際際滷shows by User: SagarSunkle / http://www.slideshare.net/images/logo.gif 際際滷shows by User: SagarSunkle / Tue, 06 Feb 2018 03:40:14 GMT 際際滷Share feed for 際際滷shows by User: SagarSunkle Model-Driven Regulatory Compliance: A Case Study of Know Your Customer Regulations /slideshow/modeldriven-regulatory-compliance-a-case-study-of-know-your-customer-regulations/87287548 models15mdregcompsunkle-180206034014
Regulatory Compliance using Models of Regulations]]>
Regulatory Compliance using Models of Regulations]]> Tue, 06 Feb 2018 03:40:14 GMT /slideshow/modeldriven-regulatory-compliance-a-case-study-of-know-your-customer-regulations/87287548 SagarSunkle@slideshare.net(SagarSunkle) Model-Driven Regulatory Compliance: A Case Study of Know Your Customer Regulations SagarSunkle Regulatory Compliance using Models of Regulations <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/models15mdregcompsunkle-180206034014-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Regulatory Compliance using Models of Regulations
Model-Driven Regulatory Compliance: A Case Study of Know Your Customer Regulations from Dr.-Ing. Sagar Sunkle
]]> 479 6 https://cdn.slidesharecdn.com/ss_thumbnails/models15mdregcompsunkle-180206034014-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Explanation of Proofs of Regulatory (Non-)Compliance Using Semantic Vocabularies /SagarSunkle/explanation-of-proofs-of-regulatory-noncompliance-using-semantic-vocabularies ruleml15presentation-150829052253-lva1-app6891
With recent regulatory advances, modern enterprises have to not only comply with regulations but have to be prepared to provide explanation of proof of (non-)compliance. On top of compliance checking, this necessitates modeling concepts from regulations and enterprise operations so that stakeholder-specific and close to natural language explanations could be generated. We take a step in this direction by using Semantics of Business Vocabulary and Rules to model and map vocabularies of regulations and operations of enterprise. Using these vocabularies and leveraging proof generation abilities of an existing compliance checking technique, we show how such explanations can be created. Basic natural language explanations that we generate can be easily enriched by adding requisite domain knowledge to the vocabularies. ]]>
With recent regulatory advances, modern enterprises have to not only comply with regulations but have to be prepared to provide explanation of proof of (non-)compliance. On top of compliance checking, this necessitates modeling concepts from regulations and enterprise operations so that stakeholder-specific and close to natural language explanations could be generated. We take a step in this direction by using Semantics of Business Vocabulary and Rules to model and map vocabularies of regulations and operations of enterprise. Using these vocabularies and leveraging proof generation abilities of an existing compliance checking technique, we show how such explanations can be created. Basic natural language explanations that we generate can be easily enriched by adding requisite domain knowledge to the vocabularies. ]]> Sat, 29 Aug 2015 05:22:53 GMT /SagarSunkle/explanation-of-proofs-of-regulatory-noncompliance-using-semantic-vocabularies SagarSunkle@slideshare.net(SagarSunkle) Explanation of Proofs of Regulatory (Non-)Compliance Using Semantic Vocabularies SagarSunkle With recent regulatory advances, modern enterprises have to not only comply with regulations but have to be prepared to provide explanation of proof of (non-)compliance. On top of compliance checking, this necessitates modeling concepts from regulations and enterprise operations so that stakeholder-specific and close to natural language explanations could be generated. We take a step in this direction by using Semantics of Business Vocabulary and Rules to model and map vocabularies of regulations and operations of enterprise. Using these vocabularies and leveraging proof generation abilities of an existing compliance checking technique, we show how such explanations can be created. Basic natural language explanations that we generate can be easily enriched by adding requisite domain knowledge to the vocabularies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ruleml15presentation-150829052253-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With recent regulatory advances, modern enterprises have to not only comply with regulations but have to be prepared to provide explanation of proof of (non-)compliance. On top of compliance checking, this necessitates modeling concepts from regulations and enterprise operations so that stakeholder-specific and close to natural language explanations could be generated. We take a step in this direction by using Semantics of Business Vocabulary and Rules to model and map vocabularies of regulations and operations of enterprise. Using these vocabularies and leveraging proof generation abilities of an existing compliance checking technique, we show how such explanations can be created. Basic natural language explanations that we generate can be easily enriched by adding requisite domain knowledge to the vocabularies.
Explanation of Proofs of Regulatory (Non-)Compliance Using Semantic Vocabularies from Dr.-Ing. Sagar Sunkle
]]> 313 7 https://cdn.slidesharecdn.com/ss_thumbnails/ruleml15presentation-150829052253-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Toward a holistic method for regulatory change management /slideshow/toward-a-holistic-method-for-regulatory-change-management/52193760 bmdssunkle-150829051403-lva1-app6891
Complexity of regulatory compliance is heightened for modern enterprises due their global footprints and multiple regulations they are subjected to across varied domains and geographies and continual changes therein. This necessitates a method for compliance management that is capable of establishing compliance to both regulations and changes to regulations from a holistic perspective of governance, risk, and compliance (GRC). We propose such a method using a conceptual model of integrated GRC whereby formal compliance checking and norm change techniques for regulations represented as formal rules are coupled with business process change propagation and risk modeling. The method also considers legal and business goals of regulators and regulatees respectively in enacting compliance to regulation and changes therein. The method is substantiated with a brief example of a real world banking regulation.]]>
Complexity of regulatory compliance is heightened for modern enterprises due their global footprints and multiple regulations they are subjected to across varied domains and geographies and continual changes therein. This necessitates a method for compliance management that is capable of establishing compliance to both regulations and changes to regulations from a holistic perspective of governance, risk, and compliance (GRC). We propose such a method using a conceptual model of integrated GRC whereby formal compliance checking and norm change techniques for regulations represented as formal rules are coupled with business process change propagation and risk modeling. The method also considers legal and business goals of regulators and regulatees respectively in enacting compliance to regulation and changes therein. The method is substantiated with a brief example of a real world banking regulation.]]> Sat, 29 Aug 2015 05:14:03 GMT /slideshow/toward-a-holistic-method-for-regulatory-change-management/52193760 SagarSunkle@slideshare.net(SagarSunkle) Toward a holistic method for regulatory change management SagarSunkle Complexity of regulatory compliance is heightened for modern enterprises due their global footprints and multiple regulations they are subjected to across varied domains and geographies and continual changes therein. This necessitates a method for compliance management that is capable of establishing compliance to both regulations and changes to regulations from a holistic perspective of governance, risk, and compliance (GRC). We propose such a method using a conceptual model of integrated GRC whereby formal compliance checking and norm change techniques for regulations represented as formal rules are coupled with business process change propagation and risk modeling. The method also considers legal and business goals of regulators and regulatees respectively in enacting compliance to regulation and changes therein. The method is substantiated with a brief example of a real world banking regulation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bmdssunkle-150829051403-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Complexity of regulatory compliance is heightened for modern enterprises due their global footprints and multiple regulations they are subjected to across varied domains and geographies and continual changes therein. This necessitates a method for compliance management that is capable of establishing compliance to both regulations and changes to regulations from a holistic perspective of governance, risk, and compliance (GRC). We propose such a method using a conceptual model of integrated GRC whereby formal compliance checking and norm change techniques for regulations represented as formal rules are coupled with business process change propagation and risk modeling. The method also considers legal and business goals of regulators and regulatees respectively in enacting compliance to regulation and changes therein. The method is substantiated with a brief example of a real world banking regulation.
Toward a holistic method for regulatory change management from Dr.-Ing. Sagar Sunkle
]]> 369 9 https://cdn.slidesharecdn.com/ss_thumbnails/bmdssunkle-150829051403-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Toward Better Mapping between Regulations and Operational Details of Enterprises Using Vocabularies and Semantic Similarity /slideshow/toward-better-mapping-between-regulations-and-operational-details-of-enterprises-using-vocabularies-and-semantic-similarity/52192898 caiseforum2015poster-150829035356-lva1-app6892
Industry governance, risk, and compliance (GRC) solutions stand to gain from various analyses offered by formal compliance checking approaches. Such adoption is made difficult by the fact that most formal approaches assume that a mapping between concepts of regulations and models of operational specifics exists. We propose to use Semantics of Business Vocabularies and Rules along with similarity measures to create an explicit mapping between concepts of regulations and models of operational specifics of enterprises. We believe that this proposal takes a step toward adapting and leveraging formal compliance checking approaches in industry GRC solutions.]]>
Industry governance, risk, and compliance (GRC) solutions stand to gain from various analyses offered by formal compliance checking approaches. Such adoption is made difficult by the fact that most formal approaches assume that a mapping between concepts of regulations and models of operational specifics exists. We propose to use Semantics of Business Vocabularies and Rules along with similarity measures to create an explicit mapping between concepts of regulations and models of operational specifics of enterprises. We believe that this proposal takes a step toward adapting and leveraging formal compliance checking approaches in industry GRC solutions.]]> Sat, 29 Aug 2015 03:53:56 GMT /slideshow/toward-better-mapping-between-regulations-and-operational-details-of-enterprises-using-vocabularies-and-semantic-similarity/52192898 SagarSunkle@slideshare.net(SagarSunkle) Toward Better Mapping between Regulations and Operational Details of Enterprises Using Vocabularies and Semantic Similarity SagarSunkle Industry governance, risk, and compliance (GRC) solutions stand to gain from various analyses offered by formal compliance checking approaches. Such adoption is made difficult by the fact that most formal approaches assume that a mapping between concepts of regulations and models of operational specifics exists. We propose to use Semantics of Business Vocabularies and Rules along with similarity measures to create an explicit mapping between concepts of regulations and models of operational specifics of enterprises. We believe that this proposal takes a step toward adapting and leveraging formal compliance checking approaches in industry GRC solutions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/caiseforum2015poster-150829035356-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Industry governance, risk, and compliance (GRC) solutions stand to gain from various analyses offered by formal compliance checking approaches. Such adoption is made difficult by the fact that most formal approaches assume that a mapping between concepts of regulations and models of operational specifics exists. We propose to use Semantics of Business Vocabularies and Rules along with similarity measures to create an explicit mapping between concepts of regulations and models of operational specifics of enterprises. We believe that this proposal takes a step toward adapting and leveraging formal compliance checking approaches in industry GRC solutions.
Toward Better Mapping between Regulations and Operational Details of Enterprises Using Vocabularies and Semantic Similarity from Dr.-Ing. Sagar Sunkle
]]> 176 7 https://cdn.slidesharecdn.com/ss_thumbnails/caiseforum2015poster-150829035356-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds document 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Solving Semantic Disparity and Explanation Problems in Regulatory Compliance /slideshow/solving-semantic-disparity-and-explanation-problems-in-regulatory-compliance/52192811 emmsadpresentation-150829034719-lva1-app6892
Modern enterprises increasingly face the challenge of keeping pace with regulatory compliances. Semantic disparity between regulation texts, their interpretations, and operational specifics of enterprise often leads enterprises to situations where it becomes difficult for them to establish what compliance means, how they are supposed to affect it in the operational practices, and how to prove that they comply when asked for explanations of (non-)compliance. We take a step toward reducing the semantic disparity by using semantic vocabularies to map regulations with available operational details of enterprise and utilize them in enacting compliance. We also propose to provide explanations of proofs of (non-)compliance. We report our ongoing work in this regard using the design science research (DSR) paradigm. Initial iterations of design cycle from DSR have been useful to us in identifying and matching stakeholder-specific goals in solving these problems.]]>
Modern enterprises increasingly face the challenge of keeping pace with regulatory compliances. Semantic disparity between regulation texts, their interpretations, and operational specifics of enterprise often leads enterprises to situations where it becomes difficult for them to establish what compliance means, how they are supposed to affect it in the operational practices, and how to prove that they comply when asked for explanations of (non-)compliance. We take a step toward reducing the semantic disparity by using semantic vocabularies to map regulations with available operational details of enterprise and utilize them in enacting compliance. We also propose to provide explanations of proofs of (non-)compliance. We report our ongoing work in this regard using the design science research (DSR) paradigm. Initial iterations of design cycle from DSR have been useful to us in identifying and matching stakeholder-specific goals in solving these problems.]]> Sat, 29 Aug 2015 03:47:19 GMT /slideshow/solving-semantic-disparity-and-explanation-problems-in-regulatory-compliance/52192811 SagarSunkle@slideshare.net(SagarSunkle) Solving Semantic Disparity and Explanation Problems in Regulatory Compliance SagarSunkle Modern enterprises increasingly face the challenge of keeping pace with regulatory compliances. Semantic disparity between regulation texts, their interpretations, and operational specifics of enterprise often leads enterprises to situations where it becomes difficult for them to establish what compliance means, how they are supposed to affect it in the operational practices, and how to prove that they comply when asked for explanations of (non-)compliance. We take a step toward reducing the semantic disparity by using semantic vocabularies to map regulations with available operational details of enterprise and utilize them in enacting compliance. We also propose to provide explanations of proofs of (non-)compliance. We report our ongoing work in this regard using the design science research (DSR) paradigm. Initial iterations of design cycle from DSR have been useful to us in identifying and matching stakeholder-specific goals in solving these problems. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/emmsadpresentation-150829034719-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Modern enterprises increasingly face the challenge of keeping pace with regulatory compliances. Semantic disparity between regulation texts, their interpretations, and operational specifics of enterprise often leads enterprises to situations where it becomes difficult for them to establish what compliance means, how they are supposed to affect it in the operational practices, and how to prove that they comply when asked for explanations of (non-)compliance. We take a step toward reducing the semantic disparity by using semantic vocabularies to map regulations with available operational details of enterprise and utilize them in enacting compliance. We also propose to provide explanations of proofs of (non-)compliance. We report our ongoing work in this regard using the design science research (DSR) paradigm. Initial iterations of design cycle from DSR have been useful to us in identifying and matching stakeholder-specific goals in solving these problems.
Solving Semantic Disparity and Explanation Problems in Regulatory Compliance from Dr.-Ing. Sagar Sunkle
]]> 381 10 https://cdn.slidesharecdn.com/ss_thumbnails/emmsadpresentation-150829034719-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Practical Goal Modeling for Enterprise Change鐃Context: A Problem Statement /slideshow/practical-goal-modeling-for-enterprise-changecontext-a-problem-statement/43702516 mreba-150120091051-conversion-gate02
Modern enterprise need to rapidly respond to changes. Goal modeling techniques are intuitive mechanisms that help in modeling and analyzing rationale behind enterprise's response to change. In spite of their intuitiveness, there are several challenges that need to be addressed for their practical adoption and application. We present a problem statement based on real world case study and possible ways in which these challenges can be addressed.]]>
Modern enterprise need to rapidly respond to changes. Goal modeling techniques are intuitive mechanisms that help in modeling and analyzing rationale behind enterprise's response to change. In spite of their intuitiveness, there are several challenges that need to be addressed for their practical adoption and application. We present a problem statement based on real world case study and possible ways in which these challenges can be addressed.]]> Tue, 20 Jan 2015 09:10:51 GMT /slideshow/practical-goal-modeling-for-enterprise-changecontext-a-problem-statement/43702516 SagarSunkle@slideshare.net(SagarSunkle) Practical Goal Modeling for Enterprise Change鐃Context: A Problem Statement SagarSunkle Modern enterprise need to rapidly respond to changes. Goal modeling techniques are intuitive mechanisms that help in modeling and analyzing rationale behind enterprise's response to change. In spite of their intuitiveness, there are several challenges that need to be addressed for their practical adoption and application. We present a problem statement based on real world case study and possible ways in which these challenges can be addressed. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mreba-150120091051-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Modern enterprise need to rapidly respond to changes. Goal modeling techniques are intuitive mechanisms that help in modeling and analyzing rationale behind enterprise&#39;s response to change. In spite of their intuitiveness, there are several challenges that need to be addressed for their practical adoption and application. We present a problem statement based on real world case study and possible ways in which these challenges can be addressed.
Practical Goal Modeling for Enterprise Change Context: A Problem Statement from Dr.-Ing. Sagar Sunkle
]]> 575 1 https://cdn.slidesharecdn.com/ss_thumbnails/mreba-150120091051-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Toward Structured Simulation of What-If Analyses for Enterprise /slideshow/toward-structured-simulation-of-whatif-analyses-for-enterprise/38679723 ematowardstructuredsimulationofwhat-ifanalysesforenterprises-140904014052-phpapp02
Today's Enterprises exist in highly dynamic environment. Simulation could be used to reveal complex dynamic behavior of enterprise, especially for playing out dynamic what-if scenarios, in determining enterprise's response to a change. Instead of relying on guidelines for simulating prescriptive models of enterprise as in other approaches including our own in which we simulated intentional models of enterprise, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to intentional metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects for what-if analyses remain unaddressed, in the least we take a step toward making simulation of intentional models more structured.]]>
Today's Enterprises exist in highly dynamic environment. Simulation could be used to reveal complex dynamic behavior of enterprise, especially for playing out dynamic what-if scenarios, in determining enterprise's response to a change. Instead of relying on guidelines for simulating prescriptive models of enterprise as in other approaches including our own in which we simulated intentional models of enterprise, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to intentional metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects for what-if analyses remain unaddressed, in the least we take a step toward making simulation of intentional models more structured.]]> Thu, 04 Sep 2014 01:40:52 GMT /slideshow/toward-structured-simulation-of-whatif-analyses-for-enterprise/38679723 SagarSunkle@slideshare.net(SagarSunkle) Toward Structured Simulation of What-If Analyses for Enterprise SagarSunkle Today's Enterprises exist in highly dynamic environment. Simulation could be used to reveal complex dynamic behavior of enterprise, especially for playing out dynamic what-if scenarios, in determining enterprise's response to a change. Instead of relying on guidelines for simulating prescriptive models of enterprise as in other approaches including our own in which we simulated intentional models of enterprise, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to intentional metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects for what-if analyses remain unaddressed, in the least we take a step toward making simulation of intentional models more structured. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ematowardstructuredsimulationofwhat-ifanalysesforenterprises-140904014052-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Today&#39;s Enterprises exist in highly dynamic environment. Simulation could be used to reveal complex dynamic behavior of enterprise, especially for playing out dynamic what-if scenarios, in determining enterprise&#39;s response to a change. Instead of relying on guidelines for simulating prescriptive models of enterprise as in other approaches including our own in which we simulated intentional models of enterprise, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to intentional metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects for what-if analyses remain unaddressed, in the least we take a step toward making simulation of intentional models more structured.
Toward Structured Simulation of What-If Analyses for Enterprise from Dr.-Ing. Sagar Sunkle
]]> 338 2 https://cdn.slidesharecdn.com/ss_thumbnails/ematowardstructuredsimulationofwhat-ifanalysesforenterprises-140904014052-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Toward Structured Simulation of Enterprise Models /slideshow/toward-structured-simulation-of-enterprise-models/38570217 teartowardstructuredsimulationofenterprisemodels-140901124903-phpapp01
Today's Enterprises exist in highly dynamic environment. While enterprise-architecture (EA) based models help in holistic treatment of enterprise aspects, they are static in nature and do not represent the complex dynamic behavior of enterprise as it evolves over time. Instead of relying on guideline for simulating EA models as in other approaches, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to EA metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects remain unaddressed, in the least we take a step toward making simulation of EA models more structured. ]]>
Today's Enterprises exist in highly dynamic environment. While enterprise-architecture (EA) based models help in holistic treatment of enterprise aspects, they are static in nature and do not represent the complex dynamic behavior of enterprise as it evolves over time. Instead of relying on guideline for simulating EA models as in other approaches, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to EA metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects remain unaddressed, in the least we take a step toward making simulation of EA models more structured. ]]> Mon, 01 Sep 2014 12:49:02 GMT /slideshow/toward-structured-simulation-of-enterprise-models/38570217 SagarSunkle@slideshare.net(SagarSunkle) Toward Structured Simulation of Enterprise Models SagarSunkle Today's Enterprises exist in highly dynamic environment. While enterprise-architecture (EA) based models help in holistic treatment of enterprise aspects, they are static in nature and do not represent the complex dynamic behavior of enterprise as it evolves over time. Instead of relying on guideline for simulating EA models as in other approaches, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to EA metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects remain unaddressed, in the least we take a step toward making simulation of EA models more structured. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/teartowardstructuredsimulationofenterprisemodels-140901124903-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Today&#39;s Enterprises exist in highly dynamic environment. While enterprise-architecture (EA) based models help in holistic treatment of enterprise aspects, they are static in nature and do not represent the complex dynamic behavior of enterprise as it evolves over time. Instead of relying on guideline for simulating EA models as in other approaches, we propose a comprehensive metamodel of system dynamics and provide relation-based mapping to EA metamodel. Ongoing explorations suggest that while several challenges of simulating enterprise aspects remain unaddressed, in the least we take a step toward making simulation of EA models more structured.
Toward Structured Simulation of Enterprise Models from Dr.-Ing. Sagar Sunkle
]]> 382 1 https://cdn.slidesharecdn.com/ss_thumbnails/teartowardstructuredsimulationofenterprisemodels-140901124903-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Incorporating Directives into Enterprise TO-BE Architecture /slideshow/incorporating-directives-into-enterprise-tobe-architecture/38570150 teardirectives-140901124656-phpapp02
To stay competitive, enterprises must respond to changes as effectively and efficiently as possible and ensure the employed courses of action, whether in response to change or even to optimize business as usual, fall within the purview of internal and external directives. Often, the traceability from change drivers that led to specific directives being applied to actual business rules implementing the directives is never captured in machine processable and analyzable manner, making compliance to directives hard to track and demonstrate. We present a model-based solution that enables a) modeling directives at various levels of detail on top of extended enterprise architecture-based models of enterprise, b) analyzing the models for compliance, and c) ensuring operationalization of directives. Initial explorations with a real world case study suggest that it might be possible to establish both top-down and bottom-up traceability for directives toward compliance checking.]]>
To stay competitive, enterprises must respond to changes as effectively and efficiently as possible and ensure the employed courses of action, whether in response to change or even to optimize business as usual, fall within the purview of internal and external directives. Often, the traceability from change drivers that led to specific directives being applied to actual business rules implementing the directives is never captured in machine processable and analyzable manner, making compliance to directives hard to track and demonstrate. We present a model-based solution that enables a) modeling directives at various levels of detail on top of extended enterprise architecture-based models of enterprise, b) analyzing the models for compliance, and c) ensuring operationalization of directives. Initial explorations with a real world case study suggest that it might be possible to establish both top-down and bottom-up traceability for directives toward compliance checking.]]> Mon, 01 Sep 2014 12:46:56 GMT /slideshow/incorporating-directives-into-enterprise-tobe-architecture/38570150 SagarSunkle@slideshare.net(SagarSunkle) Incorporating Directives into Enterprise TO-BE Architecture SagarSunkle To stay competitive, enterprises must respond to changes as effectively and efficiently as possible and ensure the employed courses of action, whether in response to change or even to optimize business as usual, fall within the purview of internal and external directives. Often, the traceability from change drivers that led to specific directives being applied to actual business rules implementing the directives is never captured in machine processable and analyzable manner, making compliance to directives hard to track and demonstrate. We present a model-based solution that enables a) modeling directives at various levels of detail on top of extended enterprise architecture-based models of enterprise, b) analyzing the models for compliance, and c) ensuring operationalization of directives. Initial explorations with a real world case study suggest that it might be possible to establish both top-down and bottom-up traceability for directives toward compliance checking. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/teardirectives-140901124656-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> To stay competitive, enterprises must respond to changes as effectively and efficiently as possible and ensure the employed courses of action, whether in response to change or even to optimize business as usual, fall within the purview of internal and external directives. Often, the traceability from change drivers that led to specific directives being applied to actual business rules implementing the directives is never captured in machine processable and analyzable manner, making compliance to directives hard to track and demonstrate. We present a model-based solution that enables a) modeling directives at various levels of detail on top of extended enterprise architecture-based models of enterprise, b) analyzing the models for compliance, and c) ensuring operationalization of directives. Initial explorations with a real world case study suggest that it might be possible to establish both top-down and bottom-up traceability for directives toward compliance checking.
Incorporating Directives into Enterprise TO-BE Architecture from Dr.-Ing. Sagar Sunkle
]]> 380 3 https://cdn.slidesharecdn.com/ss_thumbnails/teardirectives-140901124656-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Visual Modeling Editor and Ontology API-based Analysis for Decision Making in 鐃Enterprises- Experience and Way Ahead /SagarSunkle/visual-modeling-editor-and-ontology-apibased-analysis-for-decision-making-in-enterprises-experience-and-way-ahead modtools14slides-140901124324-phpapp02
To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO-BE states, and d) operationalization model that captures paths from AS-IS to desired TO-BE states, in a scalable way. We recount our earlier, ongoing, and proposed approaches for tooling in this regards using situation, task, action, results, and reflections structure. Initial research suggests that reflections from past and ongoing experience may help us in extrapolating ways in which our proprietary metamodeling framework may be put to best use for scalable modeling and analysis of enterprise's decision making models.]]>
To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO-BE states, and d) operationalization model that captures paths from AS-IS to desired TO-BE states, in a scalable way. We recount our earlier, ongoing, and proposed approaches for tooling in this regards using situation, task, action, results, and reflections structure. Initial research suggests that reflections from past and ongoing experience may help us in extrapolating ways in which our proprietary metamodeling framework may be put to best use for scalable modeling and analysis of enterprise's decision making models.]]> Mon, 01 Sep 2014 12:43:24 GMT /SagarSunkle/visual-modeling-editor-and-ontology-apibased-analysis-for-decision-making-in-enterprises-experience-and-way-ahead SagarSunkle@slideshare.net(SagarSunkle) Visual Modeling Editor and Ontology API-based Analysis for Decision Making in 鐃Enterprises- Experience and Way Ahead SagarSunkle To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO-BE states, and d) operationalization model that captures paths from AS-IS to desired TO-BE states, in a scalable way. We recount our earlier, ongoing, and proposed approaches for tooling in this regards using situation, task, action, results, and reflections structure. Initial research suggests that reflections from past and ongoing experience may help us in extrapolating ways in which our proprietary metamodeling framework may be put to best use for scalable modeling and analysis of enterprise's decision making models. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/modtools14slides-140901124324-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> To stay competitive in dynamic environment, enterprises need to be able to efficiently and effectively respond to changes. Both visual modeling and programmable analysis support is needed for modeling a) motivations behind and goals in response to change, b) the AS-IS state of enterprise, c) possible TO-BE states, and d) operationalization model that captures paths from AS-IS to desired TO-BE states, in a scalable way. We recount our earlier, ongoing, and proposed approaches for tooling in this regards using situation, task, action, results, and reflections structure. Initial research suggests that reflections from past and ongoing experience may help us in extrapolating ways in which our proprietary metamodeling framework may be put to best use for scalable modeling and analysis of enterprise&#39;s decision making models.
Visual Modeling Editor and Ontology API-based Analysis for Decision Making in Enterprises- Experience and Way Ahead from Dr.-Ing. Sagar Sunkle
]]> 617 5 https://cdn.slidesharecdn.com/ss_thumbnails/modtools14slides-140901124324-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Intentional modeling for problem solving in enterprise architecture (ICEIS 2013 Presentation) /slideshow/sunkle-kulkarni-roychoudhury-2013-iceis-presentation-intentional-modeling-for-problem-solving-in-enterprise-architecture/26997863 sunklekulkarniroychoudhury-2013-iceispresentation-intentionalmodelingforproblemsolvinginenterprisear-131008202655-phpapp02
Taking and executing correct decisions is critical in enterprise systems which are characterized by rapid changes along interconnected dimensions. Enterprise architecture (EA) frameworks offer holistic treatment of enterprise systems but constitute only one part of the solution to problems arising due to organizational changes. The other, less explored part is the ability to explicate and analyze the intentions behind major decisions. We investigate a step-by-step approach where intentional modeling is treated as a problem solving technique. In our approach, an intentional model devoid of goals is obtained from the existing EA model via mapping. It is expanded by representing the problems due to organizational changes as goals and soft goals and alternative solutions to them. The 鍖nal intentional model is transformed back to an actionable EA model via the same mapping. In the case study, we re-imagine the evolution of our model-driven software development unit as an enterprise where two stages in its evolution are treated as as-is and to-be states and the journey is captured in terms of intentional models. Initial explorations suggest that the mapping enables a clear path from as-is to to-be states of an EA model while preserving the reasoning behind every alternative chosen.]]>
Taking and executing correct decisions is critical in enterprise systems which are characterized by rapid changes along interconnected dimensions. Enterprise architecture (EA) frameworks offer holistic treatment of enterprise systems but constitute only one part of the solution to problems arising due to organizational changes. The other, less explored part is the ability to explicate and analyze the intentions behind major decisions. We investigate a step-by-step approach where intentional modeling is treated as a problem solving technique. In our approach, an intentional model devoid of goals is obtained from the existing EA model via mapping. It is expanded by representing the problems due to organizational changes as goals and soft goals and alternative solutions to them. The 鍖nal intentional model is transformed back to an actionable EA model via the same mapping. In the case study, we re-imagine the evolution of our model-driven software development unit as an enterprise where two stages in its evolution are treated as as-is and to-be states and the journey is captured in terms of intentional models. Initial explorations suggest that the mapping enables a clear path from as-is to to-be states of an EA model while preserving the reasoning behind every alternative chosen.]]> Tue, 08 Oct 2013 20:26:55 GMT /slideshow/sunkle-kulkarni-roychoudhury-2013-iceis-presentation-intentional-modeling-for-problem-solving-in-enterprise-architecture/26997863 SagarSunkle@slideshare.net(SagarSunkle) Intentional modeling for problem solving in enterprise architecture (ICEIS 2013 Presentation) SagarSunkle Taking and executing correct decisions is critical in enterprise systems which are characterized by rapid changes along interconnected dimensions. Enterprise architecture (EA) frameworks offer holistic treatment of enterprise systems but constitute only one part of the solution to problems arising due to organizational changes. The other, less explored part is the ability to explicate and analyze the intentions behind major decisions. We investigate a step-by-step approach where intentional modeling is treated as a problem solving technique. In our approach, an intentional model devoid of goals is obtained from the existing EA model via mapping. It is expanded by representing the problems due to organizational changes as goals and soft goals and alternative solutions to them. The 鍖nal intentional model is transformed back to an actionable EA model via the same mapping. In the case study, we re-imagine the evolution of our model-driven software development unit as an enterprise where two stages in its evolution are treated as as-is and to-be states and the journey is captured in terms of intentional models. Initial explorations suggest that the mapping enables a clear path from as-is to to-be states of an EA model while preserving the reasoning behind every alternative chosen. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sunklekulkarniroychoudhury-2013-iceispresentation-intentionalmodelingforproblemsolvinginenterprisear-131008202655-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Taking and executing correct decisions is critical in enterprise systems which are characterized by rapid changes along interconnected dimensions. Enterprise architecture (EA) frameworks offer holistic treatment of enterprise systems but constitute only one part of the solution to problems arising due to organizational changes. The other, less explored part is the ability to explicate and analyze the intentions behind major decisions. We investigate a step-by-step approach where intentional modeling is treated as a problem solving technique. In our approach, an intentional model devoid of goals is obtained from the existing EA model via mapping. It is expanded by representing the problems due to organizational changes as goals and soft goals and alternative solutions to them. The 鍖nal intentional model is transformed back to an actionable EA model via the same mapping. In the case study, we re-imagine the evolution of our model-driven software development unit as an enterprise where two stages in its evolution are treated as as-is and to-be states and the journey is captured in terms of intentional models. Initial explorations suggest that the mapping enables a clear path from as-is to to-be states of an EA model while preserving the reasoning behind every alternative chosen.
Intentional modeling for problem solving in enterprise architecture (ICEIS 2013 Presentation) from Dr.-Ing. Sagar Sunkle
]]> 726 5 https://cdn.slidesharecdn.com/ss_thumbnails/sunklekulkarniroychoudhury-2013-iceispresentation-intentionalmodelingforproblemsolvinginenterprisear-131008202655-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Analyzing enterprise models using enterprise architecture-based ontology (MODELS 2013 Presentation) /slideshow/sunkle-kulkarni-2013-presentation-models-analyzing-enterprise-models-using-enterprise-motivation-multiple-change-drivers-in-enterp/26997858 sunklekulkarni-2013-presentationmodels-analyzingenterprisemodelsusingenterprisemotivationmultiplecha-131008202645-phpapp02
Development and maintenance of enterprise systems is becoming more difficult due to change drivers along multiple interconnected dimensions. It is advisable to model the enterprise 鍖rst and analyze it for potential concerns. For modeling enterprises, ontologies have been considered apt and have been used in the past for the same, but application of ontologies for EA analysis based on concepts of enterprise and relations between them have been scarce. We present our ongoing work on analyzing enterprise models using EA-based ontological representation of enterprise. Our contributions are twofold: 鍖rst, we show how an existing EA modeling language can be leveraged to create EA ontology and second, we show how two known EA analyses can be realized using this ontology. Initial results suggest that ontology representation facilitates basic EA analysis prototyping due to right mix of representation and inference functionalities and is extensible for more involved EA analyses.]]>
Development and maintenance of enterprise systems is becoming more difficult due to change drivers along multiple interconnected dimensions. It is advisable to model the enterprise 鍖rst and analyze it for potential concerns. For modeling enterprises, ontologies have been considered apt and have been used in the past for the same, but application of ontologies for EA analysis based on concepts of enterprise and relations between them have been scarce. We present our ongoing work on analyzing enterprise models using EA-based ontological representation of enterprise. Our contributions are twofold: 鍖rst, we show how an existing EA modeling language can be leveraged to create EA ontology and second, we show how two known EA analyses can be realized using this ontology. Initial results suggest that ontology representation facilitates basic EA analysis prototyping due to right mix of representation and inference functionalities and is extensible for more involved EA analyses.]]> Tue, 08 Oct 2013 20:26:45 GMT /slideshow/sunkle-kulkarni-2013-presentation-models-analyzing-enterprise-models-using-enterprise-motivation-multiple-change-drivers-in-enterp/26997858 SagarSunkle@slideshare.net(SagarSunkle) Analyzing enterprise models using enterprise architecture-based ontology (MODELS 2013 Presentation) SagarSunkle Development and maintenance of enterprise systems is becoming more difficult due to change drivers along multiple interconnected dimensions. It is advisable to model the enterprise 鍖rst and analyze it for potential concerns. For modeling enterprises, ontologies have been considered apt and have been used in the past for the same, but application of ontologies for EA analysis based on concepts of enterprise and relations between them have been scarce. We present our ongoing work on analyzing enterprise models using EA-based ontological representation of enterprise. Our contributions are twofold: 鍖rst, we show how an existing EA modeling language can be leveraged to create EA ontology and second, we show how two known EA analyses can be realized using this ontology. Initial results suggest that ontology representation facilitates basic EA analysis prototyping due to right mix of representation and inference functionalities and is extensible for more involved EA analyses. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sunklekulkarni-2013-presentationmodels-analyzingenterprisemodelsusingenterprisemotivationmultiplecha-131008202645-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Development and maintenance of enterprise systems is becoming more difficult due to change drivers along multiple interconnected dimensions. It is advisable to model the enterprise 鍖rst and analyze it for potential concerns. For modeling enterprises, ontologies have been considered apt and have been used in the past for the same, but application of ontologies for EA analysis based on concepts of enterprise and relations between them have been scarce. We present our ongoing work on analyzing enterprise models using EA-based ontological representation of enterprise. Our contributions are twofold: 鍖rst, we show how an existing EA modeling language can be leveraged to create EA ontology and second, we show how two known EA analyses can be realized using this ontology. Initial results suggest that ontology representation facilitates basic EA analysis prototyping due to right mix of representation and inference functionalities and is extensible for more involved EA analyses.
Analyzing enterprise models using enterprise architecture-based ontology (MODELS 2013 Presentation) from Dr.-Ing. Sagar Sunkle
]]> 1270 6 https://cdn.slidesharecdn.com/ss_thumbnails/sunklekulkarni-2013-presentationmodels-analyzingenterprisemodelsusingenterprisemotivationmultiplecha-131008202645-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Toward innovative model based enterprise IT outsourcing (NGEBIS CAISE 2013) /slideshow/kulkarni-sunkle-2013-presentation-ngebis-toward-innovative-model-based-enterprise-it-outsourcing/26997784 kulkarnisunkle-2013-presentationngebis-towardinnovativemodelbasedenterpriseitoutsourcing-131008202112-phpapp01
Enterprises use IT systems to derive mechanical advantage through automation of business process steps. Prevalent labor arbitrage outsourcing model has delivered signi鍖cant savings in run-the-business IT costs. For a variety of reasons, change-the-business IT costs continue to be signi鍖cantly high. With continually increasing business dynamics and increasing dependence on IT systems, the problem of managing these costs with certainty is getting ever more dif鍖cult. We propose a model- driven approach for addressing this problem. The paper discusses current practice to motivate the problem, describes a model- driven architecture to address the problem, and discusses various research, engineering and business challenges for its realization.]]>
Enterprises use IT systems to derive mechanical advantage through automation of business process steps. Prevalent labor arbitrage outsourcing model has delivered signi鍖cant savings in run-the-business IT costs. For a variety of reasons, change-the-business IT costs continue to be signi鍖cantly high. With continually increasing business dynamics and increasing dependence on IT systems, the problem of managing these costs with certainty is getting ever more dif鍖cult. We propose a model- driven approach for addressing this problem. The paper discusses current practice to motivate the problem, describes a model- driven architecture to address the problem, and discusses various research, engineering and business challenges for its realization.]]> Tue, 08 Oct 2013 20:21:12 GMT /slideshow/kulkarni-sunkle-2013-presentation-ngebis-toward-innovative-model-based-enterprise-it-outsourcing/26997784 SagarSunkle@slideshare.net(SagarSunkle) Toward innovative model based enterprise IT outsourcing (NGEBIS CAISE 2013) SagarSunkle Enterprises use IT systems to derive mechanical advantage through automation of business process steps. Prevalent labor arbitrage outsourcing model has delivered signi鍖cant savings in run-the-business IT costs. For a variety of reasons, change-the-business IT costs continue to be signi鍖cantly high. With continually increasing business dynamics and increasing dependence on IT systems, the problem of managing these costs with certainty is getting ever more dif鍖cult. We propose a model- driven approach for addressing this problem. The paper discusses current practice to motivate the problem, describes a model- driven architecture to address the problem, and discusses various research, engineering and business challenges for its realization. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kulkarnisunkle-2013-presentationngebis-towardinnovativemodelbasedenterpriseitoutsourcing-131008202112-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Enterprises use IT systems to derive mechanical advantage through automation of business process steps. Prevalent labor arbitrage outsourcing model has delivered signi鍖cant savings in run-the-business IT costs. For a variety of reasons, change-the-business IT costs continue to be signi鍖cantly high. With continually increasing business dynamics and increasing dependence on IT systems, the problem of managing these costs with certainty is getting ever more dif鍖cult. We propose a model- driven approach for addressing this problem. The paper discusses current practice to motivate the problem, describes a model- driven architecture to address the problem, and discusses various research, engineering and business challenges for its realization.
Toward innovative model based enterprise IT outsourcing (NGEBIS CAISE 2013) from Dr.-Ing. Sagar Sunkle
]]> 1094 2 https://cdn.slidesharecdn.com/ss_thumbnails/kulkarnisunkle-2013-presentationngebis-towardinnovativemodelbasedenterpriseitoutsourcing-131008202112-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-SagarSunkle-48x48.jpg?cb=1706865301 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... http://zentapestry.wordpress.com/ https://cdn.slidesharecdn.com/ss_thumbnails/models15mdregcompsunkle-180206034014-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/modeldriven-regulatory-compliance-a-case-study-of-know-your-customer-regulations/87287548 Model-Driven Regulator... https://cdn.slidesharecdn.com/ss_thumbnails/ruleml15presentation-150829052253-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds SagarSunkle/explanation-of-proofs-of-regulatory-noncompliance-using-semantic-vocabularies Explanation of Proofs ... https://cdn.slidesharecdn.com/ss_thumbnails/bmdssunkle-150829051403-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/toward-a-holistic-method-for-regulatory-change-management/52193760 Toward a holistic meth...