Io t analytics panel
Download as PPTX, PDF0 likes679 views
The document discusses analyzing data from the Internet of Things (IoT) to gain actionable intelligence. It describes how deriving value from IoT data requires collecting data from devices and sensors, performing analytics on the device, at the network edge and in the cloud, and having capabilities for streaming, real-time, and historical analytics as well as data integration and event management. Challenges of analyzing IoT data include a lack of standardization, need for real-time analysis of fast data, inconsistent security practices, and lack of integration platforms.
Io t analytics panel
- 1. ©2012 MASSTLC ALL RIGHTS RESERVED. Analyzing data to get actionable intelligence Poul Petersen BigML Jeffrey Kelly Wikibon Nicholas Arcolano Runkeeper Javed Jahangir Oracle
- 2. Internet of Things Analyzing data to get actionable intelligence The Internet of Things bringing the physical world online … … but that’s just the start.
- 3. Internet of Things Analyzing data to get actionable intelligence Deriving value from IoT requires … - Data creation via intelligent devices and sensors - Analytics on device, at the edge and in the cloud - Streaming, real-time and historical analytics capabilities - Business process management, data integration &event orchestration capabilities - A secure, stable & scalable platform for application development - Open collaboration and development of common data standards
- 4. Internet of Things Analyzing data to get actionable intelligence Investment, Innovation, & Collaboration So Why Bother?
- 5. Fitness guidance, tracking, and motivation ● Launched 2008 ● GPS and manual tracking of running, walking, cycling, and many other types of activities ● Set long-term fitness goals and track progress ● Training plans and performance insights Daily fitness companion (for iPhone 5S) ● Launched April 2014 ● Passive movement and activity tracking ● Automated goal setting based on past behavior ● Motivation and insights around the small choices you make every day
- 6. OUR TEAM ● Based in Boston ● CEO Jason Jacobs ● 50 employees ● 5-person data team THE DATA ● 32 million users ● 400 million activities ● 12 billion app events ● 175 billion GPS points GOALS AND CHALLENGES ● Providing deep historical insights per-user and across users ● Prediction, personalization, and recommendation ● Integration of a wide variety of data sources (geo, motion, events, social, third-party apps and wearables) ● Doing it all fast, with a small team, and on a tight budget!
- 7. Copyright © 2013, Oracle and/or its affiliates. All rights reserved.7 Complex value chain Lack of standardization to build, deploy & manage IoT applications Need to analyze Fast data in real time No consistency in managing security of data and identity of devices No integration platform to convert data into business automation Challenges for Your Business Industrial Automation Health Care Home Automation Smart Grid Automotive Telematics Internet of Things| Open a World of Possibilities
- 8. Copyright © 2013, Oracle and/or its affiliates. All rights reserved.8 Why IoT platform? Standardization Streamline how IoT applications are developed, secured & deployed 1 Real-Time Analytics Manage IoT data from collection, storage, processing and analysis 2 Integration Connect intelligent devices to existing enterprise applications 3 Security Manage security and identity of data, devices, enterprise applications 4
- 9. Copyright © 2013, Oracle and/or its affiliates. All rights reserved.9 Technical Benefits Open event management platform Highly scalable – proven to scale to millions of transactions per hour Flexible integration of events into enterprise business processes and systems Industry-standard data hub and data model for remote data capture Integrated row-level, role-based security, PCI compliance Integrated Advanced Analytics: Analyze Petabytes of data using Big Data technologies Oracle’s Remote Service Delivery Platform enables brand new revenue streams from innovative new services delivered through connectivity to customer assets. It also enables higher levels of customer service by being able to anticipate, identify and remedy issues proactively. Key Challenges Infrastructure to Deliver Connected Services Leverage Connectivity to Transform Customer Service Processes Convert massive data volumes into Insights and Actionable Intelligence Business Benefits New Business Models and New Revenue Streams Transform Customer Service through Connectivity Improved Customer Loyalty Lower Service Cost through predictive diagnostics and proactive services Comprehensive Customer Self Service Predictive models by leveraging event data: Quality, Warranty, Failure Modes, Usage Patterns Value: Enabling New Revenue Streams Remote Service Delivery Platform
- 10. Copyright © 2013, Oracle and/or its affiliates. All rights reserved.10 Oracle Remote Service Delivery Platform Business Benefits New Business Models and New Revenue Streams Transform Customer Service through Connectivity Improved Customer Loyalty Lower Service Cost through predictive diagnostics and proactive services Comprehensive Customer Self Service Predictive models by leveraging event data: Quality, Warranty, Failure Modes, Usage Patterns
- 11. Copyright © 2013, Oracle and/or its affiliates. All rights reserved.11 Oracle Remote Service Delivery Platform Technical Benefits Open event management platform Highly scalable – proven to scale to millions of transactions per hour Flexible integration of events into enterprise business processes and systems Industry-standard data hub and data model for remote data capture Integrated row-level, role-based security, PCI compliance Integrated Advanced Analytics: Analyze Petabytes of data using Big Data technologies
- 12. ©2012 MASSTLC ALL RIGHTS RESERVED. BigML Inc
- 13. ©2012 MASSTLC ALL RIGHTS RESERVED. BigML Inc Local Tools licenseserver license server server license server API
- 14. ©2012 MASSTLC ALL RIGHTS RESERVED. BigML Inc Actionable Insights Data ✓Easy to use ✓Powerful ✓Cost Effective What is BigML?
- 15. ©2012 MASSTLC ALL RIGHTS RESERVED. BigML Inc • Startups - Disrupting existing business • Small/Mid - Can not invest in ML process • Enterprise - Disrupting internal ML process Who uses BigML? • HR ranking job candidates: retention, best fit • Prioritizing marketing / web leads • Predicting mobile engagement • Predicting customer churn • Targeted marketing - what channel to use, etc • Fraud detection Examples