New version of platform accelerates adoption of AI-powered natural language solutions and value creation today announced a new version of its specialized platform combining symbolic artificial intelligence (AI) and machine learning to turn language into data, analyze and understand complex documents, accelerate intelligent process automation and improve decision making. By extending core capabilities and adding unique features, such as out-of-the-box knowledge models and connectors, the new version of the platform increases flexibility, simplifies integration, and optimizes data pipelines to increase the efficiency of all processes involving natural language (NL).)

According to Gartner®, “Enterprises have unstructured, untapped data with opportunities to extract differentiators. Data and analytics professionals need to uncover this insight using natural language technology solutions: intelligent data processing documents, conversational AI and analytics engines.” [1] While data has always been an integral part of businesses, the proliferation of language within the enterprise and the rise of digital transformation have created a new sense of urgency to increase the adoption of AI technologies for language. to get the most out of all the data an organization has.

To scale quickly and make AI investments pay off, organizations need the tools and capabilities to get real results, faster. is at the forefront of efforts in the field of composite, or hybrid, AI, thanks to its market expertise and best practices, developed by hundreds of successful implementations, in sectors such as insurance, financial and banking services, publishing and media, defense and intelligence.

Designed specifically for AI applied to natural language, the platform leverages the combination of different AI techniques (Machine Learning and rule-based symbolic understanding) with a simple and powerful authoring environment to support efficiently the entire natural language processing flow. It is based on the principle that no AI technique in natural language can respond perfectly to all projects. According to Gartner, “The era of single AI techniques is coming to an end. Software and service providers who are unable to offer solutions that combine multiple AI techniques (such as machine learning, optimization techniques, knowledge graphs, natural language technologies) will quickly find themselves at a disadvantage against those who can The introduction of composite AI techniques, even within existing products , will have a profound impact on their abilities.” [2]

The features and benefits of the new version of the hybrid AI platform are:

Smarter from the start knowledge models bring NL applications to production faster with higher levels of accuracy: the new version of the platform includes access to customizable and pre-built NLP knowledge models based on rules, used to classify text and extract entities, ideas, and relationships specific to a domain or use case. The knowledge models made available by the new version of the platform include: finance (commodities, currencies, macroeconomics); ESG (environment, social and governance); life sciences ; behavioral and emotional traits; PII (Personally Identifiable Information, Redacted or Pseudonymized).
Simplified deployment process in multiple environments including Azure: The new release allows users to select MS Azure as their preferred deployment environment.
Easier integration, out-of-the-box connectors: Discover more insights with hundreds of connectors through the Boomi integration platform and Qlik connectors that provide fast, easy, and secure access to natural language resources for systems and third-party apps.
Enhanced Natural Language Operations (NLOps): Allows inclusion of custom Python and Java scripts or third-party services for pre- or post-processing activities in NL workflow orchestrations.
“Transforming data into a strategic asset is key to consolidating value creation and remaining competitive,” said Luca Scagliarini, Product Manager at “The new version of the platform extends core capabilities and introduces innovations to continue delivering tangible business results, enabling organizations to easily leverage their linguistic data and accelerate AI deployments and value creation.”

[1] Gartner, “Emerging Use Cases for Natural Language Technology”, Sumit Agarwal, October 13, 2021.

[2] Gartner, “Emerging Technologies and Trends Impact Radar: Artificial Intelligence, 2021”, Annette Jump, Eric Goodness, et al, Sept 21, 2021.

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New version of platform accelerates adoption of AI-powered natural language solutions and value creation

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