Macao Special Administrative Region (SAR) Chief Executive Office Director O Lam and President of Alibaba Cloud Hu Xiaoming sign the Strategic Cooperation Framework Agreement to Build Smart City at a ceremony presided by SAR Chief Executive Chui Sai On (2nd R) and the board of directors of Alibaba Group Jack Ma (2nd L), in Macao, south China, Aug. 4, 2017. Macao and Alibaba Cloud will work together to upgrade the SAR into a smart city by applying cloud computing and artificial intelligence (AI), according to the agreement signed on Friday. MACAO, Aug. 4 (Xinhua) -- Macao and Alibaba Cloud will work together to upgrade the special administrative region (SAR) into a smart city by applying cloud computing and artificial intelligence (AI), according to an agreement signed on Friday by Macao SAR government and Alibaba Cloud. Macao SAR Chief Executive Office Director O Lam and President of Alibaba Cloud Hu Xiaoming signed the Strategic Cooperation Framework Agreement to Build Smart City at a ceremony presided by SAR Chief Executive Chui Sai On and the board of directors of Alibaba Group Jack Ma.
A major part of the strategy should include machine learning (ML) solutions. Both types of devices provide an interactive experience for the users due to Natural Language Processing technology. The immense volume of support tickets makes the task lengthy and time consuming. If automated via ML, the HR can let the machine predict candidate suitability by providing it with a job description and the candidate's CV.
Making AI really good requires a lot of data to "train" sophisticated machine learning algorithms. But even if the company can build a voice-based AI that can really understand a wide variety of requests, I'm still skeptical it will change the smartphone game as much as Google hopes. It's easy to be skeptical of this kind of thing, since the existing smartphone "personal assistant" technologies aren't very good. But even if Google manages to build a sophisticated voice assistant that can respond to a wide variety of requests, I'm skeptical that will give Google a significant leg up in the smartphone wars.
Venture-backed smart tech assistant startup Drippler has launched a new tech support chatbot that helps users resolve technical issues and provides personalised recommendations for useful tips and apps. Drippler's chatbot feature provides an alternative to the outdated tech support call centre model that many companies still use. Amazon made headlines for its artificially intelligent personal assistant chatbot Alexa, which is embedded in its voice-activated bluetooth speaker device Echo. Earlier this year, Microsoft's AI chatbot Tay made headlines for its inappropriate tweets.
COLORADO SPRINGS, CO--(Marketwired - October 05, 2016) - Cherwell Software, a global leader in IT service management (ITSM) solutions, announced today to customers at its annual conference that the Cherwell Service Management platform is utilizing Microsoft Azure Machine Learning to integrate predictive analytics into its ITSM solution. Azure Machine Learning, part of the Microsoft Cortana Intelligence Suite, provides a cloud-based service that enables companies to apply statistical techniques to large amounts of data and leverage analytics to solve problems and create smarter applications. By integrating Azure Machine Learning with Cherwell Service Management, Cherwell has introduced the next generation of service management," commented Dawson Stoops, VP of Technical Alliances at Cherwell. Cherwell Service Management is built on a flexible, codeless platform, empowering Cherwell customers to rapidly embrace new innovations such as machine learning and artificial intelligence to enrich the service management experience of their business users.
Austin--Microsoft Ventures has invested in Austin artificial intelligence startup CognitiveScale, filling out its Series B investment round to more than 25 million, the company reported Tuesday. The Microsoft investment will go towards developing artificial intelligence software for the computing giant's Microsoft HoloLens and Microsoft Azure products, according to a press release. HoloLens is Microsoft's "mixed reality" wearable headset, while Azure is a cloud computing service touted by Microsoft CEO Satya Nadella as the "first artificial intelligence supercomputer," according to a report by ZDnet yesterday. "With our investment, we aim to propel the development of new mixed reality experiences enabled by cognitive computing--CognitiveScale's products and team of experts are great partners to bring new offerings to market," Nagraj Kashyap, Microsoft Ventures' corporate vice president, said in the release.
Even the tools and methods used to create AI (machine learning, deep neural networks, etc.) AI, machine learning, neural networks…all of those require massive processing power, and the cloud is the perfect vehicle to deliver that power as it can utilize multiple processors and devices instead of relying on one big processor. The company's cloud processing is not based on just traditional central processing units (CPUs), but also graphical processing units (GPUs), which can handle parallel processing much better. Amazon also has its own GPU-powered cloud computing service that handles everything from seismic analysis to genomics.
But products that invade our personal spaces -- like Amazon's Echo and Google Home -- point to a larger shift in human-device interaction that is currently underway. "I think voice changes the way people interact with their systems," says Françoise Beaufays, a research scientist who works on speech recognition at Google. The string of seemingly random words would instantly pull up search results on google.com But when speech recognition started to take shape with smartphone assistants, Beaufays says there was a clear change in communication. While a verbal exchange with a virtual assistant can make it easier to get things done, it also makes it easier for the companies to gain invaluable insight into the human world that's filled with vocal clues to feelings and preferences.
The availability of open data sets, open source development models, and powerful (yet low-cost) hardware has allowed researchers to test and improve deep learning algorithms at a rapid pace. And finally, the tighter coupling and co-evolution of hardware and software has advanced deep learning technologies in particular and promises to advance AI in general. Intel offers compute, storage, network, and memory components for deep learning software. Intel's acquisition of Nervana brings us a full stack of datacenter capabilities for deep learning, such as custom hardware designed to accelerate neural networks to low-level software kernels, and higher order software functions that enable cloud-services for image classification and speech recognition.
Much of the claim is based on technology stemming from a group of companies acquired in the past year, and on software embedded in a platform the company calls "Einstein". It said its Einstein platform "will make every customer interaction smarter", and announced enhancements to its Salesforce1 Mobile App, Salesforce Platform and IoT Cloud. However, it is the cloud applications supplier's "Einstein" platform – announced on 18 September 2016, on the first day of rival Oracle's Open World conference, most likely in a move to deflect publicity from that event – which seems to be the most distinctive element of the new developments. The platform, as imbued in the supplier's CRM software, will draw on customer data from its Chatter social collaboration platform, email, calendar and e-commerce, and social data streams "to train predictive models".