Curated for content, computing, and digital experience professionals

Year: 2020 (Page 22 of 44)

Agility CMS announces rebuilt Content Modeling software

Agility CMS has rebuilt its Content Modeling feature, improving the ability for users to create and update content and content relationships quickly and easily. Agility CMS takes a structure-first approach to designing content, creating an organized model that makes content easy to understand and process. Content modeling features:

  • A hub for content – Customize content models right in the CMS using Agility’s visual builder.
  • An optimized editor experience – Group fields together, set required fields, default values and much more.
  • A future-proof platform – Define structured content that is decoupled from the presentation layer.
  • An evolving content model – Switching from editing content to your definition allows for quick updates and promotes iterating on your content models.

https://agilitycms.com

Qlik announces enhancements to Insight Advisor

Qlik announced enhancements to Insight Advisor, its AI assistant built into Qlik Sense, to deliver augmented intelligence capabilities for cloud analytics. Drawing on Qlik’s Associative Engine, combined with natural language processing (NLP) and cognitive technology. Users can interact with Insight Advisor in a variety of different ways, including search-based visual analysis (NLP-driven), conversational analytics (chat), associative insights to expose hidden data relationships, assistance with creation and data preparation, and advanced analytics calculation and integration. Updated features include:

  • Insight Advisor Chat – A new, fully conversational analytics experience native to Qlik Sense SaaS, available in the Qlik Sense hub in multiple languages. Uses NLP and natural language generation to understand user intent and generate both narrative and visual responses.
  • Business Logic – Ability to create business rules and metadata to customize and guide Insight Advisor’s behavior when generating insights and understanding natural language.
  • Advanced Analytics Calculation – A new function, K-Means Clustering, allows data points to be grouped together based on similarity and is highly useful for customer segmentation, fraud detection and many other use cases. In addition, Insight Advisor will now auto-generate cluster and correlation charts in search-based visual analysis.
  • Search-based Visual Analysis on Mobile – In addition to Chat, search-based insight generation is now available on handheld devices.

https://www.qlik.com/us/company/press-room/press-releases/qlik-expands-insight-advisor-to-deliver-robust-ai-driven-experience

DataStax announces availability of Storage-Attached Indexing (SAI)for Apache Cassandra

DataStax announced the general availability of Storage-Attached Indexing (SAI) for Apache Cassandra available on Astra and DataStax Enterprise (DSE). DataStax has also opened a Cassandra Enhancement Proposal (CEP) with the Apache Cassandra project to share this with the open source community. With Storage-Attached Indexing, developers now have accessibility to familiar indexing and queries – such as WHERE clauses – in Apache Cassandra. Storage-Attached Indexing is an index implementation that enables users to index multiple columns on the same table without scaling issues. The benefits of Storage-Attached Indexing include:

  • Improved stability
  • Significantly reduces disk usage
  • Improved numeric range performance
  • Releases constraints to data modeling and barriers to scale-out
  • Features modern and expected indexing features on Apache Cassandra

https://www.datastax.com/press-release/datastax-lowers-barriers-nosql-adoption-storage-attached-indexing-apache-cassandra

Gilbane Advisor 9-9-20 — schema.org, AI ops, IT arch, NLP

Who benefits from schema. org?

Schema.org, linked data, and knowledge graphs are powerful tools for organizing and navigating vast amounts of information. Much of the current energy around these tools is related to SEO and search engines, especially Google, who depend on them to provide a better search experience. These same tools help commercial and corporate publishers deliver better, and more unique, web experiences to researchers and other content consumers.

We all have a stake in how well these tools work, so we need to understand the process of creating and managing them, and how stakeholders share the cost, risk, and benefit of the raw material, technical development, and maintenance.

schema.org logo

Content strategist Michael Andrews’ deep dive into the history and process behind schema.org’s management is an enlightening read for stakeholders.

Taming the tail: adventures in improving AI economics

Martin Casado and Matt Bornstein focus on the business models and challenges of machine learning companies and products, which are more unique than you might realize and something we need to learn a lot more about. We recommended an earlier article of theirs on the differences between the business models of AI companies and software companies. This article is a follow-up and provides some guidance on how to deal with some of the challenges previously identified. Especially interesting is their example of long-tailed distributions to illustrate the importance problem understanding. 

Headless meets serverless – a tierless architecture for frictionless enterprise

The components of modern enterprise IT architectures have changed considerably in the last few years.  The use of APIs, microservices, XaaS (everything as a service), headless, and serverless approaches have, individually and especially in conjunction, become strategically critical. As Phil Wainewright puts it…

As these connected digital technologies mesh together, they begin to reshape the nature of the enterprise, opening up new ways to collaborate, connect and do business. We are still at the very beginning of adjusting to what this means for how we live and work.

Wainewright explains what these technologies are, describes related activity and trends, and makes a case for a tierless model. His article is relevant and will be helpful to both IT and business managers.

The field of natural language processing is chasing the wrong goal

Researchers are too focused on whether AI systems can ace tests of dubious value. They should be testing whether systems grasp how the world works.

Also…

The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We do not sell or share personal data.

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Translations.com announces GlobalLink Connect integration for Shopify

Translations.com, the technology division of TransPerfect announced that it has built and launched a new GlobalLink Connect integration with Shopify. The integrated solution allows users to create translation requests within Shopify’s admin panel and take advantage of GlobalLink Connect’s translation workflow management without leaving the familiar interface of the Shopify platform. GlobalLink Connect provides an all-in-one solution to initiate, automate, control, track, and complete all facets of the translation process. By combining the Shopify platform with the extended localization workflow capabilities of GlobalLink, organizations gain enterprise-level multilingual content management and deployment capabilities with minimal project management and virtually no IT burden. GlobalLink Connect supports the following content types within the Shopify ecosystem:

  • Online Store theme, store article, store blog, and store page
  • Product and product variant
  • Shop and shop policy
  • Delivery method definition
  • Payment gateway
  • Email and SMS template
  • Product option
  • Collection, Metafield, and link

https://www.translations.com

Nuxeo updates Salesforce Connector for Content Management

Nuxeo announced that their updated Salesforce Connector for Content Management enables tighter integration with Salesforce with support for its new Lightning Experience. The integration ensures that appropriate information is available to any authorized Salesforce user, while behind the scenes, this content remains securely managed by Nuxeo. These users are able to fully interact with this content without switching between apps, including viewing, editing, and adding new documents. The Nuxeo Salesforce Connector exposes a wide range of Nuxeo content services. Users can quickly access content in the context of a Salesforce object, either by linking a Salesforce object to a Nuxeo folder or by linking the object to a configurable query. Salesforce users can also execute global searches across the Nuxeo repository and federated content sources to access additional content and other customer information, like emails, SMS messages, and social media content.

https://www.nuxeo.com/blog/salesforce-innovation/

Episerver to acquire Optimizely

Episerver announced that it has entered into a definitive agreement to acquire Optimizely. Bringing together Episerver’s ability to create digital experiences through content and commerce with Optimizely’s ability to experiment and optimize across touchpoints lets marketers build experiences that get smarter over time. Subject to customary closing conditions and attainment of regulatory clearances, the acquisition is expected to close in Q4 of 2020. Until such closing, the companies will continue to operate independently. The combination creates a unique system of differentiation to:

  • Inspire Innovation: Running better experiments across both front-end layouts and back-end logic, with easy-to-use tailored recommendations.
  • Increase agility: Gaining real-time answers accelerates collaboration and creates more responsive customer experiences for improved lead generation.
  • Improve outcomes: Measuring outcomes of different options allows digital teams to orchestrate unique digital experiences for each customer.

https://www.episerver.com/company/press-room/episerver-to-acquire-optimizely-the-worlds-leading-experience-optimization-platform, https://www.optimizely.com

Xanadu releases Quantum Cloud platform

Photonic quantum computing company, Xanadu, announced the release of the first publicly available photonic quantum cloud platform. Developers can now access Xanadu’s gate-based photonic quantum processors, in 8, 12, and soon 24 qubit machines. 

Photonics based quantum computers have advantages over older platforms. Xanadu’s quantum processors operate at room temperature. They can easily integrate into existing fiber optic-based telecommunication infrastructure, enabling a future where quantum computers are networked. It also offers great scalability supporting fault tolerance, owing to robust error-resistant physical qubits and flexibility in designing error correction codes. Xanadu’s unique type of qubit is based on squeezed states – a special type of light generated by their own chip-integrated silicon photonic devices.

Xanadu’s partners and customers are currently testing solutions on the pre-release Xanadu Quantum Cloud. These include academic institutions, quantum startups, and national labs including Creative Destruction Labs, Scotia Bank, BMO and Oak Ridge National Laboratory (ORNL). Now the company will be extending access to a number of new enterprise clients who are seeking to leverage quantum computing to solve their most complex problems.

In addition to Xanadu Quantum Cloud, developers will use Xanadu’s open-source tools widely available on Github. These include Strawberry Fields, its cross-platform Python library for simulating and executing programs on quantum photonic hardware and PennyLane, its software library for quantum machine learning, quantum computing, and quantum chemistry. The community includes a vast array of tutorials and educational materials for users of all levels of experience to begin developing and experimenting with quantum applications. 

The enterprise adoption of quantum computing is in the early stages of development, but access to photonic quantum computing over the cloud will give developers across industries and academia the chance to explore potential business applications. Open access educates and drives interest towards new, concrete implementations that demonstrate the future of computing. Xanadu’s processors provide researchers and developers with novel approaches that are unique to solve problems in finance, quantum chemistry, machine learning, and graph analytics. 

https://xanadu.ai

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