Data To Decisions Through AI


Every enterprise today is generating exponentially more data internally and finds critical and competitive use for the vast amount of externally available public and private data including social, government data, research, etc. And, the importance of archiving data is well understood. In the face of the volume and the variety of data, it is now 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 vertical and industry segment.

AI and Big Data are firmly positioned now as practical techniques, even if advanced and complicated, to process gainfully the vast amounts of enterprise data and to lead enterprises to decisions that are truly data driven.

We at Lead Semantics define practical Artificial Intelligence(AI) to at least 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, process vast amounts of structured data and compute predictions and unseen relations buried in the enterprise data. Our NLP pipelines process raw text to extract and assign structure to data and use neural network (DL) models to assign meaning to character strings and parts of sentences. We have further augmented these NLP pipelines with knowledge extraction pipelines that include novel, state of the art methods to extract candidate tokens and phrases to generate high probability predicate matches with in a target set of ontologies. Our extended NLP pipeline enables creation of knowledge from raw text and adds the newly created knowledge to a Semantic Knowledge Graph. We believe Knowledge Graphs are the most valuable end product of enterprise BI and AI pipelines that enable transparent decisions supported by underlying data.

Companies that do not possess the requisite skills in-house in AI, ML and the Data Engineering necessary are better placed to find the right partner with these skills and proven record and we believe Lead Semantics is the right partner with the requisite depth and breadth of AI and Engineering expertise!

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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."




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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.