one hour webinar on
Responsible AI: From Innovation to Infrastructure

abstract
Artificial Intelligence is no longer a futuristic experiment. It is rapidly becoming the backbone of enterprise operations. Yet the consequences of deploying AI at scale are too significant to ignore. Without responsibility built in from the start, organizations face risks of bias, inefficiency, fragility, and loss of trust.
This webinar will present Responsible AI as a business-critical imperative rather than a theoretical or ethical concept. Participants will learn how enterprises can move beyond short-term automation and build AI systems that are explainable, resilient, efficient, and aligned with human values. Using Soothsayer’s DARWIN Framework, the session will show how to design data foundations, architecture, workflows, integration methods, and governance structures that enable sustainable AI transformation.
The session will also introduce FORM LMs (Focused Reasoning Milli Language Models). These compact, domain-specific models provide high performance without the heavy cost or environmental burden of massive, general-purpose language models.
If your organization is ready to bridge the gap between technical capability and institutional trust, this session will provide a clear and practical roadmap. Attendees will leave with strategies to operationalize Responsible AI and position their enterprises for long-term success.
Event Details
Date
Wednesday 22nd October
Time
8:00 AM EST (New York)
3:00 PM AST (Riyadh)
4:00 PM GST (Dubai)
duration
1 Hour
KEYNOTE SPEAKER
Dr. Dakshinamurthy Kolluru (Murthy)
Ph.D. from Carnegie Mellon University, USA
Dr. Murthy earned his Master’s and Ph.D. from Carnegie Mellon after starting at NIT Trichy. Over three decades, he has excelled as a researcher, scientist, mentor, and tech entrepreneur, including developing the material system for India’s first Intercontinental Ballistic Missile under Dr. A P J Abdul Kalam, winning the Binani Gold Medal.
A leading expert in AI and digital technologies, he has delivered 200+ seminars for CXOs worldwide, simplifying complex concepts to drive business impact. His work spans NLP, AI adoption strategies, and Generative AI for productivity, creating practical, AI-driven solutions while mentoring the next generation of data scientists.

Key Takeaways
Operational Imperative
Why Responsible AI is essential for enterprise success and competitive advantage in today's market
DARWIN Framework
Structured methodology for sustainable AI adoption covering data foundations, architecture, and governance
Risk Mitigation
Practical strategies for addressing AI failure modes including bias, corner cases, hallucinations, and misalignment
Implementation Strategy
How to embed Responsible AI into workflows, governance structures, and organizational culture
Who Should Attend
Senior Executives
Responsible for driving digital transformation initiatives and shaping enterprise-wide strategy
AI & Data Science Leaders
Tasked with building and scaling robust AI systems across the organization
Compliance, Governance, and Legal Professionals
Overseeing responsible technology adoption and ensuring regulatory alignment
Business Leaders
Business leaders seeking to align AI with organizational goals and culture