cloud


Machine Learning on Google Cloud Platform

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This learning path will introduce you to neural networks, TensorFlow, and Google Cloud Machine Learning Engine. Even if you don't have any previous experience with machine learning, that's okay, because these courses cover the basic concepts. The first course explains the fundamentals of neural networks and how to implement them using TensorFlow. Then it shows you how to train and deploy a model using Cloud ML Engine. The second course explains how to build convolutional neural networks, which are very effective at performing object detection in images, among other tasks.


How to Sponsor @DevOpsSummit 2018 #CloudNative #Serverless #DevOps #Docker #Kubernetes

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DXWorldEXPO LLC, the producer of the world's most influential technology conferences and trade shows has announced the "Call for Papers" for @DevOpsSummit at CloudEXPO DXWorldEXPO 2018 New York. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises - and delivering real results. Among the proven benefits, DevOps is correlated with 20% faster time-to-market, 22% improvement in quality, and 18% reduction in dev and ops costs, according to research firm Vanson-Bourne. It is changing the way IT works, how businesses interact with customers, and how organizations are buying, building, and delivering software. With a growing number of both adopters and providers, this rapidly changing market is full of opportunity for technology providers, practitioners, and consumers alike.


Speaking Opportunities at @DevOpsSummit 2018 #CloudNative #CloudNative #DevOps #Serverless #APM #Monitoring

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DevOpsSummit New York 2018, colocated with CloudEXPO DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Similar percentages are found throughout enterprises of all sizes.


Speaking Opportunities at @DevOpsSummit 2018 #CloudNative #CloudNative #DevOps #Serverless #APM #Monitoring

#artificialintelligence

DevOpsSummit New York 2018, colocated with CloudEXPO DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Similar percentages are found throughout enterprises of all sizes.


FICO Delivers Mission Critical Artificial Intelligence in the Cloud

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FICO World, analytics software firm FICO showcased the latest enhancements to FICO Decision Management Suite (DMS) which leverages artificial intelligence (AI), machine learning (ML), advanced analytics, optimization and decisioning to deliver better, more predictive business outcomes. "We are excited to unveil new capabilities in FICO DMS," said Jari Koister, vice president of product management at FICO. "DMS supports the full life cycle of decision, analytics and AI driven applications, this includes data ingest and management, collaborative development, scalable elastic execution, and management and performance tracking of models." The new Enterprise Grade Cloud Service is a managed service offered in a FICO datacenter or on AWS. This new service provides everything an enterprise needs to run and operate decision management solutions in the Cloud, including infrastructure, support, architecture best practices, and lifecycle services. Introducing a new Analytics Workbench, FICO now offers a robust analytic development tool that was built from the ground up to be fully integrated with the decision platform.


Cloud Computing and Robotics: The Interesting Emerging Field of Cloud Robotics - TFOT

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Cloud Robotics is a term that was popularized by James Kuffner after he brought together researchers from different relevant fields (robotics, machine learning, and computer vision) to assist in coming up with the initial Cloud Robotics concept. Cloud robotics, as the name suggests is bringing together cloud computing and robotics. In essence, taking all the benefits of cloud computing and finding ways to apply them to robot software and robotics. The past couple of years have established cloud computing as the technology of now and the future. In 2017, spending on cloud services was $153.5bn, and this is expected to rise by 21.1% in 2018 to $184.4bn.


Horizon Robotics Exerts Tight Grip Over Artificial Intelligence Stack

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As the race intensifies to run machine learning tasks in embedded devices instead of the cloud, several companies are trying to set themselves up with custom chips to ease the shift. Horizon Robotics is not only tackling chips but also software and the cloud, with an eye toward beating rivals in applications like security cameras and autonomous cars. "The chip is the local brain that directly senses the surrounding environment, while the algorithm is the miner of the data," said Kai Yu, founder and chief executive of Horizon Robotics, and the former head of Baidu's artificial intelligence unit, called the Institute of Deep Learning, in an interview with Electronic Design. "We want to empower end devices with A.I. capacity and make them smart without relying on the cloud alone," Yu said, adding that the "chip and algorithms are used to perceive and filter big data, perform real-time processing and transmit valuable data to the cloud for further mining and modeling. The central component in Horizon Robotics' SoCs is the brain processing unit, a custom block of circuitry that specializes in algorithms trained on vast libraries of images, hundreds of hours of video, or other data.


AI is renewing interest in high-performance computing

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The growing adoption of artificial intelligence (AI) is driving more organisations in Asia to turn to high-performance computing (HPC), according to a senior Lenovo executive. The race is on to get ready for GDPR next year. Computer Weekly looks at how to deal with data under the regulation, how compliance will affect businesses, and what organisations should do to prepare. You forgot to provide an Email Address. This email address doesn't appear to be valid.


Companies are Bullish on Cloud Analytics, But Need to Speed up the Pace

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It has become so significantly important these in the tech world to be a cloud troupe. Cloud Computing helps the organization to create new revenue opportunities and to implement new business services much faster. Although, a majority of the largest companies in the world (83 percent) agree that the cloud is the best place to run analytics, according to the new survey by Vanson Bourne on behalf of Teradata. In the coming years, most organizations want to run all of their analytics in the cloud. But it was further found that almost all the organization say that analytics should be moving to the public cloud at a faster rate.


The success of artificial intelligence depends on data

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Artificial intelligence (AI) has become a prominent industry buzzword. From messaging and chatbots, to sophisticated enterprise applications, it's clear that AI is here to stay. People continue to hear mentions of how AI will advance society, but the debate remains as to how AI can and should be applied in practicality and whether the promise is real. Today, many organisations continue to fail to effectively apply AI to solve specific business cases. The hype around AI has led to a trend where every vendor claims to leverage it in their technology, solutions or products, causing extreme confusion, and in some cases, frustration among technology users.