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Google Assistant may soon have a web app for lists and notes

Engadget

Google Assistant might soon have its own list- and note-taking functions instead of leaning on third-party apps. The 9to5Google team has sifted through the Google search app's code to discover an unannounced "Lists and Notes" web app for Assistant that lets you jot down important information to sync across devices. It's extremely basic (you can't do much more than add titles), but there's a degree of polish that suggests it's not just an experiment. It's not clear if or when Google might put this app into service. Any such move might leave people scratching their head -- if you already use Google Keep or Google Tasks, why switch to this?


How AI Will Change The Future of Content Marketing - Trust Insights

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Content marketing is one of the hottest areas of digital marketing, but content marketers are overwhelmed by demand. How will content marketers adapt and keep up with never-ending demands on their time and creativity? In this session by Trust Insights co-founder Christopher Penn, learn how AI will impact the future of content marketing. Fill out the short form below to obtain session materials.


E-relevance of Culture in the Age of AI

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Culture, Creativity and Artificial Intelligence will be discussed at an expert seminar in Rijeka, Croatia on 12-13 October 2018. The seminar "E-relevance of Culture in the Age of AI", organised in the framework of the Croatian Chairmanship of the Committee of Ministers of the Council of Europe, will offer sector-specific input to the Council of Europe's work on artificial intelligence. In the presence of the Minister of Culture of Croatia, Ms Nina Obuljen Koržinek, experts and policy makers from the Steering Committee for Culture, Heritage and Landscape (CDCPP) will discuss orientations for working towards a culture of responsible innovation, empowering citizens and laying the foundations for the emergence of a modern Leonardo da Vinci.


Amazon Web Services, C3 expand go-to-market pact

ZDNet

Amazon Web Services and C3 IoT are building on their existing partnership with a wide-ranging go-to-market strategy. The companies said on Wednesday that they plan to increase investments in existing customer deployments, joint sales, technology integrations, a global event series, and training on joint solutions for sales and delivery personnel. The aim is to drive AI adoption among commercial and public sector organizations, the companies said. To date the C3 platform on AWS has been deployed at more than 30 organizations, including John Deere, Engel, Engie, ConEd, 3M and US Air Force. Related: C3 IoT raises $100 million, eyes global expansion 3M taps C3 IoT as Internet of Things, AI platform C3 IoT's Tom Siebel: CEO, boards driving IoT, digital transformation deals Founded by Thomas Siebel, C3 has been expanding rapidly, targeting multiple industries with an IoT analytics platform and close cloud ties to Amazon.


Utilising machine learning, AI and the cloud to deliver a more personalised customer experience

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Paul Armstrong, Principal Solutions Architect, Amazon Web Services: "To deliver a truly personalised travel experience, the first thing airports and airlines need to do is to extrapolate meaningful insights from all of this data to gain a deeper understanding of the customer's journey, so that they can optimise the experience from start to finish." We're going through a shift in technology that is unlike any other in our lifetime, and it's happening at a startling pace – much faster than anybody anticipated," says Paul Armstrong, Principal Solutions Architect, Amazon Web Services. For over 12 years, Amazon Web Services (AWS), a dynamic, growing business unit within Amazon.com, has been one of the world's most comprehensive and broadly adopted cloud platforms. AWS offers over 125 fully featured services from network analytics, machine learning and artificial intelligence (AI), to Internet of Things (IoT), virtual reality (VR) and augmented reality (AR). Trusted by millions of customers around the world, from some of the fastest-growing start-ups, such as Deliveroo, Fanduel, and Monzo Bank, and major enterprises like BP and HSBC, to government agencies, AWS helps businesses to power their infrastructure, make them more agile and lower their costs.



How Google Became an Architect of Reality

Slate

This piece originally appeared on the Conversation. In 1998, Google, formally incorporated in a garage in Menlo Park, California, began humbly providing search results from a server housed in Lego bricks. It had a straightforward goal: make the poorly indexed World Wide Web accessible to humans. Its success was based on an algorithm that analyzed the linking structure of the internet itself to evaluate what web pages are most reputable and useful. But founders Sergey Brin and Larry Page had a much more ambitious goal: They wanted to organize the world's information.


A Methodology for Search Space Reduction in QoS Aware Semantic Web Service Composition

arXiv.org Artificial Intelligence

The semantic information regulates the expressiveness of a web service. State-of-the-art approaches in web services research have used the semantics of a web service for different purposes, mainly for service discovery, composition, execution etc. In this paper, our main focus is on semantic driven Quality of Service (QoS) aware service composition. Most of the contemporary approaches on service composition have used the semantic information to combine the services appropriately to generate the composition solution. However, in this paper, our intention is to use the semantic information to expedite the service composition algorithm. Here, we present a service composition framework that uses semantic information of a web service to generate different clusters, where the services are semantically related within a cluster. Our final aim is to construct a composition solution using these clusters that can efficiently scale to large service spaces, while ensuring solution quality. Experimental results show the efficiency of our proposed method.


Webinar: 10 Lessons Learned Using AI for Claims

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In this 30-minute live webinar, they will discuss firsthand what they've learned from implementing AI and machine learning into claims operations departments across all sizes of commercial insurance companies. The discussion will focus on the following 3 critical components of a successful AI-driven claims operations function.


GeoDev Webinar - Integrating Deep Learning with...

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Last week Rohit Singh and Alberto Nieto hosted a GeoDev Webinar on "Integrating Deep Learning with ArcGIS Using Python". We had a lot of great questions come out of the webinar and will be updating this post to add the Q&A that were not addressed during the webinar. Many viewers requested to have access to the PowerPoint presentation, and the presenters were more than happy to share. In their presentation, they offered access to their demos and resources that may be helpful for those developing in Python. Did you miss the webinar?