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Intelligent Edge Analytics: 7 ways machine learning is driving edge computing adoption in 2018

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Edge services and edge computing have been in talks since at least the 90s. When Edge computing is extended to the cloud it can be managed and consumed as if it were local infrastructure. It's the same as how humans find it hard to interact with infrastructure that is too far away. Edge Analytics is the exciting area of data analytics that is gaining a lot of attention these days. While traditional analytics, answer questions like what happened, why it happened, what is likely to happen and options on what you should do about it Edge analytics is data analytics in real time.


AI Biweekly: 10 Bits from July W2 -- W3 – SyncedReview – Medium

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Facebook Tests AR Adverts in Its News Feed Facebook is working with a select group of advertisers to create augmented reality ads for its News Feed. When users activate an ad's tap-to-try AR capability it can display for example how a pair of glasses would look on their face via the user's webcam and screen. Facebook says it also intends to expand shopping support in Instagram Stories. July 10th -- NVIDIA Collaborates with Daimler and Bosch to Develop Robotaxi Fleets. NVIDIA, Daimler and Bosch announce a partnership to develop on-call, fully automated and driverless taxis.


How GE Digital is Using AI, IoT to Upgrade Drink Packaging

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Most of us don't think about what has happened behind the scenes to prepare our container of milk or fruit juice as it cools us down on a warm summer day. Literally billions of drink cartons each year are cut, printed, assembled, filled and sealed in assembly lines before you pick up the one that was destined to be yours. But this is all far from mind as we pop open the container and drink the contents down. However, SIG, one of the world's largest providers of packaging systems for the food and beverage industry, is always thinking about this process and how to make it better and more efficient. So is its chief software analytics provider, GE Digital, which deploys its Predix internet of things software platform to optimize the carton maker's manufacturing process across 400 factories in 65 countries.


Top 10 Reasons Not To Miss The Machine Intelligence Summit in Hong Kong

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What does the future of Artificial Intelligence mean for you? The UK Government announced just this week, a new £1 Billion Drive Into Artificial Intelligence. "Artificial intelligence provides limitless opportunities to develop new, efficient and accessible products and services", said Business Secretary Greg Clark. For 2 days, we're bringing together world leading researchers and industry pioneers to learn, discuss and explore the impact machine learning and deep learning algorithms will have on your business and across our daily lives. With just over one month to go, we're highlighting the 10 reasons not to miss the upcoming Machine Intelligence Summit, taking place in Hong Kong on 6-7 June.


GE Digital's Edge Manager Relies on Machine Learning and Analytic

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GE Digital believes that edge computing will play a key role in the industrial Internet of Things (IoT), and that's why the company announced last October that it was expanding its Predix industrial IoT platform's capabilities to better handle computing at the network's edge. But how exactly is the company accomplishing this? In an interview with SDxCentral, GE Digital's Gytis Barzdukas, vice president and head of product management for Predix, said that the company is adding analytics and machine learning to its Predix Edge Manager, which serves as a portal to provision and manage devices. The analytics are then combined with machine learning (ML) concepts so the company can help customers predict certain behaviors. Barzdukas used Schindler Elevators as one example.


How machine learning is applied in industrial IoT

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Machine learning can have a greater impact on people's lives when applied to the industrial internet of things (IoT) than in consumer applications, according to a machine learning expert at GE Digital. Every conference this year contains a dead human genius reincarnated as software system or a robot. Yes, there is a lot of hype, but there is real worth in AI and Machine Learning. Read our counseling on how to avoid adopting "black box" approach. You forgot to provide an Email Address.


How machine learning is applied in industrial IoT

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Machine learning can have a greater impact on people's lives when applied to the industrial internet of things (IoT) than in consumer applications, according to a machine learning expert at GE Digital. Check out the latest findings on how the hype around artificial intelligence could be sowing damaging confusion. Also, read a number of case studies on how enterprises are using AI to help reach business goals around the world. You forgot to provide an Email Address. This email address doesn't appear to be valid.


GE's Predix platform bolstered by data, domain expertise

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CIOs looking for a digital transformation case study will find an ongoing master class at GE. You forgot to provide an Email Address. This email address doesn't appear to be valid. This email address is already registered. You have exceeded the maximum character limit.


GE adds edge analytics, AI capabilities to its industrial IoT suite

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To solidify its position at the center of the industrial internet of things (IIoT), GE Digital is adding features to its Predix platform as a service (PaaS) that will let industrial enterprises run predictive analytics as close as possible to data sources, whether they be pumps, valves, heat exchangers, turbines or even machines on the move. The main idea behind edge computing is to analyze data in near real-time, optimize network traffic and cut costs. At its annual Minds Machines conference this week in San Francisco, GE Digital, the software arm of industrial conglomerate GE, is offering an array of new applications and features designed to run at the edge network and let companies more efficiently and precisely plan service times and predict equipment failure. The new apps, which extend the Predix Edge platform announced at Minds Machines last year, also are meant to connect information and operational technology (OT and IT) systems to better manage companywide assets, for example bringing data from the factory floor and inventory facilities into ERP and supply-chain systems that may reside in corporate data centers or in the cloud. As enterprises try to get a handle on the vast amount of data generated by IoT devices, some of the biggest names in tech are offering a variety of apps and cloud services to help.


Why Hardware Suppliers Need Artificial Intelligence, Business Analytics, and Machine Learning

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"Improving Service Delivery Performance with Machine Learning and Artificial Intelligence," presented by TSIA. Learn how to enable smart, connected products, build the data model, and operationalize data analytics. Hear a panel of experienced service executives talk about how their companies leverage data collected from their install base to create business value for customers. "How Intelligent Algorithms and Spare Parts Combine to Deliver Outcome-Based Offers," co-presented by Becton Dickinson & Company and TSIA. With 60-70% of service incidents involving spare parts and the need for an on-site visit from an engineer/technician, the use of intelligent algorithms for install base demographics, failure rates, and stocking locations have enabled Becton Dickinson & Company to improve their operations.