Every enterprise today is generating exponentially more data internally while finding critical and competitive use for the vast amount of externally available public data that includes social, government, research and other domains. The importance of data archiving is well understood and practiced. In the face of the availability of the volume and the variety of data, it is clear that conventional data warehouses and BI analytics must be complemented with the AI and Big Data analytics to yield competitive standing, in virtually every industry vertical. AI and Big Data are firmly positioned now as practical and invaluable techniques, even if they are complicated, to lead enterprises to decisions that are truly data driven.
At Lead Semantics, we define practical Artificial Intelligence (AI) to include Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP - Lexical & Semantic Parsing, Language Understanding & Generation) and Semantic Technology (ST). ML (including DL) is at the heart of our solution pipelines which, train ML models on vast amounts of structured data and compute predictions and compute unseen relations buried in the enterprise data. Our Cloud AI Dashboard product - Hiddime is a business Decision Board which integrates BI pipelines from Enterprise relational databases, RDF Graph Triple stores and ML prediction pipelines in the browser to give the business user a 360 degree data view of the decision context for transparent and explainable decisions!
Our advanced text analytics platform – TextDistil consists of NLP pipelines that process unstructured data (raw text) to extract and assign structure and use neural language models to assign meaning to parts of sentences. TextDistil employs novel methods in deep learning and linguistic theory to extract candidate word tokens and phrases to generate high probability predicate matches to a target Ontology and create ‘Knowledge triples’ and load into a Semantic Knowledge Graph.
Knowledge Graphs promote new breed of enterprise applications which in turn enable business decisions that are transparent supported by data that is curated and whose lineage and context is well understood. We believe Knowledge Graphs are lasting and valuable outcomes of BI and AI pipelines in an enterprise.