Russia has launched a civil case against Facebook and Twitter for failing to provide details about how they will comply with the country's data laws, according to local media reports. Communication watchdog Roskomnadzor said the social media firms had failed to explain exactly how local laws would be adhered to considering the companies both store data in centres outside of Russia. The Interfax news agency quoted the watchdog as saying that Twitter and Facebook had not explained how and when they would comply with legislation that requires all servers used to store Russians' personal data to be located in Russia. The agency's head, Alexander Zharov, was quoted as saying the companies have a month to provide information or else action would be taken against them. Russia has introduced tougher internet laws in the last five years, requiring search engines to delete some search results, messaging services to share encryption keys with security services and social networks to store Russian users' personal data on servers within the country.
If you've been following the news on exciting tech trends like artificial intelligence, then you're probably aware that emerging technologies are changing the way we work and interact with others. In fact, with things like machine learning and touch commerce becoming increasingly popular across every industry from banking to healthcare, technology is revolutionizing the way we do business and making high-tech approaches an integral part of our lives. We recently sat down with the team at Deloitte to find out how these trends are reshaping the career space. Here are the top five technology trends you need to know to work in any industry. One of the biggest tech trends to emerge in recent years is the Internet of Things.
Artificial intelligence promises to have a dramatic--and yes, disruptive--effect on U.S. education and jobs in the next decade. But that technology won't be entirely homegrown: Chinese companies, particularly those building products or services laced with the machine learning algorithms, are increasingly playing a role in the tools that we call "AI." There are few that understand what these forces mean for the world--and for education and learning--better than Kai-Fu Lee. Lee has been an enormously influential researcher, driving forward work on AI. Originally from Taiwan, he came the U.S. at age 11 and went on to earn degrees from Columbia University and Carnegie Mellon University. He then went on to work at Apple, Microsoft and Google, where he served as president of Google China.
In the middle of the historic city of Bristol in England, about 150 engineers are currently designing the most sophisticated computer AI chip in the world. The "Colossus" has 1216 processors fitted on a chip characterized by the size of a postage stamp. Designed specifically for artificial intelligence (AI) applications, the AI chip draws its name from the computer that was used by cryptographers at Bletchley Park during World War II. "[Colossus] was all top-secret for decades after the war, so the Americans thought they invented everything first. Now it is clear to the world that they didn't," claimed Simon Knowles, the inventor of the novel AI chip.
Two Princeton University computer science professors will lead a new Google AI lab opening in January in the town of Princeton. The lab is expected to expand New Jersey's burgeoning innovation ecosystem by building a collaborative effort to advance research in artificial intelligence. The lab, at 1 Palmer Square, will start with a small number of faculty members, graduate and undergraduate student researchers, recent graduates and software engineers. The lab builds on several years of close collaboration between Google and professors Elad Hazan and Yoram Singer, who will split their time working for Google and Princeton. The work in the lab will focus on a discipline within artificial intelligence known as machine learning, in which computers learn from existing information and develop the ability to draw conclusions and make decisions in new situations that were not in the original data.
It's a bright September morning in San Carlos, California, and Masayoshi Son, chairman of SoftBank, is throwing me off schedule. I'd come, as he had, to meet with the people he's tapped to run the Vision Fund, his $100 billion bet on the future of, well, everything. After almost four decades of building SoftBank into a telecom conglomerate, Son, an inveterate dealmaker, launched this unprecedented venture two years ago to back startups that he believes are driving a new wave of digital upheaval. He has staked everything on its success–his company, his reputation, his fortune. We'd both arrived with the same basic question: Where is this massive vehicle heading? But because I wasn't the one footing the 12-figure allowance, I understood that I'd be the one to wait. When I finally arrive at the Vision Fund's offices, just off California's Highway 101, I'm struck by how mundane they are. Son is known for big, showy statements. He reportedly paid $117 million for a home in Woodside in 2013, the highest price ever in the U.S. This glass and concrete building, on the other hand, could be found in any part of suburban America. The room where I wait is spartan.
Business-to-consumer (B2C) businesses have made it a priority to incorporate machine learning into customer-facing functions, integrating it into sales and marketing. For business-to-business (B2B) companies, however, translating data into actionable marketing strategies can be a more difficult proposition. Selling to organizations invariably requires embarking on a much longer and more complex journey, culminating in an order of much higher value than in the consumer realm. With hundreds of thousands, if not millions, of dollars at stake, a misguided marketing investment could lead to financial losses. "The availability of data and the importance of having the focus on the full customer journey is coming a little later to the B2B world," says Laura Beaudin, a partner at Bain & Co. "A lot of expectations in terms of customers manifested themselves in the consumer world before they brought those expectations to their business-purchasing world."
With more and more artificial intelligence (AI) solutions emerging each year, it's safe to say that this technology is here to stay. Statista predicts that the global AI market will be worth more than $10.5 billion by 2020, and forward-thinking businesses continue to incorporate AI into their everyday operations in the form of automation and customer service chatbots. If your business hasn't yet jumped on the AI bandwagon, you might be wondering what you're missing -- and whether you really need to find out. While it's true that many businesses have found worthwhile use cases for this technology, it may not necessarily be the right time for your company to explore AI. According to Forbes Technology Council members, here are nine questions to determine if artificial intelligence is a smart investment for your business right now.
Facebook announced on Sunday that it will help create an independent ethics research center for artificial intelligence (AI) with the Technical University of Munich (TUM). The technology giant said it will provide $7.5 million over five years as "an initial funding grant." With the AI industry growing at unprecedented levels, its use and impact have come under increased scrutiny, with some experts warning of the potential for unexpected consequences from its application. Technology companies, including Facebook and Google, have come under significant pressure from governments and research institutes to do more to protect people affected by AI applications. "From Facebook potentially inciting ethnic cleansing in Myanmar, to Cambridge Analytica seeking to manipulate elections, to Google building a secret censored search engine for the Chinese, to anger over Microsoft contracts with (US Immigration and Customs Enforcement) to multiple worker uprisings over conditions in Amazon's algorithmically managed warehouses -- the headlines haven't stopped," said New York-based research institute AI Now last month.
A NEW commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil. Now similar concerns are being raised by the giants that deal in data, the oil of the digital era. These titans--Alphabet (Google's parent company), Amazon, Apple, Facebook and Microsoft--look unstoppable. They are the five most valuable listed firms in the world.