As AI transforms the global landscape, SoftServe emerges as a pioneering force, leading the charge in developing cutting-edge AI solutions while placing responsible deployment at the forefront of its strategy.
In anticipation of the AI & Big Data Expo North America, where SoftServe will showcase its expertise, Chuck Ros, Industry Success Director at SoftServe, offered invaluable insights into the company’s AI initiatives, challenges encountered, and future strategies for harnessing this transformative technology.
Highlighting a recent AI project as a testament to SoftServe’s innovative approach, Ros detailed the company’s unique solution for a software company in the field service management industry. The objective was to create an intuitive, language-model-enabled interface empowering field technicians to seamlessly access service histories, equipment documentation, and maintenance schedules. This enhancement not only boosted productivity and operational efficiency but also delivered a competitive edge for the software company and their clients, sparking a wave of additional innovation.
While the potential of AI is undeniable, Ros emphasized common mistakes businesses make when deploying AI solutions, stressing the importance of a robust data strategy, well-constructed data pipelines, and rigorous model testing. He cautioned against hastily deploying generative AI solutions without proper feasibility assessment and business viability evaluation, noting that attention should be given to whether such solutions should be developed alongside their technical feasibility.
SoftServe Responsible AI Solutions
Recognizing the ethical dimensions of AI development, Ros underscored the importance of human oversight throughout the process. SoftServe’s approach to AI development emphasizes structured engagements that evaluate data and algorithms for suitability, assess potential risks, and implement governance measures to ensure accountability and data traceability.
Looking ahead, Ros envisions AI playing an increasingly vital role in SoftServe’s business strategy, with continuous refinements to AI-assisted software development lifecycles and the introduction of new tools and processes to further boost productivity. SoftServe’s findings suggest that GenAI can accelerate programming productivity by as much as 40 percent, a figure Ros believes will continue to rise in the coming years.
When asked about SoftServe’s AI initiatives for social good, Ros highlighted the company’s commitment to empowering students and educators with AI-driven solutions. SoftServe’s efforts range from deploying machine learning models to assist students in discovering their passions and aptitudes to supporting teachers in streamlining their daily tasks.
At the AI & Big Data Expo North America, SoftServe plans to deliver a keynote presentation titled “Revolutionizing Learning: Unleashing the Power of Generative AI in Education and Beyond.” This presentation will explore the transformative impact of generative AI and large language models in the education sector, drawing from success stories like Mesquite ISD, where AI was leveraged to deliver personalized learning experiences.
Additionally, SoftServe will participate in panel discussions addressing deployment challenges and safety concerns associated with AI implementation. By sharing insights on ensuring data quality, user acceptance, and responsible AI deployment, SoftServe aims to contribute to the discourse surrounding the ethical development of AI solutions.
As a key sponsor of the event, SoftServe remains committed to advancing responsible AI practices while fostering innovation and addressing global challenges through AI-driven solutions. Ros concludes by expressing enthusiasm for the diversity of business cases in AI applications and reaffirming SoftServe’s dedication to contributing to the AI technology community.
