Last week saw the Microsoft Ignite The Tour In London over 2 days, which was very packed and bumping to too many familiar faces! I am glad that I was able to make through both days and like many other conferences I usually pick and choose sessions that satisfies my gaps of knowledge as well as being able to tap into other people’s insights into how they do things differently with technologies.

This year I decided to do things slightly different. I focused day 1 on AI sessions following the learning path – Exploring Microsoft Developers guide to AI, whereby each session was building from previous one. The quality of content and speakers delivery was very well done and for me I felt that all the content, terminologies, jargon and the concepts all came together nicely for better understanding to pursue further deep dives into various topics. For those who might be interested in going through the sessions which were recorded and are available, following links will help you but definitely put yourself a day aside if you want go through these sessions as they will serve you better than picking or choosing! Day 2 consisted of attending mixture of information protection, Microsoft Teams, Power Platform sessions.

aka.ms/mymsignitethetour

AI Session Resources
aka.ms/AIML10 – Making sense of your unstructured data with AI
aka.ms/AIML20 – Using pre-built AI to solve business challenges
aka.ms/AIML30 – How to build machine learning models with no code
aka.ms/AIML40 – Taking models to the next level with Azure Machine Learning best practices
aka.ms/AIML50 – Machine learning operations: Applying DevOps to data science

 

As ever it was is always good to catch up with the Office 365, SharePoint, Power Platform community members and meeting new folks. What I liked most about this event was that the power platform user group were on the stand on Friday delivering various session topics and to me this really stood out well and so thanks to those who made it happen and reaching out to the community through this method of session deliveries. Time to review some of my learnings. Until next time… Happy Learning!