Source: adtmag.com The latest release of Hazelcast’s Jet event stream processing engine for AI and ML deployments of mission-critical applications adds new app development features designed to simplify the integration of an event-driven architecture into brownfield deployments to gain new functionality around real-time and in-memory processing. “Stream processing” is about processing data in motion–users take action on Read More

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Source: cio.economictimes.indiatimes.com I have often observed that a journey to cloud discussion for banks begin and end with Application modernization. Without a doubt, this is an important element of the journey. However, the IT landscape in a typical banking environment presents a unique setup that compels us to think about this pursuit differently. There are two important Read More

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Source:- activestate.com. These days, it seems like Machine Learning (ML) is everywhere. Well, everywhere except in legacy applications. But you can hardly blame the application if it was created prior to the recent advances in Python that have made ML mainstream (i.e. the last 3-5 years). Unfortunately, rewriting or refactoring legacy applications is typically a cost-prohibitive non-starter. Read More

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Artificial Intelligence