ISO/IEC 42001 - From AI Risk To Responsible AI

Webinar Summary:

In this we binar we will understand how a non-technical person will get to know the introduction to ISO 27001, This is ideal for general staff and managers.

Webinar Summary:

This webinar provides a practical guide to building dynamic queries in X++ that adapt to user-defined criteria in Microsoft Dynamics 365 Finance & Operations (D365FO). Participants will learn how to create flexible and reusable queries that filter data at runtime based on user input, enabling more interactive and efficient business applications. The session begins with an overview of the X++ Query Framework, including Query, QueryBuildDataSource, QueryBuildRange, and QueryRun classes. Participants will explore how to dynamically add data sources, joins, ranges, sorting, and grouping to queries using values entered through dialogs, forms, or parameters. The webinar also demonstrates how to construct complex search conditions while maintaining code readability, performance, and security. Through hands-on demonstrations and real-world ERP scenarios, attendees will build dynamic search and reporting solutions for modules such as Finance, Procurement, Sales, Inventory, and Supply Chain. The session also covers techniques for handling optional filters, date ranges, multi-value selections, wildcard searches, and query optimization for large datasets.

Webinar Summary:

Artificial Intelligence is rapidly transforming how organizations operate, innovate and make decisions—but it also introduces new risks related to bias, transparency, privacy, security, accountability, compliance and trust. ISO/IEC 42001 provides a structured management-system approach for organizations that develop, provide or use AI systems. This webinar introduces participants to the AI Management System (AIMS) and explains how organizations can establish a systematic approach to governing AI throughout its lifecycle. The session will explore how ISO/IEC 42001 helps organizations balance AI innovation with responsible governance, using a structured approach to manage AI-related risks and opportunities. Participants will explore the key elements of an AIMS, including organizational context, leadership, AI policies and objectives, risk management, AI impact assessment, operational controls, performance evaluation and continual improvement. The webinar will also demonstrate how AI governance can be integrated with existing disciplines such as information security, privacy, enterprise risk and compliance.