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As organizations look to make faster, smarter, and more contextual decisions, the ability to unlock insights from unstructured data using generative AI and machine learning has become a significant advantage. In this webinar, we will explore how IBM Decision Intelligence enables business users to seamlessly incorporate Gen AI–driven insights from unstructured sources such as documents, text, and contextual inputs directly into their decision services, without requiring deep technical expertise.
Participants will learn how Decision Intelligence's built-in prompt editor allows generative AI to analyze and generate content using the live context of a decision service, and how few-shot prompting can improve the quality and relevance of outputs derived from unstructured data. The session will also highlight how predictive capabilities from machine learning models can be infused into business logic to support more informed, data-driven decisions.
We'll conclude by showing how these combined capabilities help unlock the value of unstructured data, increase decision quality, streamline automation efforts, and enable organizations to respond with greater agility to evolving business needs.
Speaker:
Ashwini P
Ashwini is a software developer in the Business Automation, Decisions team, bringing over a decade of experience across frontend development and backend services in Java. She focuses on optimizing backend services and user‑centric features.
Harsh Patel
Harsh is a software developer at IBM on the Decision Intelligence team. He brings a diverse technical background in frontend and backend engineering, complemented by expertise in CI/CD and technical product management. Harsh focuses on bridging the gap between complex technical architecture and user-centric design. His work centers on optimizing backend architecture, creating intuitive user experiences, and developing impactful AI-driven tools.
Uzair Jawaid
Uzair is a software developer on the Decision Intelligence team, specializing in building the Decision Assistant with over five years of frontend development experience. He focuses on elevating user experiences with generative AI by designing Decision Intelligence components that are robust, accessible, and intuitive. Uzair’s background spans backend development, automated testing, production support, and open‑source contributions to the IBM Carbon Design ecosystem, giving him a well‑rounded foundation across the full development lifecycle.