SoftServe is leading the way in developing advanced AI solutions, prioritizing responsible deployment. Chuck Ros, Industry Success Director, shared insights into SoftServe’s AI initiatives, challenges faced, and future strategies.
Ros highlighted a recent project where SoftServe created an easy-to-use, language model-enabled interface for a software company in field service management. This interface allows field technicians to access service histories, equipment documentation, and maintenance schedules, enhancing productivity.
He emphasized the importance of a robust data strategy, adequate data pipelines, and thorough model testing to avoid common mistakes in AI deployment. Ros also cautioned against rushing into generative AI solutions without assessing feasibility and business viability.
Regarding ethical AI development, Ros stressed the need for human oversight to manage dynamic data quality, detect bias, ensure data privacy, and ethical use of AI systems. SoftServe’s approach involves structured engagements to evaluate data and algorithms, assess risks, and implement governance measures.
Looking ahead, Ros sees AI playing a vital role in SoftServe’s strategy, with refinements to AI-assisted software development lifecycles and the introduction of new tools and processes to boost productivity. SoftServe’s findings suggest that AI can accelerate programming productivity by up to 40 percent.
In terms of social good, SoftServe is delivering solutions such as machine learning models for personalized learning experiences and assisting teachers in their daily tasks.
At the AI & Big Data Expo North America, SoftServe will host a keynote presentation on “Revolutionizing Learning: Unleashing the Power of Generative AI in Education and Beyond.” They will also participate in panel discussions on challenges and best practices for deploying AI and ensuring safety, security, and responsibility in big data and AI systems.
As a key sponsor, SoftServe aims to contribute to the discourse on responsible and ethical AI development, while sharing its expertise and vision for leveraging AI to drive innovation and address global challenges.