Big data platform for IoT Cloud Analytics. Chen Admati, Advanced Analytics, Intel
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2 Big data platform for IoT Cloud Analytics Chen Admati, Advanced Analytics, Intel
3 Agenda Intel End-to-End offering Analytics vision Big data platform for IoT Cloud Analytics Platform Capabilities & Building block IoT in Healthcare Wearable for Parkinson Disease Technology
4 Intel - Intelligence from device to cloud Edge - Scalable roadmap of products to power devices at the edge of the network, from the energy-efficient Intel Quark SoC X1000 to high-performance Intel Xeon processors Gateway - Intel Gateway Solutions for the IoT presents a new family of intelligent gateway solutions that connects legacy systems and provides common interfaces and seamless communication between devices and the cloud, targeting industrial, energy, and transportation markets Cloud - Horizontal building blocks for vertical end-to-end analytics, as well as distributed analytics for edge systems and the datacenter to power companies to turn big data into actionable information
5 Intel vision: End-to-end analytics for IoT Verticals Build lighthouse solutions for targeted verticals Analytics Platform Enable horizontal platform for e2e analytics Data Platform Accelerate evolution of Hadoop Servers Storage Network Catalyze architectural transitions to drive growth
6 3 Layers of Analytics Edge Stream Batch Real-time Near Real-time Ad-hoc Event processing / pattern matching Data filtering Limited compute/storage In-memory analysis Larger compute, Limited storage Identification of hidden patterns Cross-device learning Large compute/storage
7 Big data platform for IoT Cloud Analytics Health Smart Cities Industrial Transportation Retail Analytics Services Advanced Analytics Services Data Visualization Reporting & Querying Monitoring & Alerting Activity Recognition / Context Extraction Time Series Analysis Anomaly / Change Detection (Big) Data Ingestion Platform-as-a-Service (PaaS) for real-time data & event processing
8 Data Ingestion Parsing & processing of millions of concurrent messages sent to cloud by various devices Highly scalable & persistent Stream analytics enabler Monitoring Data aggregations & normalization Pattern matching
9 Analytics Services Out-of-the-box services Powered by a intuitive web user interface Consumption through a user interface or managed APIs Data visualization Online streaming charts Reporting & Querying Dynamic data analysis Monitoring and Alerting Self-Service experts rules for device/business logic monitoring
10 Advanced Analytics Services Predictive Maintenance Inventory & Asset Mgmt. Features Extraction Features Construction Prototyping Malicious Cyber Activity Periodicity Identification Outlier Filtering Context Extraction Mobile Health Load Balancing Change Detection Anomaly Detection Activity Recognition
11 IoT in Healthcare Wearable for Parkinson Disease Parkinson Disease (PD) Neurodegenerative disease, movement disorder symptoms Existing treatments mainly for quality of life improvements ~6M patients, life expectancy: ~10-15 years Lack of objective measurements to track disease progression
12 IoT in Healthcare Wearable for Parkinson Disease Solution: Instrumenting PD patients with wearable devices for continuous movement data collection Objective evaluation of patients in their day-to-day environment Continues rather discrete Trace minor changes, Identify episodic events Promise to enable a change in course of treatment and/or expedite research to find a cure
13 Technology Design for scalability, fully secured, redundant & fault tolerant Open sources technologies to reduce total cost of ownership (TCO) Infrastructure agnostics to enable deployment portability (public cloud or/and on-premise) Platfrom-as-a-Service enablement
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