Acquia announced Acquia Digital Commerce, a solution to enable marketers to unify data, content, commerce, and digital merchandising into a single data layer to deliver a seamless omnichannel experience across the customer lifecycle. Using Acquia Digital Commerce with Acquia Open Digital Experience Platform (DXP), marketers can drive real-time, personalized, shoppable experiences at every customer touchpoint. Together with partners commercetools and Lucidworks, Acquia has built a composable commerce solution, giving marketers flexibility to create digital experiences across the customer journey. Acquia Digital Commerce delivers the agility to build digital experiences across every channel, and the flexibility to support multi-tenant architectures and composable, multi-site experiences. With a microservices-based architecture, Acquia Digital Commerce helps ensure repeatability and reuse to drive standardization and compliance, and enables continuous refinement and testing to optimize results.
Teams can maximize their commerce investments by integrating this headless, cloud-native shopping platform with Acquia Open DXP. commercetools provides an omnichannel shopping platform and the Lucidworks AI-powered product discovery solution delivers personally relevant products and content to customers. Today also marks the launch of the Acquia DX Alliance, the company’s open technology partner community, to drive collaboration through an ecosystem of leading technology vendors providing choice and jointly delivering interoperable solutions that extend Acquia Open DXP.
eccenca released version 20.12 of its knowledge graph software eccenca Corporate Memory. The latest releases consolidates their mission to make semantic data management technologies enterprise-ready and usable for business users. By focussing on user experience and performance eccenca Corporate Memory provides a wide array of access and integration points, a ready-to-use query catalogue, tools for data automation as well as the means for a detailed and transparent data governance. In past releases eccenca introduced enterprise-ready interactive graph visualization, automation tools for data migration and normalization, REST-API connections to query data from 3rd party applications, and mechanisms for data protection and access management. eccenca Corporate Memory 20.12 benefits:
Simplified building process: The DataIntegration workbench unifies all relevant views.
Powerful, easy-to-use reporting: Integrated connectors allow the creation of dashboards and data visualizations directly in Microsoft Power BI and Redash.
Business-user friendly data exploration: The catalogue of declarative data queries allows business users to access and explore data without coding.
Workflow automation: The updated cmemc command line tool simplifies the execution of workflows like dataset creation, update and deletion as well as updating vocabularies.
Ready for internationalization: Localization of the user interface and metadata with i18n language integration.
Enhanced data transparency and understanding: Statement annotation allows definition and documentation of additional metadata for a shared understanding of enterprise data across departments.
GraphQL, REST, and NodeJS APIs
Easily customizable ReactJS Admin
Extensible user Authentication & Access Control
Field-based content Localization
Powerful field types including a layout builder
Payload is free for local and development purposes, and production licenses are priced competitively at $22 per month if paid annually.
This certainly caught me off guard. Graph databases have been leading the popularity contests for the last five or six years, but in the last twenty four months Time Series databases have leapt ahead, as this DB-Engines chart dramatically demonstrates. Peter Wayner looks at why.
Business models based on being both a publisher and a platform have always been fraught. In some ways Medium has managed this better than most. They just acquired “social ebook platform” Glose, but it’s not clear how this fits into their platform/publisher model. One clue may be Ev Williams’ earlier statement that Medium’s…
top-line metric is “TTR,” which stands for total time reading. It’s an imperfect measure of time people spend on story pages. We think this is a better estimate of whether people are actually getting value out of Medium.
But in a short post about the acquisition Williams says they “are not planning to bundle books into Medium Membership, though there could be book-related benefits. TBD.”
Ethical issues in privacy, advertising and machine learning
Informed and interesting interview with Oxford philosopher Dr. Carissa Véliz. Don’t worry, this is not a long dry treatise, but an engaging and accessible discussion that does not require a technical or philosophical background.
Both search engine developers and users treat facets as useful for refining broad search queries. But there’s a tendency to conflate broad queries with ambiguous queries. There’s an important distinction between the two.
Fortunately, we have the ever-reliable Daniel Tunkelang to explain.
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 also publish curated content technology news weekly We do not sell or share personal data.
Google introduced “ToTTo: A Controlled Table-To-Text Generation Dataset”, an open domain table-to-text generation dataset created using a novel annotation process (via sentence revision) along with a controlled text generation task that can be used to assess model hallucination. ToTTo (shorthand for “Table-To-Text”) consists of 121,000 training examples, along with 7,500 examples each for development and test. Due to the accuracy of annotations, this dataset is suitable as a challenging benchmark for research in high precision text generation. The dataset and code are open-sourced on our GitHub repo.
In the last few years, research in natural language generation, used for tasks like text summarization, has made tremendous progress. Yet, despite achieving high levels of fluency, neural systems can still be prone to hallucination (i.e.generating text that is understandable, but not faithful to the source), which can prohibit these systems from being used in many applications that require high degrees of accuracy.
While the process of assessing the faithfulness of generated text to the source content can be challenging, it is often easier when the source content is structured (e.g., in tabular format). Moreover, structured data can also test a model’s ability for reasoning and numerical inference. However, existing large scale structured datasets are often noisy (i.e., the reference sentence cannot be fully inferred from the tabular data), making them unreliable for the measurement of hallucination in model development.
Medium announced the acquisition of Glose, a social digital book platform based in Paris, France. Founded in 2014, Glose reaches more than one million readers in 200 countries. With a range of fiction and nonfiction, Glose carries ebooks and audiobooks from all major publishers, including Penguin Random House, HarperCollins, Macmillan, Hachette, and Simon & Schuster.
Medium supports a wide range of publishing, from short blog posts to in-depth investigative journalism, and everything in between. With the integration of Glose, Medium will have more than 1.5 million books available within its ecosystem. Readers will be able to find more of what they are looking for by an author or on a subject, and writers can have their different content forms all in one place, elevating their voice and perspective. Built as a reading hub, Glose allows readers to access ebooks and audiobooks on any device: laptop, tablet or smartphone, online and offline. On Glose, readers can create booklists, engage in reading groups, share highlights and annotations of the books they read, follow their daily and weekly reading activity, and set personal reading goals.
X1, announced the availability of X1 Social Discovery On-Demand, a solution for the outsourced preservation and collection of social media data and website content. Full metadata collections and PDF reports from the X1 Social Discovery software can now be had within hours by corporate clients, law firms, investigators, law enforcement and government entities, with no hardware, software, staff investment or training required. Unlike other types of information, social media data can be challenging to preserve and collect due to constant changes in the underlying social media platforms themselves. Preserving and collecting social media information has become increasingly difficult, especially all-important ‘metadata’ which can corroborate or dispute key claims or defenses made in court.
With X1 Social Discovery On-Demand, organizations can begin receiving forensically collected social media and website data within hours of a request being made. Customers of X1 Social Discovery On-Demand simply contact X1 to initiate the preservation and collection for them with X1 returning to the customer a PDF and/or load file output. Customers are able to take advantage of this end-to-end solution provided by X1 in a secure cloud instance of X1 Social Discovery On-Demand. X1 can accommodate credentialed or non-credentialed collections.
In addition, Oracle announced the availability of Oracle APEX (Application Express) Application Development, a new low-code service for developing and deploying data-driven enterprise applications quickly and easily. The browser-based, low-code cloud service enables developers to create modern web apps for desktops and mobile devices using an intuitive graphical interface.
Oracle Database 21c is the database engine that powers Oracle database services in the cloud and on-premises, including Oracle Autonomous Database, Oracle Exadata Database Service, Oracle Exadata Database Cloud@Customer, and Oracle Exadata Database Machine.