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Automation, AI among key takeaways for security execs, ecosystem ZDNet

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Automation, artificial intelligence and machine learning were key themes at the Structure Security conference in San Francisco. For business tech leaders, the bottom line is that security and automation are blending together. The trick for tech buyers will be to sort through what platforms are legit vs. mere marketing and buzzwords. Jay Leek, chief information security officer at private equity firm Blackstone, said his company started an effort to automate investigations, rote security tasks and other items in a bid to alleviate a security talent crunch and boost productivity. The upshot: Leek's security analysts do more high value work and initial investigations now take 40 seconds.


The six ways machine learning is driving profits in the enterprise

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The introduction of connected machines into industrial environments has raised quality standards, led to increased profits and improved the maintainability of both manufacturing equipment and end products. Manufacturers that have integrated their production floors with other aspects of the business (including design, sales and supply chain) are seeing the largest benefits as the machine learning aspect of connected networks trickles into all areas of the business. Here is a look at six ways machine learning is impacting industrial business. One clear indicator that machine learning and artificial intelligence are coming together to improve customer relationship management is Salesforce's acquisition of several Machine Learning and AI companies. Since 2014, Salesforce has acquired six AI and Machine Learning companies including: RelateIQ, TempoAI, MinHash, PredicitonIO, MetaMind and Implisit Insights.


TensorFlow Serving practical introduction. – OSL Engineering

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TensorFlow has been open to the public for about a year now and the buzz is real. Everyone is building models using TensorFlow, and we even have some state of the art examples such as: Parsey McParseface. As a data scientist at Old Street Labs(OSL) one of the most common questions I'm asked is how we deploy models and manage those in a production environment. TensorFlow Serving makes it simple and quick to deploy your models into a production environment. It also works with TensorFlow models out of the box without much modification. The purpose of this tutorial is to provide a brief introduction into TensorFlow Serving by walking through the process of deploying a TensorFlow model inside a Docker container.


Artificial intelligence is the next giant leap in education - Raconteur

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Glancing around school classrooms in 2016, it's easy to miss just how far technology has transformed learning over the last decade. The desks, whiteboards and rows of chairs are the same, but so much else has changed that can't be seen. A third of Britain's schools are asking students to bring their own tablets and laptops into the classroom now, coding has been on the national curriculum for three years, and more and more education is happening outside school through apps and digital services. But these changes are just the start. Artificial intelligence (AI) is the next giant leap in learning and, according to those working in the field of education and technology, we haven't seen anything yet.


RBS is launching an A.I. chatbot called 'Luvo' to help customers

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Royal Bank of Scotland (RBS) is launching a new online "chatbot" that will answer customers' questions online and help direct them to the right places. The new online tool, dubbed "Luvo," will begin helping 10% of the bank's customers online from December, according to an emailed statement sent to Business Insider. It will be a web chat tool: as you're browsing, a little chat window will likely pop up and ask if you need any help. The rollout follows a 2-month trial of the tool with the 1,200 RBS staff handling small business inquiries. These staff could direct the SMEs to Luvo to help them with things like lost pins or corporate cards.


Report: Weapons AI Increasingly Replacing, Not Augmenting, Human Decision Making

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The Pentagon's oft-repeated line on artificial intelligence is this: we need much more of it, and quickly, in order to help humans and machines work better alongside one another. But a survey of existing weapons finds that the U.S. military more commonly uses AI not to help but to replace human operators, and, increasingly, human decision making. The report from the Elon Musk-funded Future of Life Institute does not forecast Terminators capable of high-level reasoning. At their smartest, our most advanced artificially intelligent weapons are still operating at the level of insects … armed with very real and dangerous stingers. So where does AI exist most commonly on military weapons? The study, which looked at weapons in military arsenals around the world, found 284 current systems that include some degree of it, primarily standoff weapons that can find their own way to a target from miles away.


Apple buys big data and machine learning firm TupleJump

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Apple has bought a big data and machine learning startup called TupleJump. The deal was first report on TechCrunch, and Apple confirmed it to the site with the usual statement that it occasionally buys...


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According to Carson Sweet of cloud security firm CloudPassage, many companies are asking for machine learning tools to solve problems--even if they don't have a clear idea of what these tools can do. As Mark Terenzoni of threat detection firm Sqrrl explained, AI is like building a brain, but one that is unable to produce deterministic outcomes (ones that will produce a predictable outcome) -- that's why mischief makers were able to manipulate Microsoft's AI chat bot into spewing racist comments. Mahaffey, in response to a question from moderator Jonathan Vanian of Fortune, also clarified the difference between "machine learning" and "deep learning." It turns to be a question of scale: deep learning describes the recent breakthroughs in computer power and cost that makes it possible for machine learning tools to explore millions of parameters.


Zalando Launches Research Lab – Zalando Tech Blog

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Zalando Tech is embarking on an exciting new chapter in its evolution. We've recently launched Zalando Research – an endeavour to place Zalando at the forefront of cutting-edge research, to complement our already strong foothold on technology. Why are we doing this? We already boast great researchers at Zalando Tech, so we want to give them an outlet where they can be better organised and aligned. We also want to have a greater impact in the tech research community, especially in the fields of data science, machine learning, and artificial intelligence (AI).


Conversational Data Must Be Free: Announcing Botmetrics Open Source The Next BOT - The collaborative news feed about BOT, AI & Machine Learning

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Botmetrics allows bot makers to collect and act on detailed chat bot metrics with minimal code for Kik, Facebook, Slack bots. Today, we're proud to announce that we're launching Open Source Botmetrics: the first and only open source, enterprise grade, business analytics and engagement platform built for chat and voice bots.