|Title||:||Machine manipulable models for informed and data-driven decision-making|
|Speaker||:||Vinay Kulkarni (TRDDC Pune)|
|Details||:||Wed, 17 Sep, 2014 2:00 PM @ CS25|
|Abstract:||:||Modern enterprises are complex systems operating in highly dynamic environment. The time to respond to the various change drivers is short and the cost of incorrect decisions is prohibitively high. Large enterprises adopt organizational structure best suited for ease of management and control. Scattered and fractured knowledge – about goals, operational processes, IT systems, design rationale, IT infrastructure, guidelines and best practices etc – is the undesirable side-effect. As a result, response to a change can at best be locally optimal and sequence of locally optimal responses hardly ever leads to global optimality. Moreover, many a change response ripple across the width and depth of enterprise – from strategy to operational processes to IT systems to IT infrastructure – all
of which need to be kept in sync before, during and after. Today this concern is addressed by relying solely on human experts who are expected to keep track of the various influencing factors, their inter-dependence, the decisions these factors influence, and interdependence of these decisions. This is too big an ask considering the size and complexity of modern enterprises. We are developing an approach based on modeling the relevant aspects of enterprise, its IT systems and IT infrastructure so as to address this challenge in a pro-active manner leading to enhanced quality of decision-making.
The talk will present the approach, introduce core technology developed, and discuss an illustrative example.
Brief bio: Vinay’s work in model-driven software engineering has led to a toolset that has been used to deliver several large business-critical systems since 1995. Much of this work has found way into OMG standards, three of which Vinay contributed to in a leadership role. A Visiting Professor at Middlesex University, London, Vinay serves on several program committees of international conferences. His interests include software engineering, model driven development and enterprise modeling.