The problem solvers innovation map


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Becoming a Leader : A growth based maturity model

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The matter of leadership has enchanted possibly every individual, in his/her trail for excellence.Most of time, its seen as an over-night event of transformation that magically results from a spontaneous recipe of a few popular ingredients like courage, confidence and favourable externalities.People need to realize that sustainable and emulatory leadership goes much deeper than that level.I strongly feel there is a need for life-time value based maturity model of leadership, as a pathway which could be structured from very basic steps,so that it is accessible to a much wider audience.In the model that follows, I propose six phases of growth of individual leadership as a maturity mode l. These phases are as follows : Phase I :Instinctual bootstrapper Trust your gut-instinct and take the first step. The first steps land the first acquaintances Acquaintances turn into relationships through active community-level interactions Communication is key driver post-entry Phase II: Directed enthus
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Value-added data-asset lifecycle management (Part II) : Enterprise capability development

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Blockchain, multi-agents and dynamic learning in supply chains

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Most of us in the supply chain professional community would not probably escape a day without noticing a story of how the blockchains are the talk of the 'supply chain town', with their ambitious claim to become the most promising step towards attaining the unvanquishable double T's of an agile supply chain network vis a vis traceability and transparency.There are two other wizkids of AI that promise to craft a more dynamic element to the plotline-:  intelligent multi-agents and dynamic learning . Here, I try to sketch a thread on possible interlude among these 3 game-changers in a relatively less explored context. Recently I was going through a research paper which was addressing the problem of supply chain disruption management with multi-agent based framework.Given that the treatment of problem was indeed , I found that the approach was silo-type with agents coordinating across enterprise legacy systems .The entire risk identification approach was centered on KPI benchma
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