Dhivya Guru of Deutsche Bank Technology

Generative Artificial Intelligence is rapidly emerging as a practical enabler of productivity across professional and everyday settings. Its true value lies not merely in content generation, but in its ability to help users draft communication, summarize information, prioritize tasks, and translate complex ideas into clear, actionable outputs. This talk explores how practical prompt design can transform Generative AI into an effective day-to-day productivity partner. It highlights the principles of writing useful prompts by incorporating role, context, constraints, and desired output format to improve relevance and efficiency. The session demonstrates how well-crafted prompts reduce cognitive load and save time while preserving human judgment. The discussion emphasizes that Generative AI is most effective not as a replacement for expertise, but as a tool that amplifies clarity, speed, and decision support in modern work.

Biography:

Dhivya Guru is a technology leader and researcher with a focus on financial systems modernization, scalable enterprise architecture, cloud-native platforms, workflow orchestration, and intelligent automation. With over 19 years of experience, she has led large-scale digital transformation initiatives across global financial services organizations, helping design resilient and efficient systems that support modern banking operations. Her work centers on improving productivity, operational agility, and decision-making through practical applications of technology and AI. She currently serves as an Assistant Vice President at Deutsche Bank Technology, where she provides senior technical expertise for critical payment and financial platforms, cloud-native modernization, CI/CD transformation, and secure system design initiatives that directly support global banking operations. Prior to this, she held leadership roles at Cognizant and KiteString, where she led large-scale enterprise modernization programs for global clients such as Walmart, guiding cross-functional teams, defining architectural standards, and delivering automation-driven solutions that significantly improved system efficiency and scalability. Her research interests include AI-driven financial analytics, interpretable machine learning, and applied AI for real-time decision support in enterprise environments. She has authored and co-authored international conference papers and book chapters and serves as a reviewer and technical program committee member for IEEE conferences. She is an IEEE Senior Member and an active Women in Engineering leader, contributing to research, mentorship, and professional service within the engineering community. Dhivya is committed to advancing innovation through responsible, human-centered technology that strengthens organizations and empowers professionals to work with greater clarity, efficiency, and impact.