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.

about-usimage

Technical Collaboration with Franz

OAKLAND, Calif. — January 31, 2017 — Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology and Lead Semantics, a Big Data Analytics start-up delivering cloud based Advanced Analytics and Data Science, today announced their partnership to deliver Smart-Data Integrated Data Science.

"The integration of Lead Semantics' Hiddime and AllegroGraph delivers new types of analytic outcomes and insights to provide 'Smart Data' for the Enterprise", said Dr. Jans Aasman, CEO, Franz Inc. "AllegroGraph will bring knowledge integration to the Hiddime platform for one of a kind data science capabilities that will deliver unique value for each user."




AllegroGraph’s Technology Featured by Gartner for Driving Business Value in Data -


ecommerce-image

Emerging Analytics Startups in India




ecommerce-image


ecommerce-image ecommerce-image

Lead Semantics, a new generation AI company integrating knowledge bases and machine learning, develops products and services targeting the area of 'Semantics Integrated Data Science’ for both the Enterprise and the Cloud environments. Hiddime.com is first of its kind Semantic Cloud-BI tool that enables advanced analytics on the cloud. an 'Interactive Discovery and Exploratory Analytics' tool (IDEA tool) in the cloud, hiddime.com enables end business users with little IT knowledge to deliver routine to sophisticated BI and advanced Analytics with just point and click interactions in the browser.

Their data science teams deliver NLP, Graph, Machine Learning and Semantic Technology projects that also include integration of complex Big Data engineering pipelines feeding into BI Datawarehouses and Smart Data Lakes. Their pedigree and experience uniquely positions them to take advantage of the recent surge in interest in Smart Data to deliver cutting edge data science that enterprises are striving for globally.