The long view on telecommunications networking is automation of management and operational processes. This is highlighted with the advent of 5G, which is designed to provide connectivity for billions of new devices with a wide range of service requirements–the sheer complexity of future networks will command automation. For enterprise and industrial network users, automation is also a long-term goal given the business value created by lowering operational expenditures as a function of added efficiency but also lowered human costs. The path from the current status quo to this automated future isn't necessarily clearly charted, but there's consensus around the key roles of machine learning and artificial intelligence in creating automated network environments. With its global scale and long history in the business of providing cloud computing services, Oracle has dealings with both massive global enterprises and telecommunications service providers.

Not only can you follow the work happening in different domains, but you can also collaborate on multiple open source projects. All tech companies, from Google to Facebook, upload their open source project codes on GitHub so the wider coding / ML community can benefit from it. But, if you are too busy, or find following GitHub difficult, we bring you a summary of top repositories month on month. You can keep yourself updated with the latest breakthroughs and even replicate the code on your own machine! This month's list includes some awesome libraries. From Google Brain's AstroNet to an artificial neural network visualizer, we have curated a list of unique repositories that will expand your machine learning horizons.

During CEBIT 2018, Huawei unveiled several of its latest IoT and AI products designed to help enterprises create'intelligent' transformation. Huawei's President of Global Marketing, Qiu Heng, delivered a keynote speech in which he spoke of how the IoT and AI are enabling businesses to connect the physical and digital world. The company's OceanConnect IoT platform has been upgraded to support connected cars systems. Connectivity enablement: The platform provides safe, reliable connectivity for vehicles, supporting hundreds of millions of connections and concurrent access from millions of vehicles. The flexible platform supports deployment in private, public and hybrid clouds, accommodating their different architectures.

Well, it was bound to happen. Over the past several months, smartphone manufacturers have been hungering for a new hook -- a new way to make mobile devices seem fresh, exciting, and wallet-worthy at a point when last year's models still seem perfectly fine to most people. It's a cycle we've seen in AndroidLand plenty of times before. In the early days, each new iteration of a phone was faster than the last. Then came the display resolution phase.

The robot mimics the moment of a human operator via a 5G network carrying signals from sensors all over the operator's body. The creators hope that the robot could be used to carry out work that is too dangerous for humans.

The outsourcing industry has always functioned in a state of flux. It's had to face a host of political scenarios and changing customer expectations. However, with the proliferation of Robotic Process Automation solutions, now it has to face the falling advantage of foreign labour. Does this spell the end of offshore outsourcing as we know it? With the rise of RPA products, some could argue that this is a mere opportunity for the outsourcing industry to transform; this may well bare some truth. Some could even make the point that the two sectors have the potential to combine.

Ping An Insurance (Group) Company of China, Ltd is the first joint-stock insurance enterprise in China. It has developed into an integrated services conglomerate that blends its financial services such as finance and insurance, banking, and investment management to create an integrated, compact, and diversified business profile. In 2017, Ping An ranked first among the world's 100 most valuable insurance brands. Ping An Technology was founded in 2008 as a wholly-owned subsidiary of Ping An Group. It is mainly responsible for developing and operating critical platforms and services that support the efficient development of insurance, banking, investment and internet businesses of the Group.

In an increasingly complex scenario for network management, a solution that allows configuration in more autonomous way with less intervention of the network manager is expected. This paper presents an evaluation of similarity functions that are necessary in the context of using a learning strategy for finding solutions. The learning approach considered is based on Case-Based Reasoning (CBR) and is applied to a network scenario where different Bandwidth Allocation Models (BAMs) behaviors are used and must be eventually switched looking for the best possible network operation. In this context, it is required to identify and configure an adequate similarity function that will be used in the learning process to recover similar solutions previously considered. This paper introduces the similarity functions, explains the relevant aspects of the learning process in which the similarity function plays a role and, finally, presents a proof of concept for a specific similarity function adopted. Results show that the similarity function was capable to get similar results from the existing use case database. As such, the use of similarity functions with CBR technique has proved to be potentially satisfactory for supporting BAM switching decisions mostly driven by the dynamics of input traffic profile.

Globe Telecom is the leading full service telecommunications company in the Philippines, serving the needs of consumers and businesses across an entire suite of products and services including mobile, fixed, broadband, data connections, internet and managed services. Accounting for more than 50% of the Philippines' mobile revenues, Globe Telecom leads the mobile market, while also generating one-third of the country's fixed broadband revenues and enterprise data connections. To enhance customer experience for its 60 million customers, Globe Telecom looked into the use of machine learning to deliver real-time targeted marketing and optimised products and services, while maintaining compliance with the latest industry data regulations in the country. According to Chief Technology and Information Officer and Chief Strategy Officer of Globe Telecom Mr Gil Genio, the company strives to enable its customers to live a digital lifestyle that is supported by its robust and pervasive mobile network. Given the increasing number of Internet of Things (IoT) devices, Globe Telecom's mobile data volumes grew by 66% in 2017, reaching 600 petabytes (PB).

Facebook's data-sharing deals with device-makers included China's Huawei -- a company viewed with suspicion by U.S. intelligence agencies. Here, an ad for the Huawei P20 smartphone is seen in China last month. Facebook's data-sharing deals with device-makers included China's Huawei -- a company viewed with suspicion by U.S. intelligence agencies. Here, an ad for the Huawei P20 smartphone is seen in China last month. Facebook's longstanding agreements that led it to share users' data with device-makers included Chinese phone-maker Huawei – a company of which the U.S. government has long been suspicious, and which intelligence officials view as a security threat.