The 6 biggest trends in #Fintech today - Chris Skinner's blog

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When someone sends me something interesting, I can't help but share it so this insight from Susan Visser came at just the right moment. Susan and I have exchanged various ideas over the years, so here's her view of the key Fintech trends. Data is having a tremendous impact on customer experience, and through enhanced insight is boosting customer profitability in the financial sector. Take a brief glimpse at six trends in which fintech innovation is steering imaginative and profound approaches to rich customer experiences for financial consumers. The biggest trend in fintech today is centered around improving customer experiences.


Former Google Engineer Develops Blockchain Core OS for Banks - CCN: Financial Bitcoin & Cryptocurrency News

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Paul Taylor, a former Google engineer and founder and CEO of UK-based Fintech startup Thought Machine, is developing a blockchain-centric operating system, Vault OS, a modern banking engine and core software that runs on the cloud. Before delving into the blockchain space, Paul Taylor held a prominent position at Google as the head of the text-to-speech group at the search giant, responsible for the speech recognition software used in over a billion Android phones and devices used around the world. A Cambridge University academic, Taylor began working on Vault OS over two years ago at a tech start-up hub in London. The inventor and executive has a notable expertise in speech synthesis, machine learning, and artificial intelligence, as evident from his tenure in Google. There is a need to uproot and change the legacy systems used by banks in an age when security and efficiency are fundamental to core banking principles and that's where Vault OS can help with an upgrade to the system, according to Taylor.


When you talk to Siri, Cortana and Google Now, who's listening?

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If you so choose, you can delete voice items one at a time or purge all of them from the same page, which can be found in the depths of your Google account online. Actually, deleting all your voice clips doesn't purge them from Google's system. On my Voice & Activity page, I find each spoken item presented with a button next to it, allowing me to play the voice command back or delete it entirely. I can see why companies like Apple and Google want to work with spoken commands because speech recognition can only get better when computers confront more and more speech.


The Exec Behind Amazon's Alexa: Full Transcript of Fortune's Interview

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Amazon's voice assistant Alexa has become a hugely popular and growing business. In fact, David Limp, an Amazon senior vice president who oversees Alexa and all of its Amazon devices, says that Alexa is rapidly adding "skills," with more than 1,000 people working on it. On Tuesday, at Fortune's Brainstorm Tech conference, Limp spoke to Fortune's Adam Lashinsky about the inspiration for Alexa (hint: Think Star Trek) and the origin of the name to where the business is heading. Here is the lightly-edited transcript. Dave Limp: The device business is less about building hardware for customers and more about building services behind that hardware. So the original vision of Kindle was to deliver any book ever written in less than 60 seconds, and that was all about creating a cloud-based service that had a great catalogue of books, great selection, and great prices. And as we've rolled out devices since then, everything from Fire TV to, as you mentioned, Echo and Alexa and everything in between, it's about creating that backend service that constantly improves and adds value for customers, and isn't just a gadget but instead a full end to end service that can benefit what customers want.


Artificial Intelligence Platforms for developers: speech recognition

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It was one of the strongest fields of development during 2015 and it will also be in 2016. It will certainly be one of the sectors generating most profits for years or decades to come. Imagine an area of hundreds of hectares of arable land, but few planted seeds. Companies like Google, Facebook or Microsoft take time to develop Artificial Intelligence products, generally linked to natural language processing and speech recognition. Some estimates state that the market for Artificial Intelligence-related applications alone will be worth 11.1 billion by 2024.