JDE Meets Machine Learning
Session ID:
JDE Meets Machine Learning
Quest2018-109370
Empowering the Citizen Data Scientist
Prepared by: Adam Crigger & David Kettinger Preferred Strategies
Remember to complete your evaluation for this session within the app!
Agenda • • • • • • •
• •
Overview of Machine Learning, Data Mining and Predictive Analytics Problems with ML and Enterprise Deployments Current Market Trends - Use Cases Leveraging Existing SQL Server and Microsoft Architectures/Services for ML Anomaly Detection Demo using proven techniques Market Basket Analysis with Association Rules Native Machine Learning and Analytics capabilities delivered with Power BI How Preferred Strategies and Microsoft Can Help Questions
Machine Learning Subfield of computer science and statistics that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions -Wikipedia
Predictive Analytics Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns. -Wikipedia
Overview Predictive analytics focuses on the unknown • Discover patterns in data • Predict future outcomes • Develop recommendations to drive change
Machine Learning Challenges
High Costs
Lots of Hype and Buzz Words
Expensive
Variety Data
New Technology
Limited Resources
Tool Confusion
Traditional Approach • Guessing • Trial and error • Immature Methodologies
Consequences • Missed opportunities • Expensive production mistakes
Complexity
Industries Applying Advanced Analytics
Retail & Consumer Products
€
Financial Services & Insurance Government Manufacturing Healthcare
Business Use Cases What can you use Machine Learning for…
Ad targeting
Churn analysis
Image detection & classification
Equipment monitoring
Recommendations
Forecasting
Spam filtering
Fraud detection
Anomaly detection
Anomaly Detection Demo
Anomaly Detection is the process of identifying patterns in data that do not conform to “normal” or expected behavior.
Market Basket Demo
Market basket analysis enables companies to identify relationships between items that customers buy.
Machine Learning Capabilities of Power BI
• • • • • •
Quick Insights Natural Language Query Natural Language Generation Explain increase and decrease in data Integration with R Predictive analytics with Azure
[email protected] [email protected] Session ID: Quest2018-109370
Remember to complete your evaluation for this session within the app!
JDE Meets Machine Learning
Quest2018-109370
Empowering the Citizen Data Scientist
Prepared by: Adam Crigger & David Kettinger Preferred Strategies
Remember to complete your evaluation for this session within the app!
Agenda • • • • • • •
• •
Overview of Machine Learning, Data Mining and Predictive Analytics Problems with ML and Enterprise Deployments Current Market Trends - Use Cases Leveraging Existing SQL Server and Microsoft Architectures/Services for ML Anomaly Detection Demo using proven techniques Market Basket Analysis with Association Rules Native Machine Learning and Analytics capabilities delivered with Power BI How Preferred Strategies and Microsoft Can Help Questions
Machine Learning Subfield of computer science and statistics that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions -Wikipedia
Predictive Analytics Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns. -Wikipedia
Overview Predictive analytics focuses on the unknown • Discover patterns in data • Predict future outcomes • Develop recommendations to drive change
Machine Learning Challenges
High Costs
Lots of Hype and Buzz Words
Expensive
Variety Data
New Technology
Limited Resources
Tool Confusion
Traditional Approach • Guessing • Trial and error • Immature Methodologies
Consequences • Missed opportunities • Expensive production mistakes
Complexity
Industries Applying Advanced Analytics
Retail & Consumer Products
€
Financial Services & Insurance Government Manufacturing Healthcare
Business Use Cases What can you use Machine Learning for…
Ad targeting
Churn analysis
Image detection & classification
Equipment monitoring
Recommendations
Forecasting
Spam filtering
Fraud detection
Anomaly detection
Anomaly Detection Demo
Anomaly Detection is the process of identifying patterns in data that do not conform to “normal” or expected behavior.
Market Basket Demo
Market basket analysis enables companies to identify relationships between items that customers buy.
Machine Learning Capabilities of Power BI
• • • • • •
Quick Insights Natural Language Query Natural Language Generation Explain increase and decrease in data Integration with R Predictive analytics with Azure
[email protected] [email protected] Session ID: Quest2018-109370
Remember to complete your evaluation for this session within the app!
