Published on October 24, 2023, 6:54 pm

TLDR: A recent study by SoftServe reveals that incorporating Generative AI in software development can lead to a 45% increase in productivity. The research involved over 1,000 participants and found that using Generative AI technology improved software development outputs, reduced task completion time, and offered several other productivity boosts. Generative AI can be applied to various aspects of software development such as code generation, automation, bug detection, and documentation management. The article also highlights the importance of storage technology adapting to support advancements in vehicle innovation and discusses the value of platform thinking in achieving business success. As companies strive for efficiency amid economic and technological changes, embracing AI-powered solutions will become crucial.

Efficiency has become a top priority in the midst of economic and technological changes. While the AI boom is undeniable, many companies have yet to explore or implement AI technologies in the real world. This is true for companies outside of Big Tech and industry giants. However, Generative AI technology presents numerous opportunities for software companies, high-tech firms, ISVs, and DNBs to meet efficiency demands and streamline workflows.

A recent research study conducted by SoftServe titled “Generative AI: Redefining the Economics of Software Development” highlights the productivity gains that can be achieved using Open AI’s Generative AI. The study reveals that development teams across the software development life cycle (SDLC) can experience up to a 45% increase in productivity by incorporating Generative AI.

To test this hypothesis, SoftServe, a global IT consulting and digital services provider, conducted internal research involving over 1,000 associates across seven countries with varying specialties, roles, technologies used, and levels of experience. The participants were divided into groups based on their specialization and role within the organization. Half of the groups worked with GPT models 3.5 and 4 while the other half, known as the controlled group, did not use any integrated Generative AI solutions.

After conducting almost 1,500 experiments, SoftServe observed a significant improvement in software development outputs among the groups using Generative AI. Productivity increased by 45%, integration reduced task completion time by 31%, and several other productivity boosts were recorded when utilizing Generative AI technology.

The applications of Generative AI are vast and span various aspects of software development including code generation, automation, bug detection, documentation management, resource allocation, and automated testing. It is evident that AI-powered solutions have enormous potential to transform how software is developed. The question remains: when will these advancements be applied to more workflows beyond the SDLC?

As we look toward the future, it is essential for storage technology to keep pace with the rapid advancements in vehicle innovation. Russell Ruben, director of automotive and emerging segment market at Western Digital, emphasizes that as sensors, 5G, AI, machine learning, deep learning, and big data analytics continue to drive innovation in the automotive industry, storage technology must adapt to support increasingly demanding applications with mixed usages.

In a sponsored post titled “The Enterprise Guide to Platform Thinking: What It Can Do for Your Business,” the importance of platform success in achieving business value is explored. The article delves into how platform thinking has evolved over the past five years and highlights the role of cultural changes in driving platform success. Platform thinking has proven to deliver a wide range of business, operational, and customer value for organizations willing to embrace it.

Generative AI is undoubtedly reshaping software development processes and increasing efficiency across the SDLC. With further advancements and wider implementation of Generative AI technology, we can expect continued improvements in productivity and creativity within the software development industry. As companies adapt to meet changing economic and technological landscapes, embracing AI-powered solutions will become pivotal in staying ahead of the curve.


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