speaking voice compared to rivals, and isn't, well, very smart. However, Sony's AI offerings are certainly unique.

Voice speakers have been a growing market for companies like Amazon and Google. And thanks to a survey from Adobe Analytics Cloud, it's possible to see where the market should be going. Among the survey's key takeaways, the Amazon Echo series and the Google Home speaker saw its biggest jump in U.S. sales during the past holiday season. Adobe Analytics Cloud said three out of four speakers in the market's current install base were sold during this time. Smart home support has also played a role in the growth of the virtual speaker market.

A judge will decide if a lawsuit can proceed against a gay dating app after over 1,000 sex-hungry men accosted a New York man at home and work after an ex-boyfriend posted fake profiles. Grindr asked a Manhattan federal court judge Wednesday to toss out Matthew Herrick's claims. The company says the Communications Decency Act protects it from liability and Herrick should sue his ex-lover instead. Grindr says it can't be blamed because Herrick got "mixed up with a tech savvy, judgment-proof individual." Herrick sued Grindr, saying he couldn't stop a steady stream of unwelcome visitors despite roughly 100 complaints reporting the damage from dozens of fake profiles made in his name.

Artificial Intelligence and Machine Learning usually work best with a lot of horsepower behind them to crunch the data, compute possibilities and instantly come up with better solutions. That's why most AI systems rely on local sensors to gather input, while more powerful hardware in the cloud manages all the heavy lifting of output. It's how Apple's Siri and Amazon Alexa work, and how IBM Watson can tackle virtually any major task. It is, though, a limiting approach when it comes to making smarter Internet of Things and applying intelligence when there isn't Internet connectivity. "The dominant paradigm is that these [sensor] devices are dumb," said senior researcher with Microsoft Research India, Manik Varma.

Herrick sued Grindr, saying he couldn't stop a steady stream of unwelcome visitors despite roughly 100 complaints reporting the damage from dozens of fake profiles made in his name.

Imagine you're stuck in a hospital bed after having surgery. You can't even close the window blinds without a nurse's help. And you can forget about requesting a blanket to take off the chill or getting details on visiting hours when everyone's busy handling more-pressing matters. But what if you got what you needed just by saying it? You could instantly open the blinds, find out more about your doctor's expertise or turn up the room temperature.

Every serious technology company now has an Artificial Intelligence team in place. These companies are investing millions into intelligent systems for situation assessment, prediction analysis, learning-based recognition systems, conversational interfaces, and recommendation engines. Companies such as Google, Facebook, and Amazon aren't just employing AI, but have made it a central part of their core intellectual property. As the market has matured, AI is beginning to move into enterprises that will use it but not develop it on their own. They see intelligent systems as solutions for sales, logistics, manufacturing, and business intelligence challenges. They hope AI can improve productivity, automate existing process, provide predictive analysis, and extract meaning from massive data sets.