Graph Convolutional Networks (GCNs) are predominantly tailored for graphs displaying homophily, where similar nodes connect, but often fail on heterophilic graphs. The strategy of adopting distinct approaches to learn from homophilic and heterophilic components in node-level tasks has been widely discussed and proven effective both theoretically and experimentally. However, in graph-level tasks, research on this topic remains notably scarce. Addressing this gap, our research conducts an analysis on graphs with nodes' category ID available, distinguishing intra-category and inter-category components as embodiment of homophily and heterophily, respectively. We find while GCNs excel at extracting information within categories, they frequently capture noise from inter-category components. Consequently, it is crucial to employ distinct learning strategies for intra- and inter-category elements. To alleviate this problem, we separately learn the intra- and inter-category parts by a combination of an intra-category convolution (IntraNet) and an inter-category high-pass graph convolution (InterNet). Our IntraNet is supported by sophisticated graph preprocessing steps and a novel category-based graph readout function. For the InterNet, we utilize a high-pass filter to amplify the node disparities, enhancing the recognition of details in the high-frequency components. The proposed approach, DivGNN, combines the IntraNet and InterNet with a gated mechanism and substantially improves classification performance on graph-level tasks, surpassing traditional GNN baselines in effectiveness.

Intranets and extranets are not out of the technology race. They were ignored for their own perspective by users. Intranet and extranet were left unattended and neglected due to emerging futuristic technologies. The growth of technology has pushed people to look for information in the World Wide Web rather than an intranet or extranet source. As Artificial Intelligence comes for dead technologies rescue through collaboration, it could find a way to stabilise and re-establish both the sources.

Let's look at one of the real-life examples of a customer who is on its journey to reinvent its audit platform for the future. Where scalability meets compliance, DITA is often the best approach to structuring content. Challenge: The consulting firm had faced the challenge of producing, updating, publishing, distributing and managing content in many languages, covering multiple jurisdictions, while integrating with authoritative content from varied sources. Additionally, the firm serves divergent audiences including content producers and consumers, both internally and across its global client base. They needed a collective and intelligent approach to make their operations easy to manage, efficient and future-ready.

The European parliament has insisted it has no plans to introduce facial recognition technology after a leaked internal memo discussing its use in security provoked an outcry. A page on the European parliament's intranet, seen by the Guardian, suggested that facial recognition could be used "in the context of biometric-based security and services to members [MEPs]". Titled "artificial intelligence for better services", the page discussed how such technologies, including facial recognition and AI-assisted translation, would have "consequences on working methods, processes, staff profiles and the contracting of services". The page on the parliament's 2019-21 "digital transformation programme" was removed on Wednesday after a prominent MEP and staff unions questioned the potential use of facial recognition in the parliament. A spokesperson for the parliament said: "There is no project of facial recognition in the European parliament," adding that it was "not foreseen at any level".

Earlier this month, the Stamford, Conn.-based research organization ISG published its 2019 ISG Provider Lens Social Business Collaboration (subscription required) report. Like all such reports, it makes for interesting reading and focuses on the vendors that are developing quickly in this space. It showed that Workplace by Facebook, for example, has gained significant traction since its initial launch almost three years ago with the familiarity and popularity of the Facebook user interface making Workplace deployments faster, as employees require little or no training. Igloo Software was also named a leader for its "modern outlook toward the traditional intranet," the report noted. Other leaders in ISG's Enterprise Social Collaboration Solutions quadrant included Microsoft and Slack.

Every day, we are introduced to new intranet platforms, and along with the brand new features and solutions. Opportunities to upgrade abound – but how much business sense does it even make? How can companies make well-informed decisions about if/when to upgrade after a release has been announced? Given the competitive business benefits an intranet offers, the logical solution does seem to be upgrading as often as possible. However, upgrading does come with a hefty price tag and more importantly, quite a lot of disruption. The answer for organizations lies in striking an efficient balance in order to truly leverage the benefits of an upgrade.

Having already invested in building an engaging digital workplace to drive employee productivity, many firms are looking closely at simple AI technology to heighten this experience even further. From voice-activated search becoming the norm, to IoT devices making the leap from home to the office and the increasing use of AI and robotic process automation, the digital workplace landscape is changing into the intelligent workplace and it's all about flexibility and integration here on out. By 2020, Gartner predicts over 50% of medium to large enterprises will have deployed product chatbots. Further, IDC forecasts global spending on cognitive and AI systems will grow to $19.1 billion this year, and grow to $52.2 billion by the end of 2021. Adding an AI layer to the digital workplace to spur intelligent transformation is expected to be one of the early areas of investment in the enterprise as companies push to use technology to further push worker productivity.

With the business landscape changing more rapidly than ever before, the intranet must adapt and change to remain a business-critical tool. An organisation's digital workplace should be ever-evolving; enterprise platforms need to be improved to meet developing needs and support the business strategy. Continual care is needed to ensure systems are aligned with the organisation's goals. The intranet should meet the varying needs and wants of its users, enabling them to do their daily work without friction. When developing or redeveloping the intranet, it's important to consider multiple options, rather than assuming a certain direction or following'where the technology leads'.

Abhishek brings with him 12 years of strong expertise across the Microsoft stack. He has consulted with clients globally to provide solutions on technologies such as SharePoint, Office 365, Azure, System Center and Enterprise Mobile platforms. He has worked with clients across multiple industry domains including BFSI, FMCG, Manufacturing and Telecom.

While everyone is talking about AI, I've a feeling pretty much everyone is getting it wrong. Historically we make the same mistakes, we swap out an old technology with a new one, rather than building around what's newly possible. In our need to be seen to be quick, to get the headlines for innovation, to excitedly embrace the new we ruin everything that is new and transformative, and instead limit the benefits with mere augmentation. This is a peek into the thinking within my book, published next year. We've made the exact same mistakes before... TWICE Electricity didn't change the world overnight, it took more than 30 years for industry and society to unleash its transformative power.