The Ultimate Guide: Pathway to CI/CD

CI/CD can be represented as a pipeline (refer to the following figure), where new code is submitted on one end, tested over a series of stages (source, build, staging, and production), and then published as production-ready code. It can iteratively approach this pipeline if an organization is new to CI/CD. This means that they should… Continue reading The Ultimate Guide: Pathway to CI/CD

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Blogs

Continuous Integration Vs Continuous Delivery Vs Continuous Deployment

What is continuous integration, continuous delivery, and continuous deployment? Continuous Integration (CI) is a software development practice where developers regularly merge their code changes into a central repository, after which automated builds and tests are run. CI most often refers to the build or integration stage of the software release process and requires both an… Continue reading Continuous Integration Vs Continuous Delivery Vs Continuous Deployment

Six Visible Trends in Capital Markets

Many trends are emerging in the global capital markets industry. In this constantly changing market, success means keeping track of industry trends and other megatrends, including customer perceptions. In this article, we focus on the current state of the capital markets and what could be some drifts in 2022. Start uncovering essential patterns and outlooks.… Continue reading Six Visible Trends in Capital Markets

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Blogs

Enabling hybrid multi-cloud strategy with OpenShift SpringBoot Deployment

A brief on RedHat OpenShift  RedHat OpenShift is a platform of choice that manages hybrid cloud, multi-cloud, and edge deployments. It provides a consistent experience and gives you the power to pre-select where you deploy and run applications.  A full-stack Kubernetes container platform, Redhat Enterprise Linux supports cloud-native workloads, enables edge computing, and offers data-driven results.… Continue reading Enabling hybrid multi-cloud strategy with OpenShift SpringBoot Deployment

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Blogs

A Beginner’s Guide to Data Lakes

Today, businesses that listen to customers are winning more revenue, and in turn, are capturing more customers. Indeed, it is a vicious circle.  Processing information using advanced analytics algorithms is a go-to or quick solution for many business problems. Data is overflowing from various channels, including social media, click-streams, and connected devices. Organizations that implement… Continue reading A Beginner’s Guide to Data Lakes

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Blogs

Impact of Artificial Intelligence (AI) in Asset Management

The role of technology in asset or investment management is inevitable. Automation is vital in processing a large amount of data from portfolio managers, exchanges, pricing services, and rating bureaus.  Today, Artificial Intelligence (AI) and Machine Learning (ML) result in superior customer experience, efficiency, and accuracy. They are primary to many facets of the investment… Continue reading Impact of Artificial Intelligence (AI) in Asset Management

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Blogs

A Preview of On-Demand Leadership and Where its Heading

We’re still catching up with the post-pandemic recovery. With the rise of a distributed workforce, leaders are striving to manage their teams virtually. While the concept of meetings and coaching prevails, the ways it will be cherished differ acutely. The pandemic has had several phases and impacted different business verticals and executive tiers, including leadership.… Continue reading A Preview of On-Demand Leadership and Where its Heading

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Blogs

Uncover the Key Elements of Modern Data Platform 

Modern data platform serves as a fundamental unit while building a data-driven organization. They are more fluid compared to on-premise applications. These cloud-native and cloud-first frameworks also help in a quicker and easier setup. Their prominent characteristics include the ability to make precise business decisions, flexibility, and agile data management. Moreover, the intuitive nature allows… Continue reading Uncover the Key Elements of Modern Data Platform 

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Blogs

Why and How of Building a Decision Support System

It is more than collecting, aggregating, and presenting data – Integrating the data silos for better decisions is complex than ever. Moreover, companies try to get timely access to insights and achieve a quicker turnaround with enhanced data quality. The existing decision architectures lack capabilities for advanced analytics. They comprise several independent or disparate systems… Continue reading Why and How of Building a Decision Support System

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Blogs

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