Vangelis Misirlis
Sr. Data and AI Solution Engineer
Actions
Originally from Thessaloniki, I fulfill my passion for Big Data, Analytics and AI at Microsoft as a Data and AI Solution Engineer.
A wide variety of professional interests including Business Intelligence, Machine Learning, Business Analytics, Psychology, and Entrepreneurship capture my attention.
I am passionate about software engineering, problem-solving and in tune with people around me. I strongly believe that combining both technical and social skills any demanding and challenging project can be tackled.
In my free time, I am an application developer, a mountain climber, and a sailor. Currently live in Thessaloniki, Greece.
Links
From Data to Decisions: An e2e Demo of Microsoft Fabric's Financial Data Analytics Capabilities
Embark on a captivating journey from raw data to actionable insights with our immersive end-to-end demo of Microsoft Fabric's financial data analytics capabilities. Join us as we delve into the remarkable power of this advanced tool, showcasing its ability to extract, transform, and analyze data seamlessly. Witness the seamless integration of disparate data sources and the intuitive visualization of key financial metrics. With an emphasis on transparency and simplicity, this end-to-end demo will demonstrate how Microsoft Fabric enables organizations to streamline their data analytics process, empowering them to make informed decisions that drive financial success. Don't miss out on this transformative experience, where we bring the entire data analytics journey to life, from start to finish.
Introduction to ML Ops (Machine Learning Operations)
Ever wondered how organizations build, deploy, maintain, adapt, retrain and redeploy large-scale AI-powered applications? In today’s fast-paced industry, maintaining and deploying scalable applications while being able to adapt quickly to the changing consumer requirements is of utmost importance. Join us as Vangelis Misirlis will explain how this is achieved using MLOps.
Data Storage implementation with Azure Data Lake
In this session, you will learn how to design, build, and monitor an Azure Data Lake solution. First of, we explore Azure Data Lake Storage. Next, we understand operationalizing data movement and preparation with Azure Data Factory. Finally, we learn how to monitor and troubleshoot the implemented solution.
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top