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Category: Enterprise search & search technology (Page 13 of 61)

Research, analysis, and news about enterprise search and search markets, technologies, practices, and strategies, such as semantic search, intranet collaboration and workplace, ecommerce and other applications.

Before we consolidated our blogs, industry veteran Lynda Moulton authored our popular enterprise search blog. This category includes all her posts and other enterprise search news and analysis. Lynda’s loyal readers can find all of Lynda’s posts collected here.

For older, long form reports, papers, and research on these topics see our Resources page.

MerlinOne introduces visual search for DAM

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.

https://merlinone.com

Neeva announces availability of its ads free, private search engine

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.

https://neeva.com

Coveo features target cold-start shopper problem

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.

https://www.coveo.com/en/solutions/ecommerce

Elastic adds features in Elastic Enterprise Search 7.13

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.

https://www.elastic.co/blog/whats-new-elastic-enterprise-search-7-13-0

Squirro launches new Squirro App Studio

Squirro, an Augmented Intelligence solutions provider, has announced the launch of its new Squirro App Studio, a no code / low code platform to build and set up AI-powered apps such as Cognitive Search quickly and easily. The platform enables users with no background in data science to build a Cognitive Search app, leveraging Artificial Intelligence (AI), machine learning (ML), and natural language processing (NLP) to create a unique enterprise search experience. Cognitive Search offers a unique search experience that gathers data from internal and external sources, and understands the users’ intent and context whilst providing them with the correct information at the right time.

The platform is enhanced with an extensive set of connectors, allowing users to unify their data sources and extract actionable insights and recommendations. In one click, users can connect the Cognitive Search app with CRM systems such as Salesforce, premium market data such as Refinitiv, Pitchbook, and a range of different enterprise systems including OneDrive, SharePoint, Confluence, Jira, Google Drive, Gmail and Dropbox.

https://squirro.com/enterprise-search/

Text IQ for Privacy debuts to support Privacy 2.0

Text IQ announced the launch of Text IQ for Privacy, an AI solution to enable enterprises to proactively manage personal information, particularly hard-to-find sensitive information which otherwise remains hidden in large unstructured data sets. It automatically identifies and categorizes personal and sensitive information from both structured and unstructured sources, enabling redaction and deduplication before presenting the findings for human review.

Enterprises must manage ever expanding amounts of personal and sensitive data, such as a customer’s financial records, precise geo-location, race, religion, and medical history. Traditional search methods typically fall short when it comes to data containing information such as a person’s religious beliefs and medical history, which can be sensitive when seen in context and hard to identify because it is largely found strewn in unstructured data. Text IQ for Privacy zeroes in on this kind of data by deploying an adaptive AI Brain that incorporates a human-centric Socio-Linguistic Hypergraph. Text IQ for Privacy includes:

  • Data Categorization, to identify sensitive information and eliminate manual data mapping.
  • Discovery & Redaction, to identify personal information and reduce disclosure risk.
  • Data Breach Response, to automatically deduplicate and associate data to entities, and reduce response time.
  • DSAR Fulfillment Automation, to meet request deadlines and reduce manual review.

https://www.textiq.com/privacy

Coveo announces Coveo for Adobe Experience Manager

Coveo, provider of AI-powered relevance platforms that transform search, recommendations, and personalization within digital experiences, announced Coveo for Adobe. The new offering brings improved search and discovery to Coveo’s customers that use Adobe Experience Manager (AEM).

With the deprecation of Adobe’s Search & Promote product, organizations using AEM have had to rely on Apache Lucene and Solr to power search. Coveo for Adobe offers a search replacement option that makes it easier for marketers and developers alike to bring AI to search. By combining pre-packaged machine learning models for site search, ecommerce, customer service, and the workplace, alongside a rich toolset of connectors and UI components, Coveo helps organizations quickly optimize their digital experiences, and the websites, portals and apps that define them.

https://www.coveo.com/en/products/integrations/coveo-for-adobe

Sinequa launches Intelligent Search Platform on Microsoft Azure

Sinequa, a provider of Intelligent Enterprise Search, announced the launch of Sinequa for Microsoft Azure to better serve customers who want to take advantage of Azure and its global reach. Organizations that use Azure can now access Sinequa’s enhanced version of a self-managed Intelligent Search platform.

Sinequa for Azure enables digital workers to stop sifting for information across Enterprise applications and brings the knowledge and insight to the users no matter the source, format, language, or location. Integrated with Microsoft 365 (Microsoft Teams, Microsoft SharePoint, etc.), Sinequa also seamlessly extracts valuable information from applications such as Salesforce, Box, Dropbox, OpenText, Documentum, file shares, databases, and other data sources, by leveraging a portfolio of over 200 out-of-the-box connectors.

Sinequa for Azure integrates Azure Cognitive Services to enable organizations to ingest all of their enterprise data sources, transform that data into searchable information, and enable users to get precise insights to natural language queries. Sinequa for Azure benefits include: reduced architecture costs, faster, indexing, more secure platform; easier, quicker deployment, optimized for Azure, environmentally friendly. Sinequa for Azure is now available in the Azure Marketplace.

https://www.sinequa.com/intelligent-enterprise-search-optimized-for-azure/

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