Hi Emily, thanks so much for taking the time to speak with us and for speaking at this year's event! Firstly, please introduce yourself and tell us a little bit more about you and your career to date!

I'm Emily Loh, the Director of Data at MoonPay, a fintech company that's making onboarding customers to the crypto ecosystem as easy as possible. Previously, I was in data at Coinbase and Uber at their pre-IPO stages, and got my start in marketing science at iProspect (Dentsu Aegis) and IKEA. 

What are you looking forward to at European Women in Technology?

This will be my 3rd European WiT experience, including the virtual conference that happened during the pandemic years. It's always great to see the great impact that women in technology are bringing to the table around the industry, and I'm looking forward to expanding my network with some of the brightest people in business. 

What does the Leading the Digital Revolution theme mean to you?

Women are critical to and best positioned to lead the digital revolution because we're leading with empathy and with a construction mindset. Not only are we pioneers of technological innovation, we have superpowers in making connections, whether that's between people, applications and everything in between. Women have a knack for ensuring that technology contributes to the greater good of society. 

What can attendees expect from your session?

Attendees can expect an exceptionally simple approach to thinking about AI applications through a mix of problem-first principles and self-centring (in a positive way!). I will be giving a simple mental model that will be applicable on a day-to-day basis, as well as within larger strategic thinking exercises, and that will enable people to extract value. 

What is your biggest prediction for 2025 for technology?

We're already starting to see a bifurcation of what's to come in 2025, and what one needs to be successful in tech. On one hand, technological innovation will no longer be reserved to siloes of different types of engineering: AI engineering, machine learning, data science and software engineering will start to merge more explicitly, with each of these roles requiring more cross-functional interfacing with depth and breadth that's been heretofore unseen. On the other hand, with AI expediting the speed of development and extracting some of the more difficult parts of going to market, first mover advantage is going to look very different and companies or products will need to ensure they're clearly solving some kind of customer problem, and with a superior offering, to cut through the noise of competition. 

Register for your place to join Emily for her session, 'Be UnafrAId: A Practical Framework to Supercharge AI and Data Products' at European Women in Technology on 25 - 26 June!