Where modern data management and artificial intelligence intersect. Associate valuable insight with organizations, people, prospects and products.
With the Kingland Platform, we combine artificial intelligence, machine learning and natural language processing tools and techniques with nearly 30 years of data management expertise to help you control costs, minimize risk and deliver results faster. The cloud-based software platform is powered by three complementary suites to help clients avoid regulatory pressure, deliver products that work and achieve their goals.
The Enterprise Data Management Platform Suite supports enterprise-level data governance strategies through fully configurable rules, workflows and administrative functions, along with modern data management tools. The suite scales to meet the needs of the largest global organizations, providing a full-stack data management system in months instead of years.
The Text Analytics Platform Suite extracts information from structured and unstructured sources to augment analysis and decision-making processes via natural language processing, named-entity recognition and neural networks. Through highly-specified language models, tuned to comprehend industry specific context and terms, this suite reveals the valuable data hidden throughout your documents, databases, the web and more.
The Compliance Management Platform Suite automates the challenges of managing independence and risk while leveraging the complexities of data and technology. As the most widely-used independence solution by the largest global accounting firms, this suite innovates the compliance process, reducing the associated costs and regulatory burden of compliance management.
Regulatory documents, government registries, corporate sites, news and industry trade journals, product documents, you name it – they all represent important sources that contain an incredible amount of valuable data, insight, sentiment and analysis that is ripe for processing.
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Natural Language Processing encompasses many different techniques, such as Parsing, Part-of-Speech Tagging, Lemmatization and Named Entity Recognition. A practitioner, or in this case the Kingland Platform, uses these techniques to help computers read unstructured (albeit human-readable) text.
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