Security and Observability

Monday has been a typical day where application outages occurred. Often, due to the complexity of the enterprise, Tuesday and the rest of the week were just the same! We will discuss how effective capacity management reporting is used to quickly return the business to service.

“What reporting should be reviewed and communicated in the first moments of an outage?

-What additional performance reporting is critical to resolving an incident?

-What reporting and capacity management processes contribute to improvements to the resiliency of the enterprise?

-What are some of the forecast variances that occur in predicting future capacity? Who is responsible for resolution?

-How should capacity management reporting be effectively used in the post-mortem process?”

This presentation delves into the ethical complexities arising from artificial intelligence’s (AI) integration into modern life. It highlights the gap between AI’s rapid technological advancements and the development of corresponding ethical guidelines. The talk categorizes ethical issues into five domains, using real-world examples like the Cambridge Analytica scandal and AI in healthcare, to illustrate the tangible impacts and moral challenges these issues present. It then explores solutions, such as ethical guidelines and regulatory oversight, emphasizing the collective responsibility of policymakers, technologists, and users in fostering ethical AI. The session culminates in an interactive Q&A, encouraging audience engagement in ethical discourse and practical problem-solving. Attendees will gain a thorough understanding of AI’s major ethical dilemmas, awareness of existing ethical frameworks, and insights into collaborative approaches to navigate the AI-augmented world responsibly.

Most companies struggle to create business value from the huge amounts of capacity and performance data available to them. Questions like ‘who is using how much, when, at what cost and why?’ often result in ambiguous answers because of the complexity involved in mapping technical measurements such as SMF to applications and organizations. Part of the complexity is finding a balance between three opposing approaches: what is technically correct, what is fair or at least politically acceptable, and what is simple to implement and explain. Good data, tools and processes are also critical for success. This presentation is based on SMT Data’s many years of experience helping customers implement mainframe-based cost allocation. It discusses the common approaches and illustrates the pitfalls and tradeoffs that customers face.

This topic would allow you to delve into the exciting world of Artificial Intelligence (AI) and Machine Learning (ML) and how they are driving the next wave of technological transformation, particularly in the context of Industry 4.0, which focuses on smart manufacturing and automation. You can discuss practical applications, benefits, challenges, and real-world case studies in this area. AI and ML are highly relevant and evolving fields, making it an engaging topic for this conference