Personal Information
Unternehmen/Arbeitsplatz
Pune Area, India India
Beruf
Senior Scientist (Researcher R&D) at Tata Consultancy Services
Branche
Technology / Software / Internet
Webseite
http://zentapestry.wordpress.com/
Info
Dr. Sagar Sunkle is a senior scientist at Tata Research Development and Design Centre, a premier innovation centre of Tata Consultancy Services. His current research interest is using natural language processing and machine learning techniques for information extraction. His recent work has been on scalable extraction of information from highly noisy data in banking and financial services and related domains. He is also working on legal text comprehension for a more rigorous formal compliance checking in industry setting.
His previous work involved using model-driven techniques to help enterprises in decision making, particularly enabling enterprises for regulatory compliance.
He has be...
Tags
enterprise architecture
enterprise modeling
regulatory compliance
intentional modeling
system dynamics modeling
regulations
sbvr
simulation
compliance
model-driven engineering
proof of compliance
natural language explanation
governance
change management
risk
semantic dissimilarity
vocabulary
semantics
design science
organizational hierarchy
course of action
strategy making
goal modeling
what-if analysis
enterprise directives
enterprise context
decision making
analysis
ontology modeling
problem solving
it plant
Mehr anzeigen
Präsentationen
(12)Dokumente
(1)Gefällt mir
(21)Enterprise information extraction: recent developments and open challenges
Yunyao Li
•
Vor 10 Jahren
Knowledge-driven Implicit Information Extraction
Artificial Intelligence Institute at UofSC
•
Vor 7 Jahren
WDC Service Summaries - Jan 2015
Charles Quincy
•
Vor 9 Jahren
NIPS2007: structured prediction
zukun
•
Vor 12 Jahren
Томми Яаккола «Масштабирование структурных предсказаний»
Yandex
•
Vor 11 Jahren
Lecture 5: Structured Prediction
Marina Santini
•
Vor 10 Jahren
Diving into Machine Learning with Rob Craft, Group Product Manager at Google!
TheFamily
•
Vor 7 Jahren
Machine creativity TED Talk 2.0
Cameron Aaron
•
Vor 7 Jahren
Alphago Tech talk
Javier Magana
•
Vor 8 Jahren
From Lookup to Learning: Search as a Long-term Activity – ECIR 2011
Tyler Tate
•
Vor 13 Jahren
Machine Learning for Search at LinkedIn
Viet Ha-Thuc
•
Vor 7 Jahren
Learning to Generate Pseudo-code from Source Code using Statistical Machine Translation
Yusuke Oda
•
Vor 8 Jahren
Dependency Parsing
Jinho Choi
•
Vor 14 Jahren
10 Reasons Why Successful Leaders Are Keeping a Journal
Louis-Xavier Lavallée
•
Vor 8 Jahren
From Semantic Parsing to Reasoning
diannepatricia
•
Vor 8 Jahren
Concept net150529
KangSe Lee
•
Vor 8 Jahren
Advanced Hadoop Tuning and Optimization - Hadoop Consulting
Impetus Technologies
•
Vor 14 Jahren
Probabilistic Ontology: Representation and Modeling Methodology
Rommel Carvalho
•
Vor 12 Jahren
What Is A Business Model
Alexander Osterwalder
•
Vor 14 Jahren
Lift11 Presentation
Alexander Osterwalder
•
Vor 13 Jahren
Describe and Improve your Business Model
Alexander Osterwalder
•
Vor 16 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Pune Area, India India
Beruf
Senior Scientist (Researcher R&D) at Tata Consultancy Services
Branche
Technology / Software / Internet
Webseite
http://zentapestry.wordpress.com/
Info
Dr. Sagar Sunkle is a senior scientist at Tata Research Development and Design Centre, a premier innovation centre of Tata Consultancy Services. His current research interest is using natural language processing and machine learning techniques for information extraction. His recent work has been on scalable extraction of information from highly noisy data in banking and financial services and related domains. He is also working on legal text comprehension for a more rigorous formal compliance checking in industry setting.
His previous work involved using model-driven techniques to help enterprises in decision making, particularly enabling enterprises for regulatory compliance.
He has be...
Tags
enterprise architecture
enterprise modeling
regulatory compliance
intentional modeling
system dynamics modeling
regulations
sbvr
simulation
compliance
model-driven engineering
proof of compliance
natural language explanation
governance
change management
risk
semantic dissimilarity
vocabulary
semantics
design science
organizational hierarchy
course of action
strategy making
goal modeling
what-if analysis
enterprise directives
enterprise context
decision making
analysis
ontology modeling
problem solving
it plant
Mehr anzeigen