Strapi, provider of an open-source “headless” content management system (CMS), announced the stable release of Strapi v4, including a new design system, user interface, plug-in API (application programming interface), database query engine, and improved REST and GraphQL API performance.
Strapi enables developers to build projects fast by providing a customizable API that lets them use their favorite tools. Content teams can use Strapi independently to manage all types of content and distribute it from the central CMS to any channel, including websites, mobile apps, or connected devices. With Strapi v4, Community users are able to:
- Easily create and maintain plug-ins thanks to a new programmatic API and an inclusive Design System optimized for accessibility, thus providing a much smoother experience for both developers and content managers.
- Quickly migrate and upgrade between different Strapi versions.
- Give control to plug-in and application developers on data querying through a more flexible and powerful database query engine.
- Make the REST and GraphQL API simpler, more powerful and customizable.
- Manage the access of the Content API through API Tokens administered from the admin panel to authenticate REST and GraphQL queries.
- Quickly spot and fix errors in applications with standardized error codes and context.
RWS, provider of language, content management and intellectual property services, has embedded semantic AI within its Tridion content platform. The new semantic AI capabilities go beyond traditional approaches to personalization, delivering smart recommendations and intuitive search results that guide customers towards finding accurate answers to their queries. Tridion is an intelligent content platform that enables organizations to create, manage and deliver multilingual digital content and digital experiences to customers, employees and partners across any channel.
Companies can use these new capabilities across their digital experience and self-service platforms, and across internal systems and intranets. Semantic AI will automatically tag content and generate metadata across an organization’s pool of information, following a well-defined knowledge model. This helps ensure content is classified accurately and consistently for any touchpoint, and eases the time-consuming burden of content authors to manually tag content.
Semantic AI is available for the various components of Tridion: Tridion Sites for Web content Management, Tridion Docs for Structured Content Management and Tridion Dynamic Experience Delivery for search and headless content publishing. The new semantic AI capabilities are available through an OEM partnership with the Semantic Web Company.
Cambridge Quantum, a pioneer in quantum software, operating systems, and cybersecurity, and Honeywell Quantum Solutions, which has built high-performing quantum hardware, based on trapped-ion technologies, announced they have satisfied all of the conditions required to close the business combination and formed the new company, now called Quantinuum.
Quantinuum will globally launch a quantum cybersecurity product in December 2021, and later in 2022, an enterprise software package that applies quantum computing to solve complex scientific problems in pharmaceuticals, materials science, specialty chemicals and agrochemicals. It will also announce upgrades to the System Model H1 hardware technologies.
Honeywell will initially be the largest shareholder of Quantinuum with an approximately 54 percent ownership stake in the new company. Honeywell has also invested nearly $300 million in the new venture. Honeywell will also be a supplier to, and customer of, Quantinuum.
Quantinuum has a staff of almost 400 people, including 300 scientists, at inception, with offices in the United Kingdom, United States, Japan, and Germany. Quantinuum will maintain a European headquarters in Cambridge, UK and a North American headquarters in Colorado, US. The company will continue to be entirely platform agnostic in its choice of hardware.
MongoDB, Inc., a modern general purpose database platform, announced that it will make it easier for customers to build, scale, and manage data-rich applications with MongoDB Atlas in AWS Marketplace in calendar Q1 2022. With the launch of a pay-as-you-go MongoDB Atlas with Free Trial in AWS Marketplace, developers will have a simplified subscription experience, and enterprises will have another way to procure MongoDB in addition to privately negotiated offers already supported on AWS Marketplace. There will be no up-front commitments required to use MongoDB Atlas on AWS, and customers will pay only for the resources they use and scale based on their needs. MongoDB is also launching the capability for customers to buy MongoDB Professional Services in AWS Marketplace at AWS re:Invent, providing enterprises with one place to implement, configure, and run MongoDB workloads.
Earlier this year, MongoDB and AWS launched integrations between MongoDB Atlas and AWS Wavelength, Amazon Kinesis Data Firehose, Amazon EventBridge, AWS PrivateLink, AWS App Runner, Amazon Managed Grafana, and more. With today’s new AWS Marketplace integrations, AWS customers can enjoy the benefits of consolidated billing via their AWS account.
MarkLogic Corporation, a complex data integration and portfolio company of Vector Capital, announced it has acquired Smartlogic, a metadata management semantic AI technology solutions provider. As part of the transaction, Smartlogic’s founder and Chief Executive Officer, Jeremy Bentley, as well as other members of the senior management team, will join the MarkLogic executive team. Financial terms of the transaction were not disclosed.
Founded in 2006, Smartlogic has deciphered, filtered, and connected data for many of the world’s largest organizations to help solve their complex data problems. Global organizations in the energy, healthcare, life sciences, financial services, government and intelligence, media and publishing, and high-tech manufacturing industries rely on Smartlogic’s metadata and AI platform to enrich enterprise information with context and meaning, as well as extract critical facts, entities, and relationships to power their businesses.
https://www.marklogic.com/ ■ https://www.smartlogic.com
Jina AI, an open-source neural search company, announced $30 million in Series A financing from Canaan Partners, Mango Capital, GGV Capital, SAP.iO, and Yunqi Partners. The company, founded in February 2020, previously raised $39 million in total. With Jina AI’s core project, which is being built in the open on GitHub, users can create a cloud-native neural search solution with deep learning in a matter of hours. The company recently released another product called Finetuner, which lets users tune a neural search system for unique needs.
Jina AI has a developer community over 1,000, and adoption of its framework, enabling neural search applications for use cases as diverse as 3D assets for gaming content production, images on e-commerce sites and a Q&A chatbot that understands hybrid queries. Many applications built on top of Jina do not have (or need) a classic search box. For example:
- One video game developer embeds Jina in the right-click menu of their 3D game editor, helping game developers auto-fill game assets for the current scene.
- Another European legal-tech startup uses Jina to enable a question-answering experience on their millions of PDF documents, enabling them to pinpoint the crucial facts and terms via chatbot.
Meltwater B.V., a global SaaS provider of media intelligence and social analytics, has entered into a definitive agreement to acquire artificial intelligence start-up DeepReason.ai, a spin-off from Oxford University’s computer science department, for $7.3m in a combination of cash and Meltwater equity including earn-outs contingent on reaching technical milestones and retention requirements.
DeepReason.ai was established in 2018, to focus on the field of AI known as “reasoning”. Their technology is based on the Value Added Data Systems (VADA) research project, which was funded by UK research council EPSRC. This work represents 75 years of aggregate R&D experience, and is overseen by Georg Gottlob, Oxford professor and Fellow of the Royal Society. DeepReason.ai has developed a reasoning engine with an ability to maintain incremental views of knowledge graphs to solve the costly challenge of updating and maintaining complex knowledge graphs at scale.
Meltwater ingests and processes over 800 million documents a day, extracting new information on over 14 million companies, 50 million public personas (such as key decision makers within those companies and social media influencers) and 75 million topics. Every day, this knowledge graph expands by incorporating 2 billion connections to conversations around these companies, public personas and topics.
Databricks, a data and AI company and pioneer of the data lakehouse architecture, announced Databricks Partner Connect, a one-stop portal for customers to discover a broad set of validated data, analytics, and AI tools and integrate them with their Databricks lakehouse across multiple cloud providers. Integrations with Databricks partners Fivetran, Labelbox, Microsoft Power BI, Prophecy, Rivery, and Tableau are initially available to customers, with Airbyte, Blitzz, dbt Labs, and more to come in the months ahead.
In just a few clicks, Partner Connect will automatically configure resources such as clusters, tokens, and connection files for customers to connect with data ingestion, prep and transformation, and BI and ML tools. Partner Connect will also enable customers to discover new, pre-validated solutions from Databricks partners that complement their expanding business needs. With Partner Connect, customers can easily extend their lakehouse into every corner of their data ecosystem to solve current and future challenges.
Partner Connect is now available for Databricks customers at no additional cost; new partner solutions, pre-built lakehouse integrations, machine learning models and libraries, and additional data providers will be added as the ecosystem continues to develop.