Elastic announced a single management interface for Elastic Enterprise Search in Kibana, updated App Search precision tuning capabilities, and content source flexibility and synonym support for Workplace Search in the 7.14 release of Elastic Enterprise Search. Elastic Enterprise Search can now be centrally managed in Kibana, the single management interface for all Elastic solutions. With this beta integration, users can access App Search and Workplace Search features with consistent, cross-platform navigation in Kibana to create new engines, tune query relevance, manage user access, and customize visualizations.
Elastic also introduced precision tuning, now in beta and available in Kibana and via the App Search API. Users can narrow or broaden their search results by adjusting precision and recall settings on their search engine with a precision tuning slider.
Elastic released new indexing flexibility to prebuilt data integrations with more configurability for content source synchronization in Workplace Search. Customers can specify which objects to synchronize or exclude when ingesting content sources, including object type, path or location, file type, and field. Synonym support is also available in Workplace Search, enabling customers to create relationships between search terms and tailor results without reindexing.
Sinequa, a provider of Intelligent Enterprise Search announced the launch of Sinequa for Microsoft Teams. The Sinequa platform offers a single access point to surface relevant insights both from within and outside the Microsoft ecosystem. Built for Azure and Microsoft 365 customers with Teams, Sinequa has extended its search technology to Teams to help enterprises elevate productivity and enable better decision-making all in one place.
- Improve information findability. Now, employees can have a single access point to content stored within and outside the Microsoft ecosystem.
- Data and content intelligence. Data within the enterprise is largely unstructured content. The Sinequa platform ingests, analyzes, and learns from data and content, while allowing employees to use natural language to surface it quickly.
- Strengthen collaboration. Easily share content without duplication and uncover expertise without needing to know where to find it.
- Remove friction from workflows. Not all content is created equal, and every job has a very different workflow. With a 360-degree view of any topic – such as customers, products, issues, processes, and much more -employees have everything they need to make informed decisions. An advanced analytics dashboard helps provide this complete view by cross-analyzing and connecting content from diverse sources.
Widen, maker of digital asset management (DAM) and product information management (PIM) software, and Clarifai, an AI lifecycle platform provider for managing unstructured image, video, text, and audio data, announced an advancement in their partnership. Clarifai, which powers AI metadata tagging in the Widen Collective, has introduced a visual similarity search that instantly finds related images. It will enable Widen users to save time and money spent on manual DAM processes while improving their return on content investments.
In 2017, Widen and Clarifai partnered to bring AI metadata generation into the Collective. This service generates metadata faster than manual processing, at lower cost, in 53 languages. Many DAM administrators use the Clarifai platform to take the first pass on new content. This saves time and makes new content available to marketing, e-commerce, and sales teams faster. It also makes untagged stock images searchable with descriptive keywords.
Widen users can now select an asset and let the AI find visually related photos allowing users to search for images connected to a specific product category, geographic location, demographic, theme, or style. Visual similarity search surfaces assets that might not otherwise be found and published. Thus, it can improve the return on investing in content.
https://www.widen.com ▪︎ https://www.clarifai.com
Lighthouse, a provider of technology-enabled ediscovery, compliance and information governance services, announced it will acquire H5, a provider of sensitive data classification, analytics and ediscovery solutions for complex litigation and regulatory compliance challenges.
This transaction marks Lighthouse’s first entry into the document review space with the addition of advanced search and analytics technology, and experts focused on helping clients find and classify sensitive data and automate key review workflows with unparalleled speed and accuracy. With H5, Lighthouse is acquiring review efficiency technology that enables its consultants to accurately and efficiently perform key document identification and responsiveness review faster than manual review teams. This solution is currently being used by many of the world’s leading corporations and law firms and applies broadly to all document review. Lighthouse will now offer a comprehensive set of consulting, review, ediscovery and information governance technologies and services that spans the entire client data lifecycle and fully embraces the rapid shifts to cloud and hybrid environments.
https://www.lighthouseglobal.com ▪︎ https://www.h5.com
MerlinOne announced NOMAD, their new technology to search the visual content of objects, with no dependence on textual metadata. Need a photo of four people at a picnic? Just ask NOMAD to find it for you. Organizations may have their photos, graphics, illustrations and videos in a Digital Asset Management (DAM) system, but they still cannot find the right object they need while on deadline for a campaign. The problem is the scarcity of useful textual metadata which, so far, has been the only way DAM users can search their collections.
By applying a combination of Deep Learning AI technologies (all developed in-house by MerlinOne) to your search query, NOMAD understands the concept you are looking for and delivers precise results based solely on the visual content of an image, completely independent of the existence or accuracy of its metadata.
NOMAD understands language patterns as well as visual content. Just like it knows to group visually similar images, it also clusters phrases of similar meaning, reducing the dependency on a specific, controlled vocabulary to find what you’re looking for. NOMAD can be combined with other MerlinAI tools such as IMPACT and Visual Similarity to provide additional search capabilities.
Neeva, an ads-free, private subscription search engine, announced the availability of its search product in the U.S. consumers can now go to neeva.com for a free three-month trial. Following the free trial, users can subscribe for $4.95 per month. Neeva is search reimagined — ads-free, private, and customizable. This all starts with flipping the traditional business model from an ads-based to a subscription-based service that is 100 percent focused on providing the best search experience for the consumer. Neeva delivers more relevant results and higher quality content. It blocks third-party trackers. And by connecting Neeva to email accounts, calendars, and cloud storage platforms, users can surface information that is most valuable to them without sacrificing privacy.
Moreover, Neeva supports the content ecosystem. Rather than being a toll collector for the web’s content, Neeva is strongly pro-publisher and is committed to creating revenue opportunities for content creators. Neeva will share at least 20% of topline revenue with content creator partners when their content is used to directly answer a Neeva customer’s query. Neeva provides a browser based extension, compatible with all major browsers, Chrome, Firefox, Brave, Edge and Safari. It runs across all devices and is available via an iOS app.
Coveo, provider of relevance platforms that transform search, recommendations, and personalization within digital experiences, announced new features in the Coveo Relevance Cloud to help ecommerce providers overcome a common obstacle in creating relevant web interactions, specifically for cold-start shoppers: lack of data. The Coveo Relevance Cloud’s new personalization-as-you-go capability leverages machine learning to help deliver personalized recommendations in real-time for anonymous shoppers without high volumes of data or segmentation rules, much like a sales assistant would look for visual cues from an in-store shopper. Coveo can learn in just a few clicks and react to current shopper intent with predictive query suggestions. Retailers can now aim to deliver personalization without the need for segments, profiles, user identification, or high volumes of data. Other capabilities now available in the Coveo Relevance Cloud that are salient to ecommerce practitioners, include: buy again recommendations, headless controller for product recommendations, smart catalog indexing, enriched commerce analytics and attribution dashboards, and Snowflake reader account access.
Elastic announced new Dropbox integrations, the beta release of the Elastic App Search precision tuning API, and enhanced custom source APIs across the Elastic Enterprise Search solution in the 7.13 release. Elastic Enterprise Search includes expanded content sources for Elastic Workplace Search, now supporting Dropbox Paper and complete document-level permission synchronization across all Dropbox content. Teams that rely on Dropbox to collaborate, create, and coordinate can use Workplace Search to find the content they need alongside relevant chat messages, wiki pages, PDFs, and other content.
The new Elastic App Search precision tuning API, now available in beta, allows customers to adjust the recall and precision of their websites or application search results. Through a single API call or parameter at query time, search admins can easily unlock granular search optimization by configuring how broad or narrow their search results should be to suit the exact needs of their users.
New custom source management APIs, also introduced in Workplace Search 7.13, simplify data ingestion and enable users to manage content from any source, including legacy and custom applications. The new APIs allow for programmatic, on-the-fly creation and operation of sources without the need for manual setup. Users can create high-quality ingestion pipelines for any source alongside other day-to-day tools, all with unified relevance.