DDD Perth 2019 Agenda
Theatre
RR5
M6
M7
M8
M9
8:00 am - 8:45 am
Registration
8:45 am - 9:00 am
Welcome and housekeeping
9:00 am - 9:10 am
Welcome to country
9:10 am - 9:55 am
9:10 am - 9:55 am
Theatre
Jennifer Marsman
9:55 am - 10:05 am
Changeover
10:05 am - 10:25 am
Machine Learning with .NET (for Non-Data-Scientists)
RR5
Ryan Preece
10:05 am - 10:25 am
M8
Daniel Sagenschneider
What Chickens and Submarines Can Teach You About Teams
M9
Mauro Da Silva
10:25 am - 10:55 am
Morning tea
10:55 am - 11:40 am
GraphQL, gRPC or REST? Resolving the API Developer's Dilemma
Theatre
Rob Crowley
NLP for fun & business - AI at your fingertips
RR5
Diana MozoAnderson, Denis Lapchev
Coding in Interviews
M6
James Miles
DesignOps - How to get ideas out faster
M8
Kristy Sachse
How do you apply Agile on a solo project?
M9
Mo Zaatar
11:40 am - 11:50 am
Changeover
11:50 am - 12:10 pm
11:50 am - 12:10 pm
M7
Sander Huijsen
Falling For Flutter: A web developer's journey to the app store, and how you can do the same
M8
Jacob Impson
How to define a chatbot personality
M9
Marieke Lunel
12:10 pm - 12:20 pm
Changeover
12:20 pm - 1:05 pm
Design: 25 lessons from 25 years
M6
Nick Leigh, Jonathan Steingiesser
Finding a Needle in a Call Stack - Intro to Distributed Tracing
M7
Josh Michielsen
Demystifying AWS Security Services
M8
Even Zhang
Building Serverless APIs with Azure Functions and C#
M9
Will Velida
1:05 pm - 2:05 pm
Lunch
2:05 pm - 2:25 pm
2:05 pm - 2:25 pm
M7
Dave Cumming
Breaking Up With Redux: Client State Management with Apollo and GraphQL
M8
Inaie Ignacio
How to survive the stakeholder battle for features
M9
Trent Cain
2:25 pm - 2:35 pm
Changeover
2:35 pm - 3:20 pm
2:35 pm - 3:20 pm
Theatre
Ashley Aitken
Hypothesis-Driven Development: Why you need online controlled experiments to scale
M7
Tommy O'Dell
JavaScript and AI, no you're not dreaming
M8
Yaser Adel Mehraban
Kubernetes vs. Serverless - The Great Cloud Native Debate
M9
Josh Armitage
3:20 pm - 3:50 pm
Afternoon tea
3:50 pm - 4:20 pm
Prize Draw
4:20 pm - 5:05 pm
5:05 pm - 5:10 pm
Thank yous and wrap up
5:10 pm
Afterparty
Keynote: AI for Earth: Using machine learning to monitor, model, and manage natural resources
Recording
Watch on YouTube (opens in a new tab)The AI for Earth program applies machine learning and data science to hard challenges in agriculture, water, climate, and biodiversity. In this talk, we will discuss how the AI for Earth team, Microsoft Research, and AI for Earth grant recipients are using machine learning to enable precision agriculture, to predict outbreaks of disease, to detect poachers in real time, and to classify animals for conservation. Finally, we will briefly provide details on the AI for Earth grant program to obtain resources for everyone to work on these challenges.
Speaker
Jennifer Marsman
