The ESWC is a major venue for discussing the latest scientific results and technology innovations around semantic technologies including in knowledge graphs, web data, linked data and the semantic web. The goal of the Semantic Web is to create a Web of knowledge and services in which the semantics of content is made explicit and content is linked to both other content and services allowing novel applications to combine content from heterogeneous sites in unforeseen ways and support enhanced matching between users needs and content. This network of knowledge-based functionality weaves together a large network of human knowledge, and make this knowledge machine-processable to support intelligent behaviour by machines. Creating such an interlinked Web of knowledge which spans unstructured text, structured data as well as multimedia content and services requires the collaboration of many disciplines, including but not limited to: Artificial Intelligence, Natural Language Processing, Databases and Information Systems, Information Retrieval, Machine Learning, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science. For more information about the event please visit the ESWC 2022 website.

Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient's Health and Care Using the Accenture Intelligent Patient Platform NEW YORK; Sept. 21, 2018 – Accenture (NYSE: ACN) has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient's health and overall experience, the bots are part of Accenture's Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon's Alexa. The Ella and Ethan bots are part of the Patient Engagement Support solution in the Accenture Intelligent Patient Platform, a digital health solution that supports patients throughout their healthcare experience, from participation in clinical trials through managing ongoing treatment and wellness. The bots are designed to deliver a more personalized patient experience and better patient support. Ella is a virtual care assistant for patients that provides medication reminders, vitals tracking and appointment scheduling.

Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient's Health and Care Using the Accenture Intelligent Patient Platform NEW YORK; Sept. 21, 2018 – Accenture (NYSE: ACN) has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient's health and overall experience, the bots are part of Accenture's Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon's Alexa. The Ella and Ethan bots are part of the Patient Engagement Support solution in the Accenture Intelligent Patient Platform, a digital health solution that supports patients throughout their healthcare experience, from participation in clinical trials through managing ongoing treatment and wellness. The bots are designed to deliver a more personalized patient experience and better patient support. Ella is a virtual care assistant for patients that provides medication reminders, vitals tracking and appointment scheduling.

The goal of the Semantic Web is to create a Web of knowledge and services in which the semantics of content is made explicit and content is linked to both other content and services allowing novel applications to combine content from heterogeneous sites in unforeseen ways and support enhanced matching between users needs and content. This network of knowledge-based functionality will weave together a large network of human knowledge, and make this knowledge machine-processable to support intelligent behaviour by machines. Creating such an interlinked Web of knowledge which spans unstructured text, structured data (e.g. RDF) as well as multimedia content and services requires the collaboration of many disciplines, including but not limited to: Artificial Intelligence, Natural Language Processing, Databases and Information Systems, Information Retrieval, Machine Learning, Multimedia, Distributed Systems, Social Networks, Web Engineering, and Web Science.

Today's rapid pace of technological change has fundamentally transformed the global outsourcing scene, making outsourcing part of every successful company's strategy. Properly developed, strategic outsourcing substantially lowers costs, risks, and fixed investments while greatly expanding flexibility, innovative capabilities, and opportunities for creating higher value-added and shareholder returns. Traditionally, the main driving factor behind IT & BPO outsourcing was cost-reduction. But lately, apart from cost-reduction, global companies outsource to access knowledge, talent, innovation and expertise that is available and ready to be put into use. It's a knowledge economy, and in knowledge economies global companies gain access to global capabilities and access global knowledge with the aim to stay current, innovate or transform their companies.

The real future of AR is how it can help us get varied content and services which are already in use with a better and improved experience. The speed at which technological changes are taking place is really frightening, and is becoming dynamic. Digital Transformation is a buzz across organizations and everyone is talking about it and wants to ride this wave and be ready. AI, VR, AR, IOT all are leading to a change in the way data is being appreciated and hence has its impact on the marketing industry. These transformations are increasingly breaking path on the way we look at digital and how our interactions are going to be shaped in future providing an unprecedented access to knowledge, data and creative tools.

How do designers make cars safer? They treat them like a school of fish. Safe Swarm, recently unveiled by Honda, uses vehicle-to-vehicle communication to allow cars to pass information on to other cars in the vicinity. For example, alerts about an accident miles up the road could be relayed to cars miles back, enabling them to operate collaboratively and intelligently to avoid accidents and mitigate traffic. The evolution of intelligent things, such as collective thinking car swarms, is one of 10 strategic trends with broad industry impact and significant potential for disruption.

THE traditional telecoms industry is going through massive disruption. Traditional revenue streams for communication service providers (CSPs) are on a decline, while stagnant regulations threaten market nimbleness. To make matters worse, global digital platforms - including Facebook, Google, Apple, and Amazon - are entering the core telecommunication market with innovative business models and technologies, leaving many CSPs to wonder if they can keep up or if they will be displaced. Digital natives are monetizing consumers' data and selling advertising space in order to provide services to users that are generally free. It is very difficult to compete with free, but it is possible to remain competitive despite this challenge.

Artificial intelligence is quickly becoming the next big thing in the tech world. Major companies are investing in the tech, and more and more we're finding AI built into our day-to-day lives. Dries Buytaert, founder of Drupal and chief technology officer at Acquia, is excited to see where AI is going and feels it could be the next big disruptor in the tech world. However, there are concerns and challenges to consider along the way. "It has the opportunity of being sort of the next big platform for creating both user experiences as well as distributing both content and services," Buytaert said of AI. "All of the big tech companies are investing heavily toward this – Amazon, Facebook, Google specifically – they're all making pretty large bets on these technologies," Buytaert told FierceCIO.