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Interview: Future will see more digital services at much faster pace: NN Subramanian, Maveric Systems

Interview: Future will see more digital services at much faster pace: NN Subramanian, Maveric Systems

Maveric Systems helps global banking and fintech leaders drive business agility through effective integration of development, operations and quality engineering initiatives. Its strong banking domain competency combined with expertise across legacy and new age technology landscapes makes us a preferred partner for customers worldwide.

NN Subramanian, Co-Founder and Global Head of Quality Engineering, Maveric Systems, tells us more. Excerpts:

NN Subramanian: The ever increasing digital transformation has led to the sharp rise in software testing. A report by Global Market Insights suggests that the software testing market would reach $60 billion by 2026. Agile and DevOps led testing would be instrumental in this exponential growth curve. Customers would also see technologies such as artificial intelligence led predictive analytics taking centre stage in speeding up testing cycles.

The experience-centric economy is already seeing testing becoming a prominent member of its family. Thorough levels of testing are enforced across smarter devices, websites, wearables and other digital properties, to ensure superior performance, better reliability and utmost security. This means, digital quality engineering is going to be seeing increasing demand for accelerating transformations.

Early digital quality engineering strategies are now the new normal for speeding up the testing process and building an automated pipeline for continuous quality. Pitfalls and defects are detected much earlier in the software development life cycle with agile resolution and re-factoring of code.

The post COVID-19 scenarios will definitely be seeing aggressive investments into digital experience and digital adoption, which means more digital services at a much faster pace being launched in the international and domestic markets. This will require quality at speed, and at scale.

DQ: How is innovation needed to adjust to the rapid spike in innovation in the space?

NN Subramanian: New age testing approaches, supported by intelligent test automation is the direction everyone is seeking. With significant Dev-QA integration in emerging QE delivery models now the demand is for in-sprint automated functional and non-functional testing.

Many businesses are still in the early stages of adopting these testing models. Intelligent test automation strategies fuelled with technologies such as AI, ML, RPA and more, would bring significant acceleration, efficiency, productivity, continuous monitoring and scale into QE.

About 95% quality engineering (QE) automation is one of the key promises delivered by Maveric to its customers. We have invested and built zero code-based tools and accelerators and matured frameworks, which are engineered for speed with cognitive methods and predictive analytics.

DQ: How will banking, as a core and essential services sector, evolve in the current scenario?

NN Subramanian: The world economy is going through one of the most epic battles with COVID19. What new models emerge and how businesses cope with the new-normal, we will know only when the dust settles down and we come out of the current crisis. While this scenario has come with many challenges, this will undoubtedly give birth to many opportunities, especially for enterprising Indian Businesses.

Digital transformation market in the banking world is estimated to reach 121.7B by 2025. With the pandemic, this might see a steep rise and change starting from the current year itself. You will see many traditional banking service providers who were not digital savvy, would soon adopt the digital path for their survival.

For example, I recently resolved a query on my bank account through a chatbot which wasn’t available in my bank before the lockdown. Many smaller service firms are even using opensource chat platforms such as WhatsApp for communicating with their customers.

Look at Maveric Systems, for instance. We were ready with the remote home working structure in less than 24 hours after the lockdown. The work from home (WFH) model has also been effectively implemented by schools, Universities, physical fitness centres, health-care consulting and others for their service continuity. Online media entertainment platforms are seeing a significant spike in its customer viewership. Payment wallets are acting as saviours if you are struggling with cash.

As you see, digital consumption is about to grow exponentially and that would require the IT service providers and product providers to rise and deliver at Speed and scale.

DQ: In what way does Maveric’s Quality Engineering (QE) services accelerate banking transformation?

NN Subramanian: We are a world-class leader in quality engineering (QE) services for the banking industry. In the last 20 years, we have supported more than 60 banking transformations. It is a testimony of our exclusive banking domain experience.

We bring continuous quality focus across transformation journey’s, with quality engineering (QE) solutions that are engineered for speed and can be delivered at scale. Using our cutting-edge dev-test-ops approach and real time insight driven dashboards, we uniquely anticipate pitfalls and defects much earlier in the development cycles.

Maveric’s clientele include banking customers of all ages such as traditional full-service banks or the new-age challenger and digital banks. We have supported many unique customer engagements – be it a multi-year or multi-country transformation or a new banking product rollout assurance or new age digital initiatives or compliance led validations and more. This way, we have built diverse banking experience with multiple specializations across the segments of corporate banking, retail banking, payments, wealth etc. Furthermore, we have also built IPs such as ready-to-deploy test kits, tools, accelerators and frameworks for faster time to market.

DQ: How will banking in India, and globally, evolve, post Covid-19?

NN Subramanian: The banking scenario both globally and in India will drastically shift to ‘Digital First’ and ‘Mobile only’ banking channels. As we come to terms with this new normal, I believe the industry will focus on:

Localization – more and more banks will now tend to hyper localize the products and services
Digital payments – it’s anybody’s guess that digital payments will see a exponential rise in transactions.
Faster go to market – Banks will also focus more on agile ‘launch as you develop’ development model to bring newer and better services to its customers.

What we are going through is unprecedented. Banks will be and should be driving successful banking technology transformation through conscious contextualization, leveraging comprehensive competencies and with core commitment to delivering superior customer experiences.

This was originally published on DataQuest India website and is being reproduced here.


The Power of AI in Quality Engineering

The Power of AI in Quality Engineering

As the speed of transformation increases and customers exceedingly demand better experiences, banks and financial institutions are compelled to take a hard look at how they engineer services, products, and assure them for seamless operations. To integrate sustainable quality in products and services, organizations are re-engineering quality assurance to make it one with product development.

Ensuring robust QE practices is vital if businesses are to leverage the latest tech at the pace they want to, and differentiate their products and services in a landscape of fierce competition from FinTech and large tech players.

Developments in AI give us new hopes. A recent study shows that 78% of banking executives believe AI would have a significant impact in the next few years. Let’s explore how much of a blessing AI is in QE.

What Do We Mean by AI in Testing?

Since, speed to market and quality assurance stand right beside each other in priority, banks are now looking to add extreme automation for measuring, analyzing, and improving their quality of offerings. This is where artificial intelligence has a significant role to play.

With the ability to infuse understanding into computer code, AI can help testers accelerate testing and be sure of the results. For instance, test cases and test logs can be studied by an AI algorithm to investigate functions that can be highly malicious.

As AI agents learn through the process, they will be able to evolve and find new testing functions with less human intervention.

How AI Enhances Quality Engineering Across the Software Development Lifecycle in a Bank?

An AI program can be made to run twenty-four hours a day, seven days a week at a stretch. Testers can execute tests as and when required. Furthermore, these tests can take place in real-time, with higher accuracy and precision, and in the background.

AI programs can help QE professionals to visualize the entire picture and find gaps in the quality that need immediate attention. This way, QA functions can be prioritized towards needs, that require urgent remediation.

Customer experience enhances when codes can be tested and deployed faster, leading to quicker developments in products and tech competency. Consider the shift from quality control to quality assurance at the Bank of England. With a central role of QA automation, the bank is now pioneering testing transformation for other institutions to follow.

Cognitive Algorithms and Their Role in QE for Banks

Cognitive computing is a product of AI. The major facets of cognitive systems include machine learning, natural language processing, human interaction, deep learning, and self-healing.

As banking applications grow in complexity and become more interconnected, lenders need to trust automated testing to ensure the integrity and quality of these applications.

Cognitive algorithms can be integrated within the different stages of the financial software lifecycle to yield use case such as:

  • Self-learning and self-healing can disrupt how software is developed, maintained, and assured within banks.
  • As AI systems are fed better and more data, they can predict the cost of quality across the software lifecycle by taking into account historical project data and QA costs.
  • Artificial intelligence can also help predict which modules or components in the software code can be expected to have more defects. AI can suggest better testing strategies, automate test design, and improve test coverage.
  • AI can help chalk out defect patterns for the next project release by considering data on previous defects such as root cause, severity, discovery phase, etc.
  • AI systems can leverage production data to analyze the procedures and functions and determine which ones are extensively used. Based on this insight, for new requirements, they can predict what changes might be needed in specific modules, reducing the regression test design and execution time and effort.
  • AI can help businesses leverage automation to undertake testing rapidly and ensure faster installation of the latest tech in banks with minimal testing effort.

In order to successfully transform customer experiences, banking businesses need to accelerate time to market for both new products and new releases for existing products. The age of speed demands, companies to stand out through continuous development and delivery with assured quality, beyond traditional QA methodologies.

In a nutshell, AI can boost accuracy, maximize test coverage, and ensure faster turnaround for rapid digital transformation.

At Maveric, an entire suite of services to help companies embed shift-left strategies in QE. The extreme automation practices help you install digital transformation quicker and with a greater sense of satisfaction and reliability.

We help organizations implement early-stage testing with a strong focus on product quality which aids in producing defect-free code. Additionally, we also support non-functional testing in the early stages of SDLC and introduce extreme automation through service virtualization.

Not having to wait for design components to get in shape before testing has a huge impact on the robustness of your product. Learn more about Maveric and how it can be a trusted partner for your bank.

This blog has been published in DATAQUEST.

The Power of AI in Quality Engineering