cloud


How will the cloud be able to handle the emergence of IoT

@machinelearnbot

Cloud computing and the Internet of Things (IoT) have spent the last several years in a sort of maximum-acceleration race where they've lapped the other players several times over and have only one another to measure against. Neither is slowing down, particularly the IoT. According to analysis firm Gartner, the number of IoT devices will hit 20.8 billion by 2020. The world population is expected to reach 8 billion in 2020, meaning there will be 2.5 IoT devices per person on the entire planet. In 2016, the IoT was growing at the rate of 5.5 million new things getting connected every day.


Is The Future Of HR, AI?

#artificialintelligence

With digital technologies now woven through every facet of our society, HR, and almost every other business function, has to rethink processes to meet the demands of the changing marketplace and enhance the employee experience. They understand that investing in their employees, is investing in the company. "From AI to virtual reality and data analytics, the one thing that all these new technologies have in common is that they inform forward-thinking business decisions" New technologies entering the workplace will empower HR professionals with insights needed to transform the employee experience, but just like any other major change, this also creates uncertainty about HR's evolving role. While no one knows exactly what the future has in store, HR professionals can count on the partnership between HR and AI technologies in the next five years as we see several aspects of the digital transformation gaining traction within the workplace. Despite what some experts might have you believe, robots are not coming to replace the role of HR professionals.


CFP for @DevOpsSummit NY Opens #CloudNative #DevOps #Serverless #Kubernetes

#artificialintelligence

DevOps at Cloud Expo - being held June 5-7, 2018 at the Javits Center in New York, NY - announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. 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.


Algorithmia launches tool for running machine learning in production

@machinelearnbot

Algorithmia today announced the commercial availability of a new tool to help companies take their machine learning models from experimentation to production. Called the Algorithmia AI Layer, the system is designed to help companies deal with the operation, integration, security, scaling, and other tasks around bringing machine learning out of the lab. It's a problem that comes up when businesses are ready to start implementing the AI models that they've built, which can often take a while. Algorithmia's own business over the past several years has positioned it to provide this AI layer. The Seattle-based startup has been operating a massive marketplace for intelligent algorithms (hence the name), which means that the team had to build a system just for running machine learning models in production with security, isolation, scalability and other key performance traits built in.


CFP for @CloudExpo and @ExpoDX Opens #SmartCities #DigitalTransformation

@machinelearnbot

The 22nd International Cloud Expo 1st DXWorld Expo has announced that its Call for Papers is open. Cloud Expo DXWorld Expo, to be held June 5-7, 2018, at the Javits Center in New York, NY, brings together Cloud Computing, Digital Transformation, Big Data, Internet of Things, DevOps, Machine Learning and WebRTC to one location. CloudExpo DXWorldEXPO have announced the conference tracks for Cloud Expo 2018, introducing DXWorldEXPO. DXWordEXPO, colocated with Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA. Digital Transformation (DX) is a major focus with the introduction of DXWorld Expo within the program.


how-artificial-intelligence-will-boost-these-8-stocks

#artificialintelligence

A dozen or so companies are well-positioned to reap big profits from the burgeoning market for artificial intelligence (AI), Barron's reports. Among these companies are: semiconductor manufacturers Micron Technology Inc. (MU) and Nvidia Corp. (NVDA); Google parent Alphabet Inc. (GOOGL); database management software developer Oracle Corp. (ORCL); online merchant and cloud-computing leader Amazon.com In 1997, IBM scored a major milestone in AI history when its Deep Blue program beat reigning world chess champion Gary Kasparov, still considered by many experts to be the best player of all time. IBM's Watson question answering system passed a high-profile test in 2011, beating two top former champs on Jeopardy!, the long-running quiz show on TV. Since then, Watson has been rolled out for general commercial use, most notably to aid doctors in making diagnoses.


10 Trends Redefining Enterprise IT Infrastructure - CXOtoday.com

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The IT infrastructure landscape is evolving rapidly. While some may imagine infrastructure is only about stacks of hardware locked away in data centers, it comprises disruption and innovation in every area, from servers and storage to networking and software. In a recent report by McKinsey, researchers highlight trends that are giving rise to such disruption and innovation. They have identified ten trends that are already having a major impact on IT infrastructure and will bring even more disruption over the coming years. Excepert from the study given below.


Algorithmia now helps businesses manage and deploy their machine learning models

#artificialintelligence

Algorithmia started out as an online marketplace for -- can you guess it? Many of these algorithms that developers offered on the service focused on machine learning (think face detection, sentiment analysis, etc.). Today, with the boom in ML/AI, that's obviously a big draw and Algorithmia is now taking its next step in this direction with the launch of a new service that helps data scientists manage and deploy their machine learning models -- and share them with others inside their companies. This basically means that the company is turning some of the infrastructure and services it built to run these models itself into a new product. "Tensorflow is open-source, but scaling it is not," said Kenny Daniel, co-founder and CTO of Algorithmia, in today's announcement.


It's About to Get Way, Way Easier to Put AI Everywhere

#artificialintelligence

Google has a vision for a world full of cheap and tiny smart devices--and it hopes its software will power them all. A couple of years back, Google launched an open-source machine-learning software library called TensorFlow. It has since exploded in popularity, to the point where it's now used by the likes of Airbnb, eBay, Uber, Snapchat, and Dropbox to power their AI development. Its appeal is obvious: it allows relative beginners to build and train neural networks without needing a PhD in artificial intelligence. As a result, the library now forms a major component of Google's business plan.


Google brings on-device machine learning to mobile with TensorFlow Lite

@machinelearnbot

The company's dedication to developing AI capable of running algorithms on a mobile device -- without connecting to the cloud -- is laying the groundwork for the artificial intelligence of things (AioT) of the future. As far as consumer products go, Google Assistant, Alexa, and Siri are among the most popular uses of AI in the mainstream. For as little as $30 or $40 a person can get their own interactive artificial intelligence – as long as they also have WiFi and somewhere to plug in a charger. TensorFlow Lite represents the nascent steps on the path toward making AI-powered devices not just accessible, but disposable. It's the death of buttons.