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Expert.ai Announces New Features to Hybrid Natural Language Platform
Sunday, April 16, 2023
New features include expanded on-premise deployment options and enhanced taxonomy management via 3(rd)-party knowledge sources and integration of standardized libraries.
BOSTON, Feb. 7, 2023 /PRNewswire/ -- Expert.ai (EXAI:IM), a leading company in artificial intelligence (AI) for language understanding and language operations, announces today the release of new features for its Natural Language (NL) platform enhancing purpose-built natural language processing (NLP) workflow support. By employing a hybrid approach that combines state of the art in NL techniques - including machine learning and knowledge-based, symbolic AI - the expert.ai Platform gets the most out of unstructured data, like text in documents, applications and tools, to enable organizations create new business models, accelerate time to value and optimize processes.
Natural language text understanding has advanced to among the most widely embedded AI capabilities within organizations. NLP is no longer considered experimental, but a crucial technology for creating tangible ROI and achieving competitive advantage, and hybrid NL is becoming the de-facto approach to optimize results. According to Forrester(*), "Hybrid AI delivers the best results for NLP Applications... Human knowledge remains essential for many use cases, including the effective use of natural language processing (NLP)." Expert.ai's hybrid NL Platform analyzes and understands unstructured language data in vertical domains to accelerate business impact. Our experience with hundreds of clients across the insurance, financial services, life science/pharmaceutical, healthcare and publishing and media verticals use NL to create competitive advantage via undervalued language data within their enterprises.
"Organizations increasingly recognize the value of hybrid natural language as they can get to market faster, supporting a broader range of use cases with improved efficiencies and enhanced accuracy," said Luca Scagliarini, Chief Product Officer at expert.ai. "Practical and useful AI is no longer about the future, it provides enterprises value now. We continue to expand the platform capabilities to enable our customers and partners to create new processes, capabilities, solutions and offers that grow their businesses and impact their bottom lines".
Expert.ai Platform Winter 2023 new feature highlights:
Enhanced on-premise deployment options and taxonomy management are among the major updates.
-- Deployment (on premise installation): With the expert.ai platform,
organizations can accelerate their AI initiatives while fully managing
the performance, security and scalability of their data and
infrastructure. The new release also enables the use of Kubernetes (K8s)
to store core data on-premise, implement specific security measures or
comply with specific regulatory requirements while accessing the latest
updates to remain current.
-- Taxonomy: The new platform release offers the possibility of adding
3rd-party external knowledge sources to deliver NL applications to
production faster with higher levels of business accuracy. Third-party
knowledge sources include Unified Medical Language System (UMLS) like
MeSH, ICD9 and ICD10 and specific resources like the ones provided by
WAND Inc., the premier source for industry vertical taxonomies, business
taxonomies and specialty domain-specific taxonomies.
-- Wand Integration expands expert.ai's out of the box access to new
industry and process taxonomies. Shawna Applequist, Marketing Director,
WAND, Inc., commented: "WAND's curated taxonomies can increase the speed
of metadata model development by up to 90% by informing the AI engines
with a metadata model that can be imported with just a few clicks."
Additional features include:
-- APIs: Developers can now interact with expert.ai APIs using visual
documentation, making it easy for back-end implementation and
client-side consumption. Development teams can now visualize and
interact with the API resources using a familiar Swagger interface.
-- Navigation of Knowledge Graphs (KGs): Resulting in customized navigation
of knowledge models to quickly identify the strength of related concepts
and connections. Expert.ai Platform users can now navigate all KGs
within the Platform and in particular:
-- different technical versions of Knowledge Graphs;
-- Knowledge Graphs for CPKs in different models;
-- Knowledge Graphs that are part of experiments run within the
authoring environment;
-- Knowledge Graph CPKs derived from the building of a Knowledge Graph
Editor project.
*Forrester Best Practice Report, Hybrid AI Delivers Best Results For NLP Applications
About expert.ai
Expert.ai (EXAI:IM) is a leading company in AI-based natural language software. Organizations in insurance, banking and finance, publishing, media and defense all rely on expert.ai to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. Expert.ai's purpose-built natural language platform pairs simple and powerful tools with a proven hybrid AI approach that combines symbolic and machine learning to solve real-world problems and enhance business operations at speed and scale. With offices in Europe and North America, expert.ai serves global businesses such as AXA XL, Zurich Insurance Group, Generali, The Associated Press, Bloomberg INDG, BNP Paribas, Rabobank, Gannett and EBSCO. For more information, visit https://www.expert.ai
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SOURCE expert.ai
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