In the vast realm of machine learning, it’s well-known that data is the lifeblood that drives model performance. Yet, as we dive deeper into the intricacies of machine learning, a pertinent question arises: Is it just about accumulating vast amounts of data?
As of 2023, organizations engaged in software development are investing 31% of their total budget into ensuring software quality meets their defined standards.
In the digital age, where data is often regarded as the new oil, businesses are responsible for safeguarding their most valuable asset – Information. Data breaches, cyberattacks, and vulnerabilities have surged to unprecedented levels, prompting organizations to invest significantly in bolstering their defenses. Cybersecurity statistics reveal a staggering rate of 2,200 cyber attacks occurring daily, with a new attack occurring approximately every 39 seconds.
Resilience is paramount in the current digital landscape. With the increasing complexity of software systems and the ever-present threat of unforeseen failures, businesses must proactively fortify their digital infrastructure. This is where Chaos Engineering comes into play. It’s not about causing chaos for chaos’s sake but rather a strategic approach to identifying vulnerabilities and strengthening systems.
Enterprise Resource Planning (ERP) systems have become the backbone of modern businesses, streamlining processes and enhancing efficiency. However, an ERP system’s successful implementation and operation require meticulous testing to ensure it aligns seamlessly with your business needs. This comprehensive guide will explore what ERP is, the types of ERP testing, and its benefits that ensure your ERP system functions flawlessly.
In today’s dynamic business landscape, where digital transformation is no longer an option but a necessity, organizations often grapple with the complexities of digital delivery and quality engineering. In our recent webinar, we explored the challenges organizations face on their journey to successful digital delivery and quality engineering.
The retail sector is in a paradigm shift of digital transformation, with an anticipated 25% of global retail poised to migrate online by 2025. APIs facilitate digital-first shopping experiences in this evolving landscape, allowing retailers to swiftly adapt and enhance their systems. They empower retailers to extend services like online orders with in-store pickups, curbside delivery, and personalized online shopping recommendations, catering to remote customers’ preferences.
Gartner predicts that by 2026, 75% of organizations will adopt a digital transformation model predicated on the cloud as the fundamental underlying platform. Every organization has a cloud strategy and vision with annual goals, yet the business risky cloud migrations have aged in backlogs or implemented with straying budgets & timelines. ‘Assurance’ is the most critical factor in business readiness, scoping, budgeting, and concluding the cloud migration.
In today’s rapidly evolving business landscape, staying competitive is more challenging than ever before. Companies across various industries continually seek innovative ways to gain a competitive edge, and one of the most effective strategies is leveraging digital product engineering. Digital product engineering combines technology, design, and engineering to create products and services that meet customer needs and surpass their expectations.
Large language models (LLMs) have recently garnered immense popularity and global attention due to their versatile applications across various industries. The advent of ChatGPT in late 2022, particularly resonating with Gen Z, exemplifies their impressive capabilities. Nowadays, the cumbersome process of navigating automated phone menus (pressing 1 or 2) for customer support is becoming less desirable, with chatbots like Siri and Alexa offering a more user-friendly alternative.
