Revolutionizing the future with Generative AI

Generative AI, or GenAI, is revolutionizing work from moviemaking to manufacturing, with enterprises exploring use cases that can deliver maximum results. Gartner predicts that 90% of service providers will use GenAI for software development services, including code compiling and optimization, automated debugging, and automated quality assurance (QA) testing by 2027.

Test Automation

Financial services are leveraging GenAI to drive personalized customer experiences, detect fraudulent activities, and quickly launch products. To support this dynamic evolution, they need to automate QA and testing by leveraging GenAI to minimize errors. By leveraging the capabilities of GenAI with test automation, organizations can ensure accuracy and reliability, maintain a high level of security, minimize the impact of bugs and vulnerabilities on end-users, and prevent potential financial risks.

Ness recently worked with a leading consumer bank elevating the testing process with simplified, streamlined, and highly productive AI-powered tools. The bank’s complex manual testing process was streamlined with automation across multiple legacy systems, automating over 98% of the business-critical applications and optimizing testing costs. This transformation helped them save up to 1,400 hours in 8 months, reducing the testing effort per cycle by 81%. In addition, the automation success rate improved to 88%, significantly improving the testing process. Learn more.

Incident Response System

Modern Incident Response Systems are leveraging GenAI and AI Copilot systems to proactively predict issues and identify patterns and trends. GenAI assists in creating a robust knowledge base to help organizations make data-driven decisions and learn better from past incidents and resolutions by accessing instant information.

A leading product and service provider integrated a data-driven approach by implementing the Incident Response (IR) system to facilitate the identification of trends, enabling informed decision-making based on incident data analysis. Read more.

Content Generation

GenAI provides a straightforward way to develop creative content that meets the needs of the e-commerce industry. Its capability to understand natural language has improved the communication between brands and consumers, resulting in increased engagement, efficiency, and satisfaction. GenAI has transformed the e-commerce world by providing personalized customer support and improved product discovery.

Ness has recently collaborated with a leading product content orchestration platform to create an automated content generation model that incorporates ChatGPT. We developed a powerful data model and implemented a scalable solution that can be used throughout the client’s product suite. This has not only facilitated the efficient content generation process but also boosted engagement through a variety of content and campaigns. Read more.

Leveraging GenAI to drive software engineering productivity.

Implementation of GenAI has far-reaching implications, and embracing these changes can lead to a transformative and more productive landscape in engineering. We conducted a comprehensive study on maximizing GenAI’s impact on engineering productivity considering the distributed development environment, engineering processes, methods, and tools. Utilizing our proprietary platform Matrix, we engaged 100+ software engineers across use cases and found that GenAI significantly impacts repeatable sustenance activities, reducing knowledge barriers and increasing the potential for globalizing a higher number of products.

GenAI tools accelerated the completion of reviewing, fixing, and modifying existing code, improving engineering engagement, and expediting tasks through collaborative team dynamics, collective problem-solving, right upskilling, tooling, and processes. These accelerated workflows help reduce task completion time by 70%. Read our whitepaper here.

AI is all set to be the game changer for businesses, contributing to their success, efficiency, innovation, and competitiveness. While leveraging AI systems brings many benefits to organizations, it also increases the need for accountability, opening conversations around ethical AI development and responsible use of advanced technologies. The global economy has reaped the benefits of AI integration, with a projected $2.6 trillion to $4.4 trillion annual addition to the global economy attributed to AI technologies, according to McKinsey.

From testers to designers and developers, AI enables productivity improvement for various roles involved in the software engineering process. At Ness, we drive productivity to the next level by implementing DevOps practices. It includes harnessing tools for test automation, adopting Infrastructure as Code, utilizing Low code/No code platforms where applicable, and delivering high-quality products efficiently.

The future of our world is now a blend of humanity and technology, creating a brighter and more interconnected future.