The company’s new solution delivery resource highlights real-world applications of Gen AI and recommends IT leaders start with pilot initiatives and strategic integration to improve solution delivery.
TORONTO, October 23, 2023 /PRNewswire/ – In an increasingly complex business and technical landscape, delivery teams are challenged to produce valuable, high-quality solutions with limited resources. Info-Tech Research Group addresses the situation in a new research plan, Embrace Generative AI in Solution Delivery. The company’s latest research aims to help IT leaders overcome obstacles associated with emerging technologies and improve solution quality and team productivity by effectively leveraging the capabilities of the AI generation.
In this resource, the company explains how generative AI (Gen AI) can provide a unique opportunity to address these challenges. Info-Tech’s plan also explains that stakeholders’ understanding of the AI generation can often be obscured by hype and misinterpretations. This lack of understanding can lead to unrealistic expectations and incorrect assumptions about the role Generation AI should play.
“Generative AI presents unique opportunities to address many solution delivery challenges. Code generation can increase productivity, synthetic data generation can produce usable test data, and analysis tools can identify problems before they occur. » said Andrew Kum Seunresearch director at Info-Tech Research Group. “To be successful, teams must be ready to embrace the changes brought about by Generation AI. Stakeholders should also give teams the opportunity to optimize their own processes and assess the suitability of AI generation.
To effectively address the challenges associated with the application of AI generation in solution delivery, the company recommends in the plan that organizations establish realistic goals and objectives focused on increasing business value and efficiency throughout the solution delivery process. This can be achieved by strategically integrating Gen AI into crucial tasks and activities. Additionally, the company says it is critical for IT leaders to conceptualize and strategize for the application of Gen AI’s proven capabilities within their solution delivery practices to meet stakeholder expectations.
However, the process of delivering solutions often lacks proper documentation and consistency, resulting in a practice that fails to deliver the promised benefits. A widespread skills gap within many organizations further compounds these issues, making the effective setup, adoption and operation of Gen AI a significant challenge.
For a comprehensive assessment of Gen AI implementation readiness, Info-Tech’s research and guidance highlights the importance for IT and business leaders to consider the following, outlined in detail below :
Solution Delivery Team: Make sure the IT team is familiar with Gen AI, its applications, and the tools that make it easier to use. They must have the skills and capabilities to implement, create and manage Gen AI.
Governance : IT teams should have defined policies, role definitions, guidelines and processes that guide the implementation, development, operation and management of Gen AI.
Solution delivery processes and tools: The solution delivery process must be well documented, repeatable and optimized for effective use of AI generation. Additionally, delivery tools must be in place to activate, operate and manage Gen AI assets to improve their performance and efficiency.
Vision and executive support: Gen AI’s direction, ambition and goals must align with broader business and IT priorities. Stakeholders should support the Gen AI initiative and allocate human and financial resources for its implementation within the solution delivery team.
Solution delivery artifacts: Delivery artifacts, such as code, scripts, and documents used to train and be used by Gen AI tools, must be discoverable, accurate, complete, standardized, and optimized for Gen AI use. These must be stored in a centralized and easily accessible repository.
Operational support: The ability to manage Gen AI tools and meet the growing needs of the solution delivery practice must be ensured. This includes security management, infrastructure, risk and change management, and data and application integration.
“Start small with the intention to learn. The right pilot initiative can help teams learn the new technology and its benefits without having to worry about complex setups and lengthy training and onboarding.” Kum-Seun advises. “Review existing solution delivery tools to see what Gen AI capabilities are available and prioritize use cases where Gen AI can be used immediately.
Although generation AI can significantly benefit solution delivery teams, Info-Tech highlights that the technology may struggle to address the technical and human complexities typically encountered in solution delivery. Therefore, IT leaders should consider AI generation as a valuable tool that can improve the productivity and depth of their solution delivery practices.
For media inquiries on the topic of generative AI or to obtain exclusive and timely comments from Andrew Kum Seunexpert in Agile development, DevOps, Lean development and other best practices within the software development life cycle (SDLC), please contact Senior PR Manager Sufyan Al-Hassan has (email protected).
About the Info-Tech Research Group
Info-technology research group is one of the world’s leading information technology research and consulting companies, proudly serving more than 30,000 IT professionals. The company produces unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely and informed decisions. For 25 years, Info-Tech has worked closely with IT teams to provide them with everything they need, from actionable tools to analyst advice, ensuring they deliver measurable results for their organization.
Media professionals can sign up for unlimited access to IT, HR and software research and more than 200 IT and industry analysts through the company’s Media Insiders program. To access it, contact (email protected).
SOURCE Info-technology research group