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Robby Schwertner [LION] on LinkedIn: "Crypto crowd and #Artificial #Intelligence…

#artificialintelligence

They test their #artificial #intelligence bot #AIEVE who shall help people saving money with machine learning assisted trading for both short and longterm. Seems the system #CAN #predict developments of cryptos to next levels. Idea of #Peculium team is to assist people manage savings in a more long term view, the vid shows how it works for short term trading. It is still a long way to go but such steps are promising! "And never forget, every prediction has a level of errors", don t use it for crazy trading!


Fake news via artificial intelligence All media content DW 15.01.2018

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Software with machine learning and AI can forge deceptively realistic TV appearances by politicians. Researchers are sounding the alarm and calling for certificates of authenticity for pictures and videos.



Understanding artificial intelligence and machine learning in digital business

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The problem of learning and decision-making is at the core of human and artificial thought, which is why scientists introduced machine learning (ML) into artificial intelligence (AI). AI is a platform or solution that appears to be intelligent and can often exceed the performance of humans. It is a broad description of any device that mimics human or intellectual functions, such as mechanical movement, reasoning or problem solving. ML is a widely used AI concept that teaches machines to detect different patterns and adapt to new circumstances and can be both experience- and explanation-based. For instance, in robotics, ML plays a vital role by optimizing machine-based decision-making, which eventually increases a machine's efficiency by enabling a more organized way of performing a particular task.


NAB sees Amazon Alexa integration as pointing to the future of banking

ZDNet

The National Australia Bank (NAB) has announced integrating with Amazon Alexa, allowing customers to ask the voice-activated assistant certain questions about their bank account when the service goes live in Australia next month. According to executive general manager of digital and innovation Jonathan Davey, when looking at the way the bank thinks consumers will interact with technology over the next decade or so, voice activation is the clear forerunner. "We fundamentally believe as an organisation the way we need to be able to provide services to customers is changing and we're in a unique position where we're fortunate enough to be able to work with some of the most interesting and innovative companies around the world," Davey told ZDNet. Davey -- who oversees the bank's innovation arm, NAB Labs -- said that by partnering with the likes of Amazon and Google, NAB has visibility about how other organisations are reinventing the way consumers deal with service providers. Reflecting on his own use of voice assistants in his personal life, Davey said their presence starts to change people's behaviour.


Analysis: Artificial intelligence the new battleground for AWS

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IN A bid to further demarcate the battle lines between the world's largest cloud behemoths, Amazon Web Services Inc is betting big on artificial intelligence (AI) in the coming years, a strategy that is aimed at extending its already considerable lead in the industry. At the recently concluded re:Invent 2017 annual conference held at the Sands Convention Centre in Las Vegas in November for customers, partners, analysts and press, the one unequivocal thing on AWS' chief executive officer (CEO) Andy Jassy's (pic, above) mind was this: We have always led in the cloud and will continue our leadership through AI and machine learning. Jassy, who was promoted from senior vice president to CEO of AWS in 2016, said AWS continues to lead the market as an infrastructure-as-a-service (IaaS) player. Citing numbers from research firm Gartner, Jassy said AWS has captured 44% of the cloud market share in 2016, up year-over-year from 39%. The world's leading and largest cloud computing player was in a buoyant mood as Jassy set the tone of the conference by thanking all the attendees at re:invent 2017 – some 43,000 people, up 9,000 from last year's event – for keeping faith with the company and growing its user base further.


Seven apps and tools to organize your life

Popular Science

These days, every phone comes with its own digital helper. But even if you have access to Google Assistant or Siri, you should consider using Cortana as well, particularly if you work with multiple devices or own a Windows 10 computer. Just download the app, sign in with your Microsoft account, and let her organize your life. Cortana can take notes, write lists, and set task reminders. The latter can ping you at particular times of day or when you reach certain locations--for example, you might get an alert to buy flowers as soon as you pass your favorite flower shop.


Online Learning Guide with Text Classification using Vowpal Wabbit (VW)

@machinelearnbot

A large number of E-Commerce and tech companies rely on real time training and predictions for their products. Google predicts real time click-through rates for their ads. This is used as an input to their auction mechanism, apart from a bid from the advertiser to decide which ads to show to the user. Stackoverflow uses real time predictions to automatically tag a question with the correct programming language so that they reach the right asker. An election management team might want to predict real time sentiment using Twitter to assess the impact of their campaign.


Practical Tips for Success with Machine Learning

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In the last year, the hype around AI has been deafening. Despite a long hiatus in the AI research community without any major wins, we've made some amazing progress lately. From headlines about AI protecting our digital identities to driving our cars to even diagnosing our maladies, it seems like AI has been everywhere. Unless you have been living under a rock, chances are your feed has been littered with references to deep learning, convolutional neural networks (CNNs), recurrent neural nets (RNNs), or TensorFlow, each accompanied by a bold proclamation technology is about to solve everything from world hunger to health care. Ok, if you're not breaking out the champagne, I understand.


The technology behind AI in PPC

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I believe artificial intelligence (AI) will be a key driver of change in PPC in 2018 as it leads to more and better PPC intelligence. So far, I've discussed the roles humans will play when PPC management becomes nearly fully automated and six strategies agencies can take to future-proof their business. In this final post on the state of AI in PPC, I'll cover the technology of AI. AI has been around since 1956, and PPC has existed since the late 1990s. So why did it take until now for AI's role in paid search to become such a hot topic in our industry?