FAQs and additional resources
This topic answers common questions and explains how to access additional resources, including BMC Support.
Frequently asked questions
This section answers frequently asked questions (FAQs) about the product.
What is the BMC AMI Assistant in BMC AMI Products?
Our AI Assistant enhances productivity in mainframe environments by providing code explanations, root cause analysis, code generation, and recommendations for next steps based on root cause explanations. It helps developers and system programmers understand complex code, troubleshoot issues, modernize applications, and resolve incidents efficiently.
How does the BMC AMI Assistant ensure accuracy and reliability?
AI-generated insights are recommendations, not absolute solutions—users must review and validate outputs before implementation. BMC AMI Assistant leverages available data, follows AI best practices, and user feedback to minimize errors and improve recommendations.
What are the intellectual property (IP) considerations when using AI-generated content?
The AI models used by BMC AMI Assistant may have been trained on publicly available code and documentation. Users should use caution and follow their organization’s IP policies and verify BMC AMI Assistant content before use.
How does the BMC AMI assistant generate code?
BMC AMI Assistant uses LLMs and provides automated suggestions, such as converting COBOL code to Java, accelerating modernization efforts. Human validation is required to ensure accuracy, efficiency, and adherence to best practices.
How does the BMC AMI assistant recommend the next steps based on root cause explanations?
After identifying the root cause of an issue, BMC AMI assistant suggests remediation steps, configuration changes, or automation opportunities to resolve it. Recommendations can be tailored based on historical data, system and event logs, and best practices for mainframe operations. Users can customize AI-generated next steps based on organizational policies and workflows.
Can the BMC AMI assistant introduce security risks?
BMC AMI Assistant follows very strict security protocols and policies, where sensitive system data, credentials, or proprietary code are not exposed without granted permission. Customer personal data is subject to BMC’s Data Processing Agreement (DPA) and processed according to EU and UK highest data privacy standards, as per BMC’s Data Privacy Binding Corporate Rules (BCR). Users are advised to follow secure coding and validation practices.
How does the BMC AMI Assistant prevent bias and ensure fairness?
While BMC AMI Assistant-generated responses are designed to be neutral and unbiased to avoid discriminatory or misleading language, ultimately, the user’s regular evaluations help detect and mitigate inaccuracies or biases in AI outputs.
Can users customize BMC AMI Assistant generated output?
Yes, users can customize the level of detail based on the persona and skill level for BMC AMI Assistant generated explanations and recommendations. The system provides traceability, allowing users to understand the reasoning behind generated suggestions.
Who owns the AI-generated output of BMC AMI Assistant?
Users retain full ownership of their work. BMC AMI Assistant does not claim any rights over generated suggestions. Users should review generated content to ensure compliance with licensing and attribution requirements.
Does the BMC AMI Assistant support compliance with industry regulations?
Yes, it aligns with GDPR, SOC 2, and other compliance frameworks to ensure responsible AI use. It follows mainframe security policies, ensuring AI-driven insights do not compromise regulatory compliance. In addition, BMC committed to responsible AI practices under the European Artificial Intelligence Act and signed the EU AI Pact Pledge.
Is the BMC AMI Assistant intended to replace human experts?
No, BMC AMI Assistant is designed to augment human decision-making, not replace it. It enhances insights and recommendations but does not substitute human expertise. Users should apply their own judgment, validation, and security best practices when leveraging AI-generated insights.