de:code 2018のレポートです

1. de:code 2018
report
Osamu Masutani
May, 23, 2018

2. Event summary
de:code 2018 Microsoft Japan
• Date : May 22-23 2018
• Venue : The Prince Park Tower Tokyo
• https://www.microsoft.com/ja-jp/events/decode/2018/
• Annual conference of Microsoft Japan for developers
• Scope : Azure, AI, Mobile, IoT
• Audience
• Application, Web developer/designer
• Infrastructure administrator
• Architect
• Event component
• Key note, Sessions, Special program
• EXPO, Hackathon
Woman in technology
Key note
CVP, Azure Marketing, Julia White氏
CVP, Developer Division, Julia Liuson氏
CVP, Mixed Reality Studios General
Manager, Lorraine Bardeen氏

3. Summary
• Theme : LOVE to CODE
• Core technologies
• Ubiquitous computing
• AI
• Multi-sense/multi-device experience
• Multi-device
• Cross platform application (timeline, messaging etc..)
• Cross platform development (Xamarin, UWP,
Functions etc…)
Your phone

4. Azure
• 4 sectors
• Container + Serverless
• IoT
• Data
• AI
• Key note demo
• Azure Event Grid + IoT Edge + Cosmos DB:Multi Master write
• NBA’s video analysis with Azure Search & Cognitive Services

5. Development suite
• Visual Studio > 7M users
• Visual Studio Code > 3.6M users
• New features
• Visual Studio Live Share
• Real time collaborative development
• Azure DevOps Projects
• App fabric + CI/CD + application insights
• DevOps project with AKS
• Azure Kubernetes Services

6. Mixed Reality
• Official “application” for Hololens
• Microsoft Remote Assist
• Remote connection into AR for assistive task
• Microsoft Layout
• AR based real size, real time design
• Current important usecases
• Remote assist
• Spatial analysis
• Training
• Cooperative work

7. Others
• IoT business collaboration lab. (ビジネス共創ラボ)
• 435 companies
• Robot, healthcare, VR, logistics etc…
• AI bot “Linna”
• Updated with sympathy engine
• Understand context
• AI for Accessibility
• Many program to assist
• Accessibility Developer Community

8. Cognitive Services
• Rebrand to “Azure Cognitive Services”
• Customizing features
• Custom vision
• Object detection with location
• Model export with TensorFlow,CoreML,ONNX
• Custom speech
• Change voice with customized person
• Custom translation
• Add dictionary
• Bing
• Visual search
• Search by image
• Custom search
• Custom image, suggest, statistics
Custom vision
Visual search

9. Azure data lake
• Azure DataLake store
• Hive-like data store for file, document, object,
table
• Can access as scale out data store
• Most of platform in Azure can access to
datalake
• Azure DataLake analytics
• SQL based big data analytic engine
• No need to understand Hadoop
• High customized data flow both query based
and process based pipeline
• U-SQL with various UDF (C#, Python, R)

10. Azure data bricks
• DataBricks on Azure
• Native full stack analytic environment on Spark
• Azure integration
• Azure AD, data store (incl. data ware house, data lake, cosmos db), Power BI
• Familiar interface
• Easy management of Spark cluster
• Jupyter notebook
• Data share
• As you go style
• Cluster can launch fast
• Auto destruction of cluster

11. Azure Geo AI Data Science Virtual Machine
• ESRI provide special VM on Azure
• ArcGIS Pro is preinstalled
• Quickly start geographic analytics
• Can coop with Data science VM features
• Image classification is demonstrated
• Import satellite image data to ArcGIS
• Analyze with plugin by python
• Display classified map in ArcGIS
Image classification
Image classification
ArcGSI Pro

12. Latest trend in Machine learning
• Senior scientist Olga Liakhovich from MS report NIPS2018
• Growing conference over 8000 people attend
• Bias
• Any data have bias
• We need consider the bias implicitly/explicitly
• Meta learning
• Learn how to learn
• Deep learning choose quick and efficient structure/hyper parameter of deep
learning