- Consulting services
Infosys Responsible AI Approach: 2-Day Workshop
An on-demand 2-day workshop on Responsible AI, designed to educate and empower organizations on the importance and implementation of ethical AI practices.
Join Infosys exclusive, on-demand 2-day workshop on Responsible AI, designed to educate and empower organizations on the importance and implementation of ethical AI practices. This complimentary workshop is tailored to provide you with valuable insights into our Infosys Responsible AI perspectives and showcase our expertise in delivering cutting-edge AI solutions using Microsoft Azure that are both innovative and ethical.
The webinar sessions feature educational insights, expert perspectives to implement safe and trustworthy AI applications. It is a great opportunity to learn the industry advancements, Infosys best practices and gain strategy edge in the Responsible AI field.
The workshop will enable Executives and Industry leaders to gain strategic insights into how responsible AI can support your business growth and innovation. For the Compliance and Legal Professionals, an approach to ensure AI solutions meet regulatory and ethical standards and for the AI and Data Science Teams techniques for deploying ethical AI solutions.
Agenda: Day 1 • Understanding Responsible AI: • What is Responsible AI and why it matters. • Key principles and frameworks guiding Responsible AI. • Our Services and Expertise: • Overview of our AI3S (Scan, Shield & Steer) framework services, including consulting, development, and deployment in Microsoft Azure environment using cloud services like Azure Kubernetes Service (AKS), Azure Container Registry (ACR), Azure Cosmos DB & Azure Virtual machines. • Case studies and examples of successful Responsible AI implementations. Agenda Day 2: • Ethical AI Practices: • How we ensure fairness, transparency, accountability, and privacy in our AI solutions. • Tools and techniques for bias detection, mitigation, and ongoing monitoring. • Industry Applications: • Practical applications of Responsible AI across different sectors such as healthcare, finance, retail, and more. • Future trends and how to stay ahead in the evolving AI landscape.