Twin Cities ISC2 Twin Cities Chapter > (ISC)2 Twin Cities News and Events > Other Cybersecurity Events > Applying AI To Enterprise Architecture
Applying AI To Enterprise Architecture
Date and time
Friday, November 15 · 8:30am – 1pm CST
Location
Amazon
323 North Washington Avenue Minneapolis, MN 55401
Registration Link
https://www.eventbrite.com/e/applying-ai-to-enterprise-architecture-tickets-1049661946137?aff=isc2tc
Join the Minnesota chapter of the AEA for an engaging and forward-thinking event that delves into the future of enterprise architecture through the lens of cutting-edge technologies: Generative AI (Gen/AI), AIOps, and MLOps. As businesses strive to keep pace with the complexity of IT operations and the demands of real-time decision-making, this event will showcase how these innovative technologies are transforming enterprise architectures and driving operational efficiency.
From exploring the latest patterns in Gen/AI and its rapidly growing applications in procurement and enterprise solutions, to the revolutionary integration of AIOps and MLOps for automating and optimizing IT systems, you’ll gain insights into how these methodologies enable scalability, agility, and predictive analytics. With real-world examples, live demonstrations of Large Language Models (LLMs) in action, and a balanced discussion on the benefits and challenges of adopting these technologies, this event is designed to inspire and equip organizations to thrive in the data-driven, AI-powered future.
Whether you’re an enterprise architect, IT leader, or business strategist, this event promises to provide actionable insights into the innovations reshaping the industry and the strategic imperatives needed to remain competitive in today’s complex digital ecosystem. Don’t miss this opportunity to be at the forefront of the next wave of enterprise transformation!
Topic: Enterprise Architecture Patterns with Gen/AI
Gen/AI is reshaping the landscape of enterprise architecture, offering new opportunities for innovation, efficiency, and competitive advantage. Learning Gen/AI (Generative Artificial Intelligence) is rapidly emerging as a game-changer for enterprise architects. As Gartner’s 2024 Hype Cycle indicates, many Gen/AI use cases have surpassed the trough of disillusionment, signaling a shift towards mainstream adoption. Particularly in the realm of Procurement and Sourcing Solutions, Gen/AI is poised to reach the “Plateau of Productivity” within the next two years, driven by rapid adoption and multiple use cases. In this presentation, we will delve into some of the typical enterprise use cases where Gen/AI can be leveraged. We will demo how Large Language Models (LLMs) are being integrated into enterprise solutions, and highlight best practices for solving complex use cases. Additionally, we will discuss the potential shortcomings and limitations of using LLMs, providing a balanced perspective on this transformative technology.
Speaker Information
Henry Yan has 25+ years of IT experience in software development, software design and enterprise architecture. As chief enterprise architect with Optum and HealthPartners, he was responsible for developing the goals and capabilities of the enterprise architecture team. As architecture consultant, he worked with Fortune 500 companies in various architecture activities such as enterprise cloud strategy, digital transformation, legacy modernization, and solution design to enable value driven business capabilities. He is now a Senior Solution Architect for AWS.
Topic: Revolutionizing Enterprise Architecture Design with AIOps and MLOps: Innovations and Business Potential
In today’s rapidly evolving technological landscape, traditional enterprise architecture (EA) models are struggling to keep pace with the increasing complexity of IT infrastructures, operational demands, and the need for real-time decision-making. This paper explores how integrating Artificial Intelligence for IT Operations (AIOps) and Machine Learning Operations (MLOps) can revolutionize enterprise architecture design by automating and optimizing IT operations, improving system performance, and enabling predictive insights. The convergence of AIOps and MLOps within EA frameworks presents significant innovations that enhance agility, scalability, and resilience.
AIOps leverages advanced analytics and machine learning to proactively manage and monitor IT environments, offering solutions such as automated incident resolution, anomaly detection, and real-time system health monitoring. Similarly, MLOps bridges the gap between development and operational deployment of machine learning models, ensuring continuous delivery and integration in dynamic environments. Together, these methodologies not only enhance IT operations but also create a unified, intelligent architecture capable of self-healing, adaptive scaling, and optimized resource utilization.
This paper examines the business potential of AIOps and MLOps integration, highlighting case studies and real-world applications across industries. By embracing these innovations, organizations can drive operational efficiency, improve customer experiences, reduce downtime, and create robust architectures that align with modern digital transformation goals. The adoption of AIOps and MLOps is not just a technical advancement but a strategic imperative for enterprises looking to thrive in an increasingly complex, data-driven ecosystem.
Speaker Information
Founder and Educator, Indiana University Bloomington, IEEE, One Stop for Cloud
Ayisha Tabbassum is a Certified Multi-Cloud Architecture Enthusiast, Senior IEEE Member, Public Speaker, and Educator based in Eden Prairie, Minnesota. With a master’s in computer science from Indiana University Bloomington, Ayisha currently serves as a Cloud architect driving Cloud Operations and Multi-Cloud Architecture , where she drives cloud infrastructure solutions on AWS, Azure, and GCP. As the Founder and CEO of One Stop for Cloud, she leads a premier EdTech company focused on simplifying cloud learning.
Ayisha is a seasoned architect with expertise in Cloud, FinOps, SRE, Security, and Observability. Her technical acumen spans automation, CI/CD, and cloud security tools like Wiz and AWS Security Hub. She has presented at numerous conferences, authored several cloud architecture articles, and actively shares insights on Medium. Recognized for her contributions to the tech community, Ayisha is a passionate advocate for AI and cloud adoption in diverse domains.