Defect Detection Using Artificial Intelligence In Software Testing – Learning From Other Industries

With DevOps in the SDLC ring things got different and what’s that? Tracking key factors like application performance, quality, and velocity becomes a continuous process. Without these measurements, making reliable, data-driven decisions can be tough.

Recent advancements of technology are merging the insurance and healthcare industries, leveraging innovative IT solutions to optimise processes, enhance patient care, and manage risks efficiently. Technology is changing the traditional ways of policy issuance, policy renewals, claims process, underwriting, risk analysis, etc.

Health insurance has witnessed a paradigm shift with the advent of personalized health insurance plans and groundbreaking technological advancements.Gone are the days of one-size-fits-all healthcare coverage, where individuals were left to navigate complex insurance policies with little consideration for their specific health requirements

The healthcare landscape is rapidly evolving, driven by technological advancements and shifting patient expectations.

Zuci has entered into a strategic partnership with Tricentis, a globally recognized innovator in AI-enabled continuous testing and automation solutions for enterprises.

It's a tiresome and exhausting process that limits a tester's ability to focus on other important aspects of their role, such as identifying new gaps in delivery and predicting the unexpected.

Financial planning has traditionally been a manual, methodical process, with analysts dedicating extensive hours to understand market trends, analyse personal financial data, and formulate long-term strategies.

From coding and documentation to debugging and writing tests, AI in software development is revolutionising the industry. AI-powered tools and frameworks have transformed workflows by automating repetitive tasks, allowing developers to focus on more complex and creative tasks

Enterprise analytics refers to the collective process of acquiring, inspecting, and leveraging data across an organization to drive crucial business decisions and strategies. The practice uses advanced techniques and tools to analyze large datasets from multiple sources within the enterprise, such as marketing, sales, operations, finance, and human resources, to derive insights and improve overall business performance.

Cloud cost optimization is the net result of cloud financial management, a set of business practices that link controls over the variable spend model of cloud IaaS to financial accountability. It includes strategies like right-sizing resources, using reserved instances, implementing auto-scaling, removing idle resources, optimising storage, continuous monitoring, cost allocation and leveraging third-party tools.

Data warehousing is one of the crucial components of an enterprise data management strategy. It empowers organizations worldwide to leverage their data more effectively, improving operational efficiency, driving better decision-making, and enabling strategic insights.

Currently we have many test automation frameworks available in our market. But Playwright and Cypress being the modern test automation frameworks in testing web applications, let’s see the battle between these two in terms of unique features, limitations, advantages and much more.

The business world buzzes with talk of automation. Robotic Process Automation (RPA) promises significant boosts in productivity, substantial cost reductions, and a host of other advantages. Yet, I’ve seen how the complexities of IT bureaucracies can hinder the seamless integration of RPA solutions.

Are you a decision-maker at a financial institution looking forward to employing ML models? Here you go! Below are some successful benefits of predictive analytics in the finance sector.

Enterprise architecture is basically a comprehensive framework used to structure, plan, and govern an organisation IT infrastructure and business processes. It involves creating a blueprint that aligns an organisation's business strategy with its technological assets and processes. 

AI, particularly Large Language Models (LLMs), unveils connections between diseases and treatments previously unseen, unraveling patterns within vast datasets that evade human observation. With AI, healthcare becomes truly personalized.  

Today, postal companies confront the challenge of swiftly transitioning from traditional mail services to the dynamic realm of eCommerce and online retail. Consequently, there is an escalating demand to adapt strategies in order to navigate the swiftly evolving technology landscape and meet evolving customer expectations.

Software complexity is one of the significant factors as they tend to have more intricate code paths, dependencies, and interactions which might need specialized testing techniques such as boundary value analysis, equivalence partitioning and combinatorial testing.

Banking and financial institutions have pioneered experimenting, failing, and adapting quickly to innovative technologies, leading to early adopters of generative AI technology.