2017: Going all in with AI. Last year, we stated 2016 was the year of artificial intelligence as tools and solutions became smarter and more advanced. This past year, artificial intelligence went from a sought-after technology to a reality for most organizations. Today, we have devices that can react, respond and recommend on their own. Developer solutions have also evolved to automate and speed up the software development lifecycle through automated testing and automated builds as well as the ability find, detect and fix bugs through monitoring and testing. With the Internet of Things, and the multiple devices people have today, it would not be possible to manage the amount of data and learn from that data to make intelligent business decisions without artificial intelligence. A few years ago, those capabilities were only an idea for the future or only available to a few technology giants, and now it is becoming the new norm for devices and solutions. This is only the beginning as organizations invest heavily in the technology and clear the path for developers. It is important to note that when we talk about artificial intelligence, it is used as an umbrella term and encompasses AI, machine learning, deep learning, and other cognitive technologies. Google continued its work in the machine learning realm with its open-source framework for machine learning, TensorFlow. In February, the library finally reached 1.0. Google built upon the library throughout the year with the release of TensorFlow Debugger for visibility into TensorFlow graphs, Tensor2Tensor for training deep learning models, the TensorFlow Object Detection API, and TensorFlow Lite for machine learning models on mobile and embedded devices. By the end of the year, TensorFlow reached version 1.4 with the machine learning framework Keras, the dataset API, support for Python generators, and new functions for simplifying training and evaluation. Google also started theAI through the People + AI Research initiative announced in July. The initiative is designed to look into how users interact with AI and the benefits it will provide. Other companies worked on providing developers with more tools to build on AI. NVIDIA announced a mission to close the expertise gap in the field of artificial intelligence in May at the GPU Technology Conference. The company announced plans to increase the amount of AI developers tenfold this year through the NVIDIA Deep Learning Institute. NVIDIA also teamed up with Facebook earlier in the year to release Caffe2, an open-source deep learning framework for creating large-scale distributed training scenarios. Salesforce announced Einstein Platform Services to give developers more tools to build AI into their apps. Microsoft continued to invest in artificial intelligence technology throughout the year with the launch of the Open Neural Network Exchange in conjunction with Facebook to provide neural network framework interoperability, the release of its Security Risk Detection tool that uses AI to find and detect software bugs, the launch of the open-source deep learning library Gluon with Amazon, Visual Studio Tools for AI, and Azure IoT Edge. Other investments included: IBM announced plans to create an AI research partnership with MIT, and the Partnership on AI to Benefit People and Society expanded its efforts with eight new for-profit partners and 14 non-profit partners. New venture capital funds such as Toyota AI Ventures, and Google’s Gradient Ventures were created to provide funding, mentorship and support to AI startups. The Linux Foundation also introduced the Acumous Project to help democratize the building, sharing and deploying of AI apps. However, despite the advantages to artificial intelligence, others warned that users should not get too comfortable. Carnegie Mellon University’s Software Engineering Institute released its 2017 Emerging Technology Domains Risk report in October warning about the security impact of vulnerabilities in machine learning, especially when sensitive information is involved. “The ability of an adversary to introduce malicious or specially crafted data for use by a machine learning algorithm may lead to inaccurate conclusions or incorrect behavior,” according to the report. 2017: Going all in with AI. Share this:The post 2017: Going all in with AI appeared first on Statii News. from http://news.statii.co.uk/2017-going-all-in-with-ai/
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Privacy & Cookies Policy Go to Source The post Artificial intelligence: McKinsey talks workforce, training, and AI ethics appeared first on Statii News. from http://news.statii.co.uk/artificial-intelligence-mckinsey-talks-workforce-training-and-ai-ethics/ Meet IOTA: The Cryptocurrency For The Internet-Of-Things. There’s seemingly a cryptocurrency out there for everything these days, including Bitcoin for the adult entertainment industry, Potcoin for the cannabis industry and Legends Room for Las Vegas gentleman’s clubs. But while some of these cryptocurrencies may have limited long-term utility, the IOTA Foundation has partnered with a number of heavy hitters in the tech industry to launch a cryptocurrency specifically designed for the Internet of things. Tangle AngleThe IOTA currency is unique thanks to its blockless “tangle” ledger system, which has no limit on how many transactions can be confirmed per second. Tangle will help companies handle the imminent rise in micropayments that will accompany the IoT boom, according to IOTA mathematician Serguei Popov. “The tangle naturally succeeds the blockchain as its next evolutionary step, and offers features that are required to establish a machine-to-machine micropayment system,” Popov recently wrote. No Need For FeesIOTA is based on the idea that the microfees associated with bitcoin and other cryptocurrency transactions that serve to incentivize mining — and transaction validation — will become unfeasible as the number of IoT micropayments skyrocket. Since IOTA requires no mining to validate transactions, transaction fees are unnecessary. The aim of IOTA and its partners, which include Microsoft Corporation MSFT and PricewaterhouseCoopers, is to provide IoT participants an easy, fast and safe way to exchange, buy and trade datasets. The more devices and companies become connected on the IoT, the more data there will be available on demand. Millions of sensors are constantly collecting data, most of which sits unused but could potentially be useful and valuable in certain situations. Room For GrowthBG Perspectives estimates that business-to-business spending will grow to be a $267-billion market by 2020, and IOTA could play a central role in that expansion. Since its November launch, IOTA has flown mostly under the radar while bitcoin and Ethereum capture most of the headlines. But IOTA has now quietly grown to a market cap of nearly $14 billion, making it the sixth-largest cryptocurrency in the world. Share this:The post Meet IOTA: The Cryptocurrency For The Internet-Of-Things appeared first on Statii News. from http://news.statii.co.uk/meet-iota-the-cryptocurrency-for-the-internet-of-things/
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Privacy & Cookies Policy Go to Source The post IoT trends 2018: artificial intelligence, security and edge solutions appeared first on Statii News. from http://news.statii.co.uk/iot-trends-2018-artificial-intelligence-security-and-edge-solutions/ Which SAP module is in demandLet’s start with Which SAP module is in demand? The simple fact data stream rises significantly in just a quick time period isn’t really a new-fangled idea. Improved forecasting, on-demand analytics, and even distribution chain setting up all demand a tasteful way to catch and also Implementing data to desirable outputs. Even though in-memory computing is also an increasingly extraordinary feature that has multiple software throughout several market verticals, it’s even now to be shown within the area of Supply Chain administration. You’ll find myriad applicants for information director of the following creation- intended to SCM these comprise but aren’t confined by HANA, Oracle, Microsoft and additionally requisite Sign Repositories or even DSRs. A venture called ToolsGroup has proceeded forwards round many different fronts including as for instance, for instance, a venture together with National Velo City that’s just a top DSR. Additionally, it has certified ports using SAP ERPs over the HANA system.The target in ToolsGroup can be that a simple integration of distribution chain preparation together side applications optimisation that really is just a top DSR. Additionally, it has certified ports using SAP ERPs over the HANA system. The target in ToolsGroup can be that a simple integration with its own distribution chain preparation together side optimization applications along with substantial numbers repositories of future invaluable requirement and supply chain info. This may, subsequently, lessen info stream latency whilst enabling high-level re-planning and optimisation utilizing real-time info. According to Gartner a renowned market-research corporation, SAP is already witnessed commercializing HANA for its distribution chain according to the renowned marketplace analysis firm Gartner. He states this is often accomplished via the entry of Cloud, portable, in-memory computing and contemplating the dimensions and rate at the same. The purpose here is allowing visitors to get and examine analytic and assimilate info in real-time to quicken decisionmaking. However, the tactic and timelines with the endeavor have increased questions among both users and organizations. Lora Cecere, Creator, and CEO of all Supply Chain Insights that will be an LLC coping with Provide Sequence-derived insights. She states SAP HANA sometimes appears from the LLC as a way of boosting the dimensions of devices of a benchmark such as ERP. Cecere will not find it while the cornerstone of prospective analytics mainly because she considers there’s just an additional demand for info that is not ordered and transactional that will end up is always an issue for HANA. While intending info is usually time-phased with detector statistics like the Web of Matters (IoT) along with RFID re-presenting streaming and time-phased info. Cecere proceeds to express whetherHANA may possibly perhaps not function as perfect arrangement for streaming and also time-phased information, but you will find infinite choices for using social statistics graphics, guarantee info, GPS info plus a great deal more. The potential for distribution chain direction is located inside of unstructured info.After SAP’s brand new Chief Information Officer Bernd Leukert declared SAP’s strategy to digitize HANA from 2014, thee 3 technology magazine indicated clients perhaps not to conduct SAP HANA system with on their own. As an answer to the announcement, the co-CEO of this company called Datacard, ” Goetz Lessmann talked out from the magazine announcement. Data Card assists clients worldwide inside the migration into SAP HANA. Goetze reported the simple fact continues to be that true HANA migration and implementation into HANA itself will probably necessitate high quantities of an attempt than significant OS or even DB migration. But that really is different from cloud/hosting or on-premise. The reason for it is the fact that adaptations of information units and method surgeries are required to use the contemporary in-memory technology, thereby generating the device forwards harmonious. Most these adaptations could be required in virtually any instance for execution of upgrades. SAP as well as also their partners offer consulting services and tools so as to encourage migrations and additionally carry on jogging HANA in economical manners. An amazing destination for a begin amongst the others is to dive deep into SAP SLO portfolio together side the perfect solution is “street into HANA” that can be provided together side SAP. The standard rule principle is the fact that data needs to be kept and found in accord having its own value. SAP has started a fresh age in data processing with all the exceptionally advanced in-memory tech of SAP HANA.Alongside alight skepticism concerning the potential for HANA, many market pros have announced that the database engineering enriches the overall performance of gigantic SAP methods at the same side and gives new app scenarios over the opposite hand. This really Will Surely Be deliver a Huge group of Advantages to SAP’s present and potential clients with SAP’s choice to Re-Work HANA not impacting the basic facts concerning the Efficacy of both HANA EIN ORIGINALShare this:The post Which SAP module is in demand appeared first on Statii News. from http://news.statii.co.uk/which-sap-module-is-in-demand/ Can IoT help make the enterprise more secure? It’s no secret that the rise of the Internet of Things (IoT) presents massive new security challenges. Heck, I’ve written about the issue here more than once. But one company claims that enterprise IoT also shows promise for addressing key security issues. Tim Lang, CTO at BI and data analytics firm MicroStrategy, notes that 70 percent of security breaches come from the inside, and he says Enterprise Internet of Things (EIoT) can help enterprises “monitor and prevent these breaches before they happen.” Lang cites McKinsey estimates claiming that 70 percent of the value created by IoT over the next decade will flow from business-to-business (B2B) applications. He says these B2B applications will use IoT technology to improve many elements of business operations, including security. The biggest threats lie withinSpecifically, EIoT is positioned to help companies mitigate internal security risks. Lang says: “What IoT brings to the table is a low-friction way of monitoring and tracking who’s in what system when, and sending alerts if there’s activity from unauthorized personnel or a settings change in a highly confidential system. Having this level of intelligence and support allows your team to have one eye open at all times and ensures the security of your most confidential databases.” According to Lang, EIoT is a much better approach than traditional passwords, which constantly need to be updated and are easily leaked or stolen. More importantly, passwords and similar techniques are largely defensive, he says. “In today’s world, enterprise organization can’t afford to constantly be playing defense, they need to be on offense,” Lang says. “Utilizing EIoT gives companies the ability to mitigate security threats before they happen. For instance, if you’re alerted of activity in a system coming from outside the office, you can immediately see who it was, [see] what they were doing, and decide whether additional action is necessary.” So Still this remains the question Can IoT help make the enterprise more secure? Share this:The post Can IoT help make the enterprise more secure? appeared first on Statii News. from http://news.statii.co.uk/can-iot-help-make-the-enterprise-more-secure/ As Bitcoin Rebounds Past $16,000, Related Jobs Have Also Surged Bitcoin slump or not, one thing that has been on the rise this year: cryptocurrency jobs. Amid growing interest in Bitcoin and its peers this year, with exchange owners, CME and CBOE offering Bitcoin futures, Bitcoin- and blockchain-related jobs on LinkedIn have risen roughly 306% in the 12 months ending mid-November. Bitcoin’s price has risen roughly 900% in the same period. (How high will it go in 2018? Read the cover story of our January 2018 issue.) In the first 11 or so months of 2017, LinkedIn says job postings with Bitcoin in the headline grew to 4,917 listings—a jump of 5,753%. If you can believe it, that figure is higher than even the rise of Bitcoin’s price in the same time frame (more than 3,151%). “The rise in the value of Bitcoin and other digital currencies over the past 12 months has opened the market up to many retail and institutional investors who were previously sitting on the sidelines,” a representative for the U.S.-based cryptocurrency exchange Coinbase said in a statement. “As the size of the market has grown, Coinbase has added the right people to ensure our platform and customers are properly supported, and we have approximately doubled our headcount in the last year.” Coinbase now has roughly 200 employees. Has Roughly Mirrored Bitcoin’s Price RiseBitcoin reached over $11,000 within hours of hitting its first five digit valuation. Still, not all of of the LinkedIn job postings are directly related to Bitcoin. Some are likely also related to Bitcoin’s underlying technology, the blockchain. Though institutional giants like J.P. Morgan dismiss Bitcoin as an investment, they do find value in the blockchain and its potential application as a store of information for banks, healthcare providers, and even the pork supply chain. Share this:The post As Bitcoin Rebounds Past $16,000, Related Jobs Have Also Surged appeared first on Statii News. from http://news.statii.co.uk/as-bitcoin-rebounds-past-16000-related-jobs-have-also-surged/ Bitcoin’s Real 2018 Bottleneck After a year of explosive price growth, forks, failed forks and more, there is much that can be said about bitcoin in 2017. Massive strides were taken, and much has been learned. However, as we push further into uncharted waters, what happens from this point onward continues to be just as divisive a topic as ever. Underlying both much of the year’s drama and continued future uncertainty is a simple question: Can bitcoin scale as it continues to capture mainstream attention, or will it become a victim of its own success, with alternative cryptocurrencies waiting in the wings to overtake it? Of course, no one can honestly answer this question with total certainty. Predicting the future is a messy business, because the future is constantly in flux. It is not and cannot be fixed or predetermined. Rather, the future is being shaped and created gradually in the here and now by those unsatisfied by the present. As George Bernard Shaw wrote: “The reasonable man adapts himself to the world; the unreasonable one persists in trying to adapt the world to himself. Therefore, all progress depends on the unreasonable man.” So, as we reflect on a breathtaking year and ponder what challenges the future may hold, it’s worth paying special attention to those unreasonable men and women who are doing the creating. Scaling bitcoinAt the beginning of November, one of the longest-running and recognized technical conferences in the blockchain sector hosted its 2017 conference in partnership with The University of Stanford: Scaling Bitcoin. For the fourth time, Scaling Bitcoin brought together academics, developers, and entrepreneurs from across the blockchain ecosystem, many of whom have been in the thick of cryptocurrency ideas and development for years. With this long and deep experience comes a sense of perspective and order of priorities that shouldn’t be ignored. For those looking to the future of cryptocurrency and wondering what’s preventing us from getting there, there’s no better place to start. Bitcoin’s Real 2018 Bottleneck Share this:The post Bitcoin’s Real 2018 Bottleneck appeared first on Statii News. from http://news.statii.co.uk/bitcoins-real-2018-bottleneck/ Bitcoin prices stabilize as the overall value of cryptoassets climbs towards a new record12/30/2017
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Privacy & Cookies Policy Go to Source The post Bitcoin prices stabilize as the overall value of cryptoassets climbs towards a new record appeared first on Statii News. from http://news.statii.co.uk/bitcoin-prices-stabilize-as-the-overall-value-of-cryptoassets-climbs-towards-a-new-record/ It’s an Interesting question that Can Google’s AI Make Better AI Than the Googlers?Google’s AutoML technique not too long ago generated a streak of machine learning codes with high degrees of efficacy compared to the ones made with the investigators. With this brand new setback to individual excellence that the robot university student is now the self-replicating venture. AutoML has been created as a way to solve the deficiency of elite expertise in AI programming. There are not enough cutting-edge programmers to stay informed about desire, thus the crew created a system learning applications which could cause self-learning code. The technique operates tens of thousands of simulations to decide on which regions of the code might be made better, creates the alterations, also proceeds that the procedure ad infinitum, or before its aim is arrived at. This can be an amazing representation of this infinitefighter theorum, but alternatively, of the fighter using a computer keyboard generating Shakespeare, Google manufactured machines with the capacity of replicating their very own programming. And the one’s machines could do in hours that which happens the very best human developers months or weeks.Even scarier, AutoML is far better at coding machine learning systems compared to investigators that left it. In a graphics recognition endeavor, it touched album a top 82 percentage precision. Much in a few of the absolute most complicated AI responsibilities, its own output signal code is better than individuals; it may indicate numerous points in a picture with forty-two percent accuracy in comparison with human-made applications 3 9.That is not first of Skynet or anything else spooky such as this, but we aren’t to the brink of this singularity (self-reliant devices), however, we all have been jumps nearer to showing AI’s capacity to quicken the tech deadline. Google just declared AutoML 5 weeks past. It was notable that the company generated an AI with the capacity of fabricating improved machine learning techniques that research workers have, at this a brief period — envision at which in fact the exact same team will probably soon be annual. The crew is probably going to talk about their investigation with the others indoors and out the provider since Google’s AI investigators tend to do.I really can’t be the one individual who would like to find out exactly what Deep intellect could perform together having the capacity to produce a much better Deep intellect — a Deeper Head, in the event that you’d? Even the AI R-Evolution is now currently underway and also its own future is much smarter than before. AutoML may be your Genesis for its next production of machine learning. Earth’s machines won’t simply know, they will self-update and have the ability to fabricate habit apps to address sudden issues. Our expectation is based on an near future at which AI requires good care of time-tested tasks such as programming, so thus alerting individuals to complete what machines can not do such as love tacos and beer. EIN ORIGINALShare this:The post Can Google’s AI Make Better AI Than the Googlers? appeared first on Statii News. from http://news.statii.co.uk/can-googles-ai-make-better-ai-than-the-googlers/ |
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