How often do Your Machines and People talk? Humanizing the IoT - AWS IoT Web Day

Confidential :: Not for Distribution :: © 2015 Decisyon, Inc. / All Rights Reserved.

The Internet of Everything

Application Builder

UNIFYING PEOPLE, PROCESS, DATA & THINGS

Cosimo Palmisano, VP of Product Management

@cosmicpalmisano

www.decisyon.com


Agenda

o From Industrial IoT to IoE

o The IoE Market Opportunity

o The IoE need

o Our Mission (Humanizing IoT)

o What does it mean to Build IoE

Apps?

o Industrial IoT Use Cases

o What we learned

o Why AWS for IoT

2


Market Opportunity

The evolution from the industrial based Internet of Things (IoT)

to the Human Based Internet of Everything (IoE)

3

Behind every machine there are humans

analyzing, collaborating, deciding and acting.

IoE expands the IoT value chain by

including the human and process elements

necessary to turn machine and business

data into smarter operations for a

competitive edge.


will be five to ten times

more impactful in the next

decade than the entire

internet has been to date.

John Chambers, Cisco CEO


Significant Opportunity in IoE applications that involve tight

integration of PEOPLE, PROCESSES, DATA & THINGS.

4

$14.4

Trillion

2013 2022

Asset

Utilization

Customer

ServiceProducts &

Retail

Manufacturing

OperationsWarehouse

Operations


Are we

missing

someTHING

really

important?


#HumanizingIoT


P2P

M2M

M2P

From IoT to IoE


M2MValue Chain

Data SourcesMachinesSensors

Data Transfer

Process & Data

Intelligence

Analytics and Decisions

Real-time Execution

Custom Biz

Applications

Transfer

Destination

Hardware Connectivity

MachinesActuators

Data Orchestration

COLLABORATIVE DATA MANAGEMENT


Data Orchestration

Dat

aA

ctio

n

Layers

Rule-BasedEngine

Data Analysis& Visualization

Business Applications



Data Transfer

Process & Data

Intelligence


Real-time Execution

Custom Biz

Applications

Transfer

Destination


MachinesActuators

Data Orchestration



Data Orchestration

Act

ion

Layers

Rule-BasedEngine



10

M2MValue Chain

Dat

a


IoEValue Chain


Data Transfer

Process & Data

Intelligence


Real-time Execution

Custom Biz

Applications

Transfer

Destination


HumanWeb/Social

BusinessData

MachinesActuators

HumanWeb/Social

BusinessData

Data Orchestration



Data Orchestration

Act

ion

Layers

Rule-BasedEngine


Business ApplicationsD

ata



Data Transfer

Process & Data

Intelligence


Real-time Execution

Custom Biz

Applications

Transfer

Destination


HumanWeb/Social

BusinessData

MachinesActuators

HumanWeb/Social

BusinessData

Data Orchestration



Data Orchestration

Act

ion

Layers

Rule-BasedEngine



12

IoEValue Chain

Dat

a


Decisyon selected AWS for four key reasons

1. Software independence that doesn’t limit the building blocks

customers need to develop complete IoE solutions on the Decisyon 360

platform;

2. Flexibility and elasticity of the AWS environment for handling large

volumes of structured and unstructured data continuously coming from

smart devices, enterprise systems and social networks in near real time;

3. Flexible pricing model, particularly for the large amounts of data that

Decisyon applications handle;

4. Access building blocks that allows to expand the ability to scale

Decisyon 360-built IoE applications

13


Social Manufacturing


Smart Conference

16


CRM/Sales Company Details


Contextual social information

18


Smart SupplyChain


IoE in Action

Global Pharmaceutical

Manufacturer

Multiple Data Sources

Massive amounts of data

Disparate sources of information

Need for collaboration on suppliers

Tedious manual process for surveys

Global Supply Chain

Thousands of Suppliers

Changing business process

Limited Supply Chain Visibility

ThingsPeopleData Process

Supply Chain

Vendor Management


Global Pharmaceutical Manufacturer

Supply Chain – Vendor Management


Merge

External

Supplier Data

With Data

Behind The

Firewall, See

Key Issues


Smart Wind Farm


Asset Optimization

IoE in Action

Smart Wind Farm

Enterprise Asset Management System

Asset Detail Repository

Production Orders

Google Maps

Manuals

Field Engineers

Data Analysts

Maintenance Team

Executive Team

Human Resource

Cost Controllers

Predictive Maintenance

Performance Optimization

Failure Prediction

Maintenance Scheduling

200 windmills per field

20 sensors per turbine

Weather Forecast

Historian system

ThingsPeopleData Process


Social Spaces

25


In-Context Collaboration


Real-Time Analytics

27


From Data to Action


Business Impact

29

$10M return on investment from a single wind

farm over the span of several years

$1.25M gross margin creation per wind farm

20% cost reduction per wind farm resulting from lower inventory and labor costs

10% improvement per wind farm through warehousing and logistics optimization


4 Pillars mandatory for Industrial IoT

Applications

DATACollecting data from any source,

at any volume and velocity.

THINGSConnecting physical devices

& objects to the Internet &

each other.

PROCESSDelivering the right

information to the right person

or machine.

PEOPLEConnecting

people in more useful

& valuable ways.


Data Action


Manufacturing 4.0


Asset

Optimization

Human Resources

Management

Manufacturing Operations

Management

Supplier Performance

Management

Healthcare

Resources Utilization

Lean Manufacturing

Process Flows

Operational Planning

& Analytics

Warehouse Operations

Management

Pharmaceutical

Manufacturing

Retail Store

Performance Management


In-Context Collaboration

Interoperability

Execution

Create Speed


Ecosystem game

Unifying the core function elements

Collaboration & Processes(Involving People & Business Processes)

Application(Reporting, Analytics, Control)

Data Abstraction(Aggregation & Access)

Data Orchestration(Storage)

Edge Computing(Data Element Analysis & Transformation)

Connectivity(Communication & Processing Units)

Physical Devices & Controllers(The “Things” in IoT)

7

6

5

4

3

2

1


Decisyon connects

things (IoT) to the

Enterprise and

people

37

Device Management

Multi-Source Data Stream Engine (MQTT, JMS, REST API)

Rules Engine

Network Connectivity Layer

Sensors & Hardware Layer

Our Architecture

Execution Analysis Integration Social

Connectivity Unstructured Planning Collaborative

IoT

Data

Business

EcosystemIoE Collaborative Business App


With AWS (IoT) we

focus on our core

application

capabilities

38

Device Management

Multi-Source Data Stream Engine (MQTT, JMS, REST API)

Rules Engine

Network Connectivity Layer

Sensors & Hardware Layer

Our Architecture

Execution Analysis Integration Social

Connectivity Unstructured Planning Collaborative

IoT

Data

Business

EcosystemIoE Collaborative Business App


Value for Partners in IoT market

System Integrators need new ways to meet the business and

technology challenges posed by the IoE

39

“As an open, software independent environment, AWS eliminated the need for extra coding or building block work-arounds. These efficiencies dramatically reduced end-to-end development time.”

Cosimo Palmisano


Consistent User

Experience

Collaboration at the

Data & Transaction

Level

Unified Data and

Processes

Correlate

Disparate Data

How AWS helps DCY in humanizing IoT?



Application Builder

UNIFYING PEOPLE, PROCESS, DATA & THINGS

Cosimo Palmisano, VP of Product

@cosmicpalmisano

www.decisyon.com

How often do Your Machines and People talk? Humanizing the IoT - AWS IoT Web Day

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Transcript of How often do Your Machines and People talk? Humanizing the IoT - AWS IoT Web Day