Priyanka is a multi-disciplinary practitioner in the banking, risk and financial technology space. Backed by a coveted blend of robust technical background and acquired competencies in the BFSI domain, she can intelligently connect the dots between the conventional banking industry needs, customer pain points and contemporary digital solutions. She fervently aspires to drive innovations to the financial services industry - by leveraging disruptive technologies like Social, Mobile, Analytics and Cloud (SMAC), Application Programming Interfaces (APIs), Big Data, Machine Learning (ML), Deep Learning (DL), Artificial Intelligence (AI), Augmented Reality (AR), Virtual Reality (VR), Internet of Things (IoT), Chatbots, Blockchain, CryptoCurrencies, Bitcoin (BTC), Ethereum (ETH), Biometrics & Wearables - that would eventually serve to improve the overall financial inclusion & innovation.
In the ever-evolving economy that we're in today, most businesses are pressured to perform with the limited resources available to them - which mandates them to continually evolve, redesign, implement and manage the processes that are employed to run the business.
Today, many businesses understand that investing in creating optimal application designs [a little background for the uninitiated], will provide them a much coveted competitive advantage. Yet, with the profusion of design terminologies and jargons (which are often wrongly used interchangeably), it can be easy to feel overwhelmed by the brouhaha.
There has been a gigantic metamorphosis of sorts in the role of a bank's core-banking system over the last few years. From underpinning the core of branch banking, it is now expected to be all-pervasive and evolve into a 24*7 service delivery channel with anywhere, anytime banking facility. Increasing consumer demands, existing technical limitations and a dire need to lower costs are collectively veering banks and financial institutions towards core-banking transformation (CBT) and digital re-imagination of their services.
When people mention COBOL, it's usually either met with a scoff or a groan, conjuring up unimpressive images of programmers trying to maintain mission critical business applications using thousands of lines of code. The antiquated language no more enjoys the lionized position that it did a few decades ago. And with reports of its waning popularity making rounds every few years, one may want to revisit its relevance in the current scenario.
The face of modern IT has been changing swiftly, as data centers transition from physical infrastructures to virtual infrastructures. 'Cloud' applications extensively use microservices (small chunks of independent functions), deploy via containers and communicate via APIs.
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