In order to build a sustainable value chain, enterprises need to establish an ecosystem of businesses — partners, suppliers, manufacturers, shippers, etc. According to a Gartner research in 2020, an organization’s digital ecosystem is a dynamic network of entities (people, businesses, and things) interacting with each other through real-time integrated solutions to create and exchange sustainable value. Technology blurs boundaries between internal and external partners. To enable the execution of everyday supply chain processes in a digital ecosystem,
The COVID-19 pandemic has exposed gaps in banks’ ability to provide resilient, reliable payment services. Situations where banks could not process payments due to lack of staff access to physical data centers, or because of vendor-imposed downtime due to security breaches, have been all too frequent in the last six months. To address these challenges, banks must replace or augment their legacy systems and move processing to the cloud.
For many years, communication service providers have struggled to transform their IT architecture and landscapes that have grown over the last two decades. Most of them are facing the legacy challenges of monolithic BSS/OSS stacks compounded as the tech stacks differ for each line of business, as past acquisitions were never integrated.
Life science IT departments face increasing demands because of clinical trials’ growing complexities, including the proliferation of specialized applications, ballooning numbers of stakeholders, and data security and privacy considerations.
It’s the classic question: should IT spend its time maintaining legacy investments or addressing legacy system challenges and creating new projects?
In a recent survey, 90% of IT decision makers say legacy system challenges are holding their organizations back from using digital technologies to innovate or make improve IT efficiency, and over a third believe that legacy systems are a barrier to completing IT projects.
In 2016, the Government Accountability Office, a US government watchdog, published an account of the oldest government IT systems. The average age of those systems, which handle things like our nuclear forces, our weather satellites, and incidents involving hazardous materials, is 49.8 years. The oldest system, at 56 years old, is the Internal Revenue System that handles taxpayer data and handles refunds, which is “written in assembly language code — a low-level computer code that is difficult to write and maintain —
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