IT process


Google launches artificial intelligence division

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To help accelerate AI research, Pichai announced that the Tensor Processing Units (TPUs) it uses to train machine-learning models is available in the Google Cloud Platform for anyone to use via the Google Compute Engine today. "We want it to be possible for hundreds of thousands of developers to use machine learning," Pichai said. Our new Cloud TPUs accelerate a wide range of machine learning workloads, including training and inference https://t.co/aWvTVMn54Q The CEO also announced that Google will be using the neural nets it creates to build other neural nets with AutoML. The system takes a set of candidate neural nets (Pichai called them baby neural nets) and iterate them using a reinforcement training approach until the best one is found.


Incident Management for IoT @ThingsExpo @PagerDuty #AI #IoT #M2M #API

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All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


Sundar Pichai Sees Google's Future in the Smartest Cloud

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In other words, he hopes the new chip and the new service will set Google's cloud business apart from services offered by its main rivals, including Amazon and Microsoft, the unnamed competitive threat underlying his I/O keynote. Between its two AI labs--Google Brain, based at company headquarters in Silicon Valley, and DeepMind, a London AI startup Google purchased a little more than three years ago--Google is leading the new wave of artificial intelligence research and development so rapidly changing entire industries and economies. But the company believes cloud computing--where computing power is rented over the internet to businesses and software developers--could one day bring in far more. Google built its new chip as a better way of serving its own AI services, most notably Google Translate, says Jeff Dean, the uber-engineer who oversees Google Brain, the company's main AI lab.


How telecom providers are embracing cognitive app development

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As an example, mobile network operators are increasing their investment in big data analytics and machine learning technologies as they transform into digital application developers and cognitive service providers. With a long history of handling huge datasets, and with their path now led by the IT ecosystem, mobile operators will devote more than $50 billion to big data analytics and machine learning technologies through 2021, according to the latest global market study by ABI Research. Machine learning can deliver benefits across telecom provider operations with financially-oriented applications - including fraud mitigation and revenue assurance - which currently make the most compelling use cases. Predictive machine learning applications for network performance optimization and real-time management will introduce more automation and efficient resource utilization.


Three reasons why AI is taking off right now (and what you need to do about it) ZDNet

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Initiatives such as language translation and image, facial, activity and emotion recognition - are based on predictive analytics that get more accurate as the data behind them gets richer. In particular, the emergence of GPU-based computing can greatly accelerate neural network processing capabilities - and if more processing power is needed there are the vast cloud computing resources of Amazon, Microsoft, Google. "Taken together, deep learning software and parallel processing hardware now provide a powerful [machine intelligence] platform," the report said. Cloud business models: The emergence of machine learning business models based on the use of the cloud is the single biggest reason that the field is so energized today, the report said: "We are essentially seeing the merger of machine intelligence with cloud economics."


SoftBank puts on a Pepper the robot roadshow as it woos developers

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Omar Abdelwahed, Head of Studio at SoftBank Robotics America, demos the capabilities of a humanoid robot, called Pepper, which is supposed to help customers shop in stores. "We designed Pepper to create empathy," says Steve Carlin, SoftBank Robotics America vice president in charge of sales and development. Steve Carlin, VP of Marketing and Business Development at SoftBank, discusses Pepper's new ability to help consumers shop at stores. "We've given Pepper a number of cues that will help people understand what it's doing," says SoftBank's Omar Abdelwahed, head of the company's robotics studio.


Google's New AI-Powered Personal Assistant Is a Glimpse of Our Future

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Artificial intelligence is now running robots, speech-to-text programs, cars, and doing everything from creating movie trailers to composing music. For now, Google is only offering Assistant on the Pixel, Google Home, and the messaging app Allo. Having an ever-present, artificially intelligent program looking through your contacts, your phone, your habits, and your daily life is a major decrease in privacy. With more information thanks to their new AI product, Google will be able to craft even better ad campaigns.


Artificial intelligence has rising impact on financial markets

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Many scientists and futurists agree that the effects of artificial intelligence and automation on society are difficult to predict. While many predicted that the tip of the spear for such technology would play out in areas such as medicine or general computer system markets, the AI revolution is already underway in the financial markets. Nearly all market-making is presently dominated by machines that employ AI techniques, including advanced pattern recognition. The markets evolution from the primordial ooze of computers, networks and massive storage systems to a complex, intelligent and somewhat singular market entity will impact society well beyond finance.


How is AI changing the workforce?

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Artificial intelligence (AI) is steadily growing more sophisticated, particularly in regards to advanced decision making capabilities, making it increasingly appealing to corporations. It's quite simple for AI to predict a temporary employee's success in completing a single task. When developing artificially intelligent software, companies have been tasked with giving the software a human touch that encourages people to welcome AI into their business and personal lives. Specialising in cloud business management, Tithof leads Unit4's business, being responsible for developing new business, strategic account selling and continuing the successful partnerships with Agilyx, Connexxion and S1 Consulting within the region.


Evernote migrates data to Google Cloud Platform

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Notes platform Evernote has announced plans to migrate its complete data infrastructure from its own servers and networks onto Google's Cloud. With an existing relationship with Google, through a previous integration with Google Drive, Evernote has made swift progress on finalising the infrastructure plans. The data migration is expected to begin from next month, finishing towards the end of 2016. It is these machine learning and artificial intelligence capabilities which Google plans to leverage in attracting large enterprises to its cloud, over rivals Amazon Web Services (AWS) and Microsoft Azure.