An enterprise search engine is a specialized search tool designed to help organizations index, search, and retrieve information stored within their internal data repositories. Unlike general web search engines that index and search the entire internet, enterprise search engines focus on the internal data of an organization, which can include documents, emails, databases, intranet sites, and other digital assets or data sources. Modern enterprise search engines often incorporate Natural Language Processing (NLP) and Machine Learning (ML) and AI-powered technologies to enhance their capabilities and improve the search experience. This type of search engine is adept at handling both structured and unstructured data, making it invaluable for diverse use cases such as knowledge management, customer support, and business intelligence. By integrating these enterprise search software capabilities, organizations can ensure that employees have quick and relevant access to the information they need, thereby improving productivity and decision-making.
Generative AI (GenAI) apps use generative AI capabilities for user experience and task augmentation to accelerate and assist the completion of a user’s desired outcomes. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. When embedded in the experience, generative AI offers richer contextualization for singular tasks such as generating and editing text, code, images and other multimodal output. As an emerging capability, process-aware generative AI agents can be prompted by users to accelerate workflows that tie multiple tasks together. Apart from helping save time and money, generative AI apps help improve branding of businesses by creating more engaging and effective content while also creating more engaging and immersive experiences for customers. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
Gartner defines Insight Engines as follows: Insight engines apply relevancy methods to discover, analyze, describe and organize content and data. They enable the interactive or proactive delivery or synthesis of information to people, and data to machines, in the context of their respective business moments. Insight engines should be viewed as platforms on which applications are provided, developed or augmented by applying the capabilities listed above to specific employee and customer experience use cases. Such applications are provided out of the box by vendors (e.g., intranet or site search), developed through technical partnerships (e.g., search within third-party applications), developed with customers in-house (e.g., expert finder), or developed through integration with third-party applications (e.g., extracting data from documents to support RPA).
Reviews for 'Office Productivity Solutions - Others'
Gartner defines Search and Product Discovery as applications that augment digital commerce solutions to facilitate navigation, filtering, comparisons, and ultimately selection of products. They provide search (keyword, natural language and visual), merchandising (automation, configuration, and curation of business rules to make a product discoverable based on business needs), product recommendations, catalog navigation (and SEO keyword automation), personalization and analytics capabilities through SaaS to enable customers (B2C and B2B) to transact. They also enable providers (merchandisers, content managers, and search specialists) to support customer experiences. With the emergence of generative AI, conversational search interfaces are now appearing. Search and Product Discovery applications use product data to facilitate navigation, filtering, comparisons and ultimately product selection. Search results can be highly visual, using engaging layouts and multimedia. Content other than product information, such as educational information, compliance materials and related news may also be included in search results to engage customers and further support buying decisions.