Steph heads up a team of digital and app innovation architects in Microsoft, helping some of the UK’s biggest organisations use the cloud to deliver more value faster. She has a broad technology background in data, AI, and software and has experience running consultancies and startups. Steph loves open source, and the impact accessible tech can have on empowering people, so she dedicates her spare time to helping others improve their use of tech. She was a Microsoft Most Valued Professional for five years in a row, she sits on the board of the SQL Saturday Foundation, and she is a co-chair for the EU SME Digital Alliance AI Focus Group.
Sessions
Previous Sessions
R was originally for doing stats, but it now does database CRUD, reporting, documentation, and even websites. It can be awkward to know where to start, so this session fast tracks you to the sections you need to know about.
Need a snazzy dashboarding tool, and want it free or cheap?
With a modicum of R and Linux knowledge, you can make interactive realtime dashboards for free that can be used in any web browser. Learn how in this session.
There's base R, modern R, the Hadleyverse, R in SQL, and more - understanding where to begin can be an exercise in frustration and cost you valuable time. This session takes you through the R you need to be productive quickly.
Learn how to use this fantastic package in R for high-speed, low-code table wrangling.
So you're thinking about doing implementing data science project in your business? If you fail to plan, you plan to fail, so come to this session to help you construct your data science plan to help you succeed!
Learn how to build bots that can reduce ticket volumes, help people get answers quickly, and reduce manual processes with no and low code bots with Microsoft Bot Framework and Power Virtual Agents
If AI is on the cards in your business you might need to make a recommendation as to whether your company should Buy or Build. Come to this session to work out the moving parts to turn "It Depends!" into an answer.