Machine Learning & Deep Learning in Production, a session for the Dataminds.be meetup.

1. @nathan_gs
@WesleyBackelant

3. Azure Bot Service
Azure Cognitive Services
Azure Cognitive SearchAzure Databricks
Azure Machine Learning
Knowledge miningAI apps & agents Machine learning

4. Azure Bot Service
Azure Cognitive Services
Azure Cognitive SearchAzure Databricks
Azure Machine Learning
Knowledge miningAI apps & agents Machine learning

5. Sophisticated pretrained models
To simplify solution development
Azure
Databricks
Machine Learning
VMs
Popular frameworks
To build advanced deep learning solutions TensorFlow KerasPytorch Onnx
Azure
Machine Learning
LanguageSpeech
…
Azure
Search
Vision
On-premises Cloud Edge
Productive services
To empower data science and development teams
Powerful infrastructure
To accelerate deep learning
Flexible deployment
To deploy and manage models on intelligent cloud and edge
Cognitive Services

6. Prepare
Data
Register and
Manage Model
Train & Test
Model
Build
Image
…
Build model
(your favorite
IDE)
Deploy
Service
Monitor
Model
Prepare Experiment Deploy

7. aka.ms/tdsp

13. Prepare
Data
Register and
Manage Model
Train & Test
Model
Build
Image
…
Build model
(your favorite
IDE)
Deploy
Service
Monitor
Model
Prepare Experiment Deploy

15. We decided to already share some of the great stuff we will be adding to our Machine Learning portfolio
ahead of //build:
 New Azure Machine Learning updates simplify and accelerate the ML lifecycle
 AI-first content understanding, now across more types of content for even more use cases
 A deep dive into what’s new with Azure Cognitive Services
TL;DR
- Integration of Machine Learning with DevOps
- New Automated Machine Learning UI
- New Drag & Drop UI for Citizen Data Scientists powered by Azure Machine Learning Service
- Hosted notebooks
- Model interpretability
- FPGA Inference generally available
- MLFLow integration
- Azure Open Datasets
- Loads of updates to Cognitive Services incl. container support for Speech Services
- …