Connected Industry and Enterprise

Role of AI, IoT and Geospatial Technology

Vijay Kumar, CTO – ESRI India

Agenda:

Understanding IoT

IoT component and deployment patterns

ArcGIS – Geospatial Platform with IOT, Big Data and Machine

Learning

Way Forward

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IoT overviewWhat is the Internet of Things (IoT)?

The network of physical objects that contain embedded

technology to communicate and sense or interact with their

internal states or the external environment.

Source: Gartner February 2016

Public Safetypolice fire

surveillance

Public Healthhospitals ambulances

Transitbuses taxis rail

trains crowds

Connected Carsautonomous driving traffic conditions holes

parking meters road conditions slippery areas

network improvements

Energy Usageelectricity gas smart meters

City Workerssanitation snow plows

Airportsflight status queues

plane location runway status

Buildingslighting hvac

occupancy counts

Internet of your Things

Environmentnoise co2 nitrates

gases temperature humidity

atmospheric pressure radiation

pesticides electromagnetic feedback

rain gauges water level gauges

water quality air quality

Weatherwarnings earthquakes

precipitation icy conditions

Peoplehealth monitoring

social activityTelecommunications

cell phone signals dropped calls

bringing geospatial insights to your

IOT

DesktopWeb Device

with real-time & big data capabilities

ArcGIS Enterprise

Blueprintfor IoT solutions

• The Internet of Things (IoT) is an integrated solution that senses & collects data from devices at the

edge, analyzes that data and takes action to accomplish the business goals of an enterprise.

• An IoT solution consists of the following layers:

- Edge: Embedded technology at the “edge” that senses, acquires & disseminates data.

- IoT platform: Accepts, ingests, stores, analyzes and shares intelligence extracted from the data.

- Enterprise: Applications & processes that act upon the intelligence as a result of analytic results.

IoT PlatformEdge Enterprise

Edge Enterprise

Ingestion

Streaming

Analytics

Data Store

Batch

Analytics

Actions &

Intelligence

Policy & Orchestration

Device

Management

ArcGIS

Enterprise

GeoEvent

Server

GeoAnalytics

Server

spatiotemporal

big data store

analytics

policies & orchestration

management console

data store analytics

visualization

Operations Dashboard for ArcGIS

Insights for ArcGIS

Esri Story Maps

ArcGIS Earth

ArcGIS Online

ArcGIS Pro

Collector for ArcGIS

Web AppBuilder for ArcGIS

AppStudio for ArcGIS

dashboards

Complementing an IoT platform with ArcGISenabling geospatial insights with your IoT solution

• The Edge of an IoT broadcasts into an IoT platform such as: Azure IoT, Amazon IoT, Cisco IoT, IBM Bluemix,

Hitachi,….

• The IoT platform integrates with ArcGIS to expand it’s capabilities with spatiotemporal analytics,

visualization & dashboards.

Sensors

Actuators

Devices(or Things)

Gateways

En

vir

on

me

nt

IoT Platform

ingestion

ingestion

actions

DesktopWeb Device

live & historic

aggregates & features

map & feature service

• Ingest high velocity real-time IoT

data into ArcGIS.

• Perform continuous analytics on

IoT events as they are received.

• Store IoT observations in a

spatiotemporal big data store.

• Visualize high velocity &

volume IoT data:

- as an aggregation

- or as discrete features.

• Notify about IoT patterns of

interest.

• Adjust behavior of things in our

environment through actuation.

stream service

live features

ArcGIS

Enterprise

GeoEvent

Server

ingestion

analytics

ArcGIS as an IoT PlatformArcGIS Enterprise with real-time & big data capabilities

GeoAnalytics

Server

spatiotemporal

big data store

storage analytics

visualization

actuation

PredictionUsing known to estimate unknown

Empirical Bayesian Kriging,

Areal Interpolation,

EBK Regression Prediction,

Ordinary Least Squares Regression

Exploratory Regression,

Geographically Weighted Regression

ClassificationObject assignment

Maximum Likelihood Classification,

Random Trees,

Support Vector Machine

ClusteringGrouping of observations on similarities

Spatially Constrained Multivariate Clustering,

Multivariate Clustering,

Density-based Clustering,

Image Segmentation,

Hot Spot Analysis,

Cluster and Outlier Analysis,

Space Time Pattern Mining

Machine Learning in ArcGIS

Key Trends and Learning

• Convergence of Geospatial, IOT, AI and Realtime

• Simple Map Visualization 3D and Spatio-Temporal Analytics

• Technology Maturity is helping in easy integration

• Business Problems driven use cases and solutions

• Emergence of Fully Managed Integrated IOT Platform and Services

Thanks