Introduction to edge analytics- Intelligent IoT
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The document discusses edge computing and edge analytics, highlighting their importance in Internet of Things (IoT) applications for real-time data processing. It covers the benefits and limitations of edge analytics, including reduced latency and improved decision-making, as well as the relationship between edge computing and analytics. Use-cases such as oil rig monitoring and smart water meters demonstrate practical applications of these technologies for efficient resource management.
Introduction to edge analytics- Intelligent IoT
- 1. Introduction to Edge Analytics Intelligent IoT WWCode CONNECT 2019 29th March, Bangalore, India https://india.womenwhocode.dev/agenda/ Shreya Mukhopadhyay Senior Technical Program Manager Intuit
- 2. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit IoT: Cloud computing 2
- 3. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Includes - 2000 IoT sensors - Smart meters For What? - Predicting demands - Improved Energy and Water management Link 3
- 4. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Cloud 4
- 5. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Agenda ➔ Edge Computing: What, Why, How and Where ➔ Edge Analytics: What, Why, benefits, limitations ➔ Edge computing vs Edge Analytics ➔ Edge Analytics use-cases 5
- 6. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Oil Rigs: Monitoring device data Cloud Oil rigs Oil company city office ➔ Production planning ➔ Maintenance needs ➔ New drilling sites ➔ Environmental conditions Valve failure, fire- needs immediate action (low TTR) 6
- 7. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit ATM monitoring devices Cloud ATM’s Bank Headquarters ➔ Improving user experience ➔ Transaction patterns ➔ Maintenance schedule Fraud- needs immediate action ( low TTR) 7
- 8. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Cloud computing limitations ➔ Speed - Higher time to react (TTR) ➔ Real-time Decision-making and actuation delayed ➔ Connectivity issues ➔ Privacy concerns Gartner states 90% of the data created is unusable, 32% is inaccurate 8
- 9. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Edge Computing Edge computing is the process of offloading compute and storage from the centralized Cloud to the network’s logical extremes ➔ Provides ultra-low latency ⚡ ➔ Eases the network bottleneck ➔ Supports local data processing ➔ Enables previously impossible applications 9
- 10. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Computing Layers 10
- 11. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Fog Computing (termed by Cisco) Edge Computing - Nodes, mini-cloud - Compute and storage- Local network assets, micro-data centres - Insights from mini cloud - Device - Compute and storage resides at the edge level, close to the device - Insights directly from device Edge Platforms- Microsoft Azure IoT Edge, Lambda@Edge, Dell’s Edge Gateways, VMware's Pulse IoT Center, IBM Watson IoT Platform e.g. Connected hospital, Surveillance e.g. Connected valves, sensors Layers: Edge and Fog 11
- 12. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Edge Analytics Edge analytics is an automated analytical computation of data at a sensor, network switch or other device level ➔ Analyzing data as it's generated, near to the source ➔ Decreases latency in the decision-making process ➔ Powers scalability, subset of data sent to cloud for storage and to power Big Data Analytics Platform- IBM's IoT analytics, AWS IoT Analytics, SAS Models from cloud to edge- PMML 12
- 13. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Home: Water use info and data Cloud Smart Water Meter City Water department: Water use info and data Computing ➔ Collect data, log, track ➔ Send data to cloud for storage, enable to train models 13 Society Water Management Leaks/overflow- needs immediate action (low TTR)
- 14. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Home: Water use info and data Cloud Smart Water Meter City Water department: Water use info and data 14 Society Water Management Analytics ➔ Deploy models trained in cloud at the edge ➔ Water meter sends alert to homeowner ➔ Meter automatically controls the valve to shut off water supply Leaks/overflow- needs immediate action (low TTR)
- 15. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Edge Computing Edge Analytics Edge computing is using devices strictly to act as computers to - log events - performing inter-device communication - tracking location etc Edge analytics is leveraging that same device or devices and utilizing them to process the data that has been computed and turn it into actionable information directly on that device Perform analytical functions- what should go to cloud, what shouldn’t? Descriptive OR predictive OR prescriptive analytics at the edge Edge: Computing vs Analytics ➔ Computing and analytics are not mutually exclusive ➔ 2 sides of the same coin- one cannot exist without the other 15
- 16. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Analytical Requirements Descriptive ● Analyze stored data at rest to provide overview of historical outcomes and performance ● Analyze data in-stream to provide real-time understanding of current state operations Predictive ● Identify probabilities of potential outcomes and/or likely results of specific operations ● Provide real-time predictive indicators and likely portfolio of outcomes Prescriptive (Automation) ● Provide specific recommendations based on live streaming data to an employee or to automatically initiate a process ● Contextualize live stream events within current business requirement ● Optimize future recommendations based on trained models 16
- 17. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Home: Water use info and data Cloud Smart Water Meter City Water department: Water use info and data 17 Society Water Management Descriptive ➔ Month wise water consumption patterns ➔ Plans for the next season Predictive ➔ Society: How many tankers do we need to order ➔ Water dept: Plans for the next season Leaks/overflow- needs immediate action (low TTR) Prescriptive (Automation) ➔ Water meter sends alert to homeowner ➔ Meter automatically controls the valve to shut off water supply
- 18. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Edge Analytics: Benefits - On-time decision making - Removes attic data (Gartner states 90% of the data created is unusable, 32% is inaccurate) - Saves processing and uploading time - Preserves privacy- only processed, compliant data sent to cloud - Greater production capacity planning and prescriptive maintenance - More efficient service and warranty processes - Lower impact of connectivity issues Limitation: Lost data- subset sent to the cloud 18
- 19. Questions ?? 19 Contact Details: Email: shreya_mukhopadhyay3@intuit.com Linked-in : https://www.linkedin.com/in/shreya-mukhopadhyay/
- 20. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Appendix Smart Water Meter: https://smarterhomes.com/?gclid=Cj0KCQjwhPfkBRD0ARIsAAcYycFvvj6qLS1mXbqC0iW8agguMZ48t3rdnzSuepHckHZBBRgO1FfnvS QaApEMEALw_wcB Cloud vs Fog: https://www.winsystems.com/cloud-fog-and-edge-computing-whats-the-difference/ Edge Platforms- Microsoft Azure IoT Edge, AWS Lambda@Edge, Dell’s Edge Gateways, VMware's Pulse IoT Center, IBM Watson IoT Platform Edge Analytics Platform- IBM's IoT analytics, AWS IoT Analytics, SAS Models from cloud to edge- PMML Edge Analytics Pros, cons: https://www.rightscale.com/lp/state-of-the-cloud https://internetofthingsagenda.techtarget.com/blog/IoT-Agenda/The-pros-and-cons-of-IoT-edge-analytics Other awesome reads: https://www.zdnet.com/article/10-edge-computing-vendors-to-watch/ https://www.slideshare.net/mKrishnaKumar1/open-source-edge-computing-platforms-overview?qid=559f4ab8-ed8c-4928-bbbb-2cddd 723c9e9&v=&b=&from_search=4 https://www.cmswire.com/analytics/what-is-edge-analytics/ https://www.rightscale.com/lp/state-of-the-cloud https://www.sas.com/content/dam/SAS/en_us/doc/whitepaper1/manage-analytical-life-cycle-continuous-innovation-106179.pdf https://www.kdnuggets.com/2017/10/edge-analytics.html https://www.sas.com/content/dam/SAS/en_us/doc/research2/iot-analytics-in-practice-107941.pdf https://www.gartner.com/ngw/globalassets/en/information-technology/documents/insights/100-data-and-analytics-predictions.pdf https://searchbusinessanalytics.techtarget.com/definition/edge-analytics https://www.kdnuggets.com/2016/09/evolution-iot-edge-analytics.html 20
- 21. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Cloud Surveillance Control room - Image processing - Encryption - Uploading to cloud Edge Computing vs Analytics: Surveillance 21
- 22. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Cloud Surveillance Control room - Image processing - Encryption - Uploading to cloud Surveillance: Edge Computing ➔ Collect data, log, track ➔ Send data to cloud for storage, enable to train models 22
- 23. WWCode CONNECT 2019 Shreya Mukhopadhyay, Intuit Cloud Surveillance Control room - Image processing - Encryption - Uploading to cloud Surveillance: Edge Analytics ➔ Deploy models trained in cloud at the edge ➔ Send out alerts to hospitals, fire brigade, police station in case of emergency ➔ Anticipate camera failures- send out maintenance alerts ➔ Identify blind spots- move cameras in advance 23