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Intelligent integrations with
Azure, Logic Apps and BizTalk
Ricardo Torre
Gartner Hype cycle 2017
from Wikipedia
• Machine learning is a field of computer science that
gives computers the ability to learn without being explicitly
programmed.
Agenda
• State of Azure Machine Learning
• How can we use ML today in your integration scenarios
• Applying ML to BizTalk operational data
• Applying ML to Logic Apps operational data
• Use high level ML (cognitive services)
Azure Machine Learning Studio
Azure Machine Learning Studio is a GUI-based integrated development
environment for constructing and operationalizing Machine
Learning workflow on Azure.
• Cloud predictive analytics service
• Ready to use algorithms
• Quick deploy
• Easy drag and drop development
• Extend with custom R and Python scripts
Azure Machine Learning Workbench
• Integrated, end-to-end data science
• Advanced analytics solution
• Prepare data, develop experiments, and deploy models
• Cloud scale.
Azure Machine Learning Workbench
• Visual Studio Code and the AI Extension with Azure Machine Learning
Work Bench
How to: ML in your integration scenarios
• Actions that can be helped but using ML in integration
• Operational
• Performance
• Anomaly Identification
• Preemptive operational actions
• Business related actions
• How are my orders doing?
• Any abnormal behavior up/down stream affecting
• Development/Architecture
• Business continuity
Applying ML to BizTalk operational data
• Using BizTalk Tracking data
• Collect and prepare data for Azure ML Experiment
Solution
• Manually export tracking data
• Application Insights/Event Hubs and Stream Insights
• Prepare data
• Build and deploy model
Anomalies in BizTalk tracking data
• Unexpected long processing times
• Unhandled Exceptions
• Wrong message flow
• Changes in volume of messages
• Changes message type distribution
• Upstream/Downstream inconsistencies
DEMO
Detecting anomalies in BizTalk tracking data
Applying ML to Logic Apps operational data
• Logic Apps generate a similar tracking information
• Data needs preparing
• Similar solution can be developed
• Automate data collection and ingestion
Use high level ML (cognitive services)
• Intelligent algorithms:
• See
• Hear
• Speak
• understand and interpret natural communication
• Search
Transform your business with AI today
DEMO
Detecting Faces API
Thank you
Ricardo Torre

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Intelligent Integrations with Azure, Logic Apps and BizTalk

  • 1. Intelligent integrations with Azure, Logic Apps and BizTalk Ricardo Torre
  • 3. from Wikipedia • Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed.
  • 4. Agenda • State of Azure Machine Learning • How can we use ML today in your integration scenarios • Applying ML to BizTalk operational data • Applying ML to Logic Apps operational data • Use high level ML (cognitive services)
  • 5. Azure Machine Learning Studio Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure. • Cloud predictive analytics service • Ready to use algorithms • Quick deploy • Easy drag and drop development • Extend with custom R and Python scripts
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  • 8. Azure Machine Learning Workbench • Integrated, end-to-end data science • Advanced analytics solution • Prepare data, develop experiments, and deploy models • Cloud scale.
  • 9. Azure Machine Learning Workbench • Visual Studio Code and the AI Extension with Azure Machine Learning Work Bench
  • 10. How to: ML in your integration scenarios • Actions that can be helped but using ML in integration • Operational • Performance • Anomaly Identification • Preemptive operational actions • Business related actions • How are my orders doing? • Any abnormal behavior up/down stream affecting • Development/Architecture • Business continuity
  • 11. Applying ML to BizTalk operational data • Using BizTalk Tracking data • Collect and prepare data for Azure ML Experiment Solution • Manually export tracking data • Application Insights/Event Hubs and Stream Insights • Prepare data • Build and deploy model
  • 12. Anomalies in BizTalk tracking data • Unexpected long processing times • Unhandled Exceptions • Wrong message flow • Changes in volume of messages • Changes message type distribution • Upstream/Downstream inconsistencies
  • 13. DEMO Detecting anomalies in BizTalk tracking data
  • 14. Applying ML to Logic Apps operational data • Logic Apps generate a similar tracking information • Data needs preparing • Similar solution can be developed • Automate data collection and ingestion
  • 15. Use high level ML (cognitive services) • Intelligent algorithms: • See • Hear • Speak • understand and interpret natural communication • Search Transform your business with AI today

Hinweis der Redaktion

  1. AI, ML, VR, IoT Platforms and SDS- Impact in 2 to 5 years Talk points: Tech hype cycle
  2. Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends.
  3. Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.
  4. https://azure.microsoft.com/en-us/blog/diving-deep-into-what-s-new-with-azure-machine-learning/
  5. Tell a story from my days working with large BizTalk customers where problems happened but were hard to identify until we looked through tracking data to find the culprit
  6. Show Azure ML experiment where: Collect significant amount of tracking data Upload to Azure ML Studio Create experiment that prepares data Build Model Deploy Model – show practical example of anomalies being identified and normal data Retrain Model
  7. Use AI to solve business problems Vision Image-processing algorithms to smartly identify, caption and moderate your pictures. Speech Convert spoken audio into text, use voice for verification, or add speaker recognition to your app. Knowledge Map complex information and data in order to solve tasks such as intelligent recommendations and semantic search. Search Add Bing Search APIs to your apps and harness the ability to comb billions of webpages, images, videos, and news with a single API call. Language Allow your apps to process natural language with pre-built scripts, evaluate sentiment and learn how to recognize what users want. Microsoft AI Platform Uber example
  8. Fun demo using Cognitive Services using the Logic Apps