Navigating the LLM landscape
Cloud providers, Self Hosted, Serverless oh my!
Join us for a discussion on Large Language Models (LLMs) and the broader realm of artificial intelligence (AI).
We'll explore what LLMs are, how they function, the various media and mediums they utilise and the wide range of AI applications from enhancing customer service to revolutionising data analysis.
We'll also highlight key players in the AI space, detailing their services and offerings, discuss options for implementing AI in your organization, and touch on core concerns around security, compliance and data sovereignty.
Have you defined an AI strategy for your organization? Would you like to know more about what you need to consider? Join us and hear from Principal Consultant Matt Psaltis, who will guide you through the essentials of implementing AI effectively and making informed decisions for your business.
What you'll learn
- The AI landscape and it’s applications.
- AI media consumption and outputs.
- Current limitations in terms of maturity and accuracy.
- Hosting and deployment considerations.
- Security, compliance, review, data sovereignty and human intervention.
- LLM gotchas – how to control privacy and IP leakage.
- Our approach to developing an AI strategy.
Your host
Principal Consultant / AI Practice Lead
Matt is a veteran technology professional with a background in infrastructure and software engineering. With over two decades of experience in business systems development, he has led the design and implementation of enterprise solutions across a wide range of industries. Microsoft technologies have been a cornerstone of his work, providing a reliable and scalable foundation for complex business applications.
Over the course of his career, Matt has developed deep expertise in public cloud platforms, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). He is adept at building cloud-native and hybrid architectures that meet modern performance, security, and scalability demands.
For the past five years, Matt has focused on the practical application of artificial intelligence, integrating machine learning and AI capabilities into real-world systems to drive automation, insight, and improved user experiences. His work spans areas such as natural language processing, predictive modelling, and intelligent process automation.
Matt brings a unique mix of technical depth and business understanding, making him a trusted adviser and collaborator on high-impact technology initiatives. Whether leading engineering teams or working directly with stakeholders, he is passionate about delivering solutions that are not only technically sound but also aligned with strategic goals.