Nervana Systems Brings AI to the Cloud
by Angela Guess Jeremy Hsu recently wrote in Spectrum IEEE, “Deep learning is Silicon Valley’s latest and greatest attempt at training artificial intelligence to understand the world by sifting through huge amounts of data. A startup called Nervana Systems aims to make AI based on deep learning neural networks even more widely available by turning […]
Read More →A Smart Approach to Internet of Things Projects
by Angela Guess Dan Kusnetzky recently wrote in SearchDataCenter, “From a data center perspective, Internet of Things and big data projects almost always stress the network and storage infrastructure. Planners need to carefully assess infrastructure requirements before their organization embarks on these sorts of large-scale, data-intensive projects. Traditional business intelligence projects are founded in needs […]
Read More →How the Big 4 Cloud Providers Approach Machine Learning as a Service
by Angela Guess Serdar Yegulalp recently wrote in InfoWorld, “For any cloud to be taken seriously, it has to meet an ever rising bar of features. Machine learning seems to be on that list, as all the major cloud providers now feature it. But how they go about doing it is another story. Aside from […]
Read More →Gartner’s Top 10 Internet of Things Technologies
by Angela Guess Forbes contributor Louis Columbus recently wrote, “Internet of Things (IoT) technologies is extending existing business models and leading to the proliferation of entirely new ones as companies push beyond the data, analytics and intelligence boundaries that held them back in the past. Gartner’s recent analysis of the top 10 IoT technologies provides […]
Read More →Using Artificial Intelligence to Teach Our Children
by Angela Guess Sarah Cassidy recently wrote in The Independent, “Artificial intelligence should be used to provide children with one-to-one tutoring to improve their learning and monitor their well-being, academics have argued. One-to-one tutoring has long been thought the most-effective approach to teaching but would be too expensive to provide for all students. However, in […]
Read More →Why Big Data and the IoT Go Hand in Hand
by Angela Guess Mike Kavis recently wrote in Forbes, “I have seen companies spend large sums of money and invest huge amounts of human capital building and operating big data solutions with very little ROI to show for it. Over the last year or two, IoT has become a frequent board room topic. Business executives […]
Read More →Big Data and Artificial Intelligence: Advances in Natural Language Processing
Do you use Siri on your iPhone, Amazon Echo or the automated voice response system to check your account balances? Have you seen the Nationwide commercial “Impersonal” that shows a customer speaking into his smartphone microphone the word “representative” to be connected to a customer service representative. The automated system does not recognize his request. […]
Read More →Can Machine Learning Predict Depression?
by Angela Guess Arshya Vahabzadeh recently wrote in The Huffington Post, “Can machine learning predict the extent and length of someone’s depression, right from the outset? In a study published in Molecular Psychiatry, baseline data from over a thousand people with major depressive disorder was analyzed. The aim was to predict the severity and chronicity […]
Read More →7 Ways to Utilize Machine Learning in Your Business
by Angela Guess Forbes recently wrote, “Analyzing sales and marketing data and identifying which factors convert leads into customers are two examples of how data collected from your website can help your organization. But did you know that machine learning could help make quick work of both, relieving the need to sift through data manually? […]
Read More →Machine Learning Sheds Light on Global Poverty
by Angela Guess Glen Martin reports in Stanford News, “One of the biggest challenges in fighting poverty is the lack of reliable information. In order to aid the poor, agencies need to map the dimensions of distressed areas and identify the absence or presence of infrastructure and services. But in many of the poorest areas […]
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