© Copyright 2017 OSIsoft, LLC

Luiz Alberto RodriguesData Platform & Advanced Analytics

Manufacturing Industry

June 6, 2017

Advanced Analytics and Machine Learning

Fonte: ICT PWC

Digital Transformation

. Digital transformation is revolutionizing not just the IT sector but the economy in its entirely. It´s progressing faster than ever with

development of increasingly powerful mobile devices, safer cloud , hyperscalecomputing, high-speed telecommunications and, more fundamentally, behavioral changes in our society.

Industry 4.0 in Manufacturing – Components

Connectivity & Cloud

Internet of Things (IoT) & Services (& People)

Cyber-Physical

Systems (CPS)

Autonomous

Robots

Additive

Manufacturing

Big Data &

Analytics / ML

Augmented

Reality

Mobile

Devices/Apps

Intelligent

Products

Plug-and-

Play Factory

Seamless

Supply &

Value Chain

Integration

Embedded

Digital

Product

Memory

Parts-

controlled

Production

Process

Predictive

Maintenance

„Factory as a

Service“

Automated

Parts

Ordering &

Delivery

Seamless

Integration

of Planning

& Production

Human-

Robot

Collaboration

Real-time

Product &

Parts

Tracking

Self-

optimizing

Production

On-demand

Assistance

(based on

AR/VR)

Internet of Things, People and Services

Device Connectivity &

Management

Data management &

InsightsAdvanced Analytics

Business Productivity &

Process Optimization

Gain visibility, access and

control to machinery and

processes

Manage KPIs to improve

operational performance and

decision making

Anticipate problems and deliver

new value added services

Integrate People and Business

Processes

Economia de Escala

Microsoft Azure - The Intelligent Cloud Platform

38

Commitment to principles worthy of your organization’s trust

GLOBAL

UNITED STATES

REGIONAL

INDUSTRYSTANDARDS

European Union

Model Clauses

United

Kingdom

G-Cloud

Singapore

MTCS Level 3

Australian

Signals

Directorate

Japan

Financial

Services

China Multi

Layer Protection

Scheme

China

CCCPPF

New

Zealand

GCIO

China

GB 18030

EU Safe

HarborENISA

IAF

HIPAA /

HITECH

FedRAMP

JAB P-ATO

FIPS 140-2 FERPA DISA Level 2 ITAR-readyCJIS21 CFR

Part 11

IRS 1075 Section

508 VPAT

ISO 27001

PCI DSS Level 1SOC 1 Type 2 SOC 2 Type 2

ISO 27018

Cloud Controls

Matrix

Content Delivery and

Security Association

Shared

Assessments

PPDM OPC

Foundation

BSI

Microsoft Azure - The Intelligent Cloud Platform

Advanced AnalyticsBeyond business intelligence

Source: Gartner

Traditional BI Advanced Analytics

VA

LU

E

DIFFICULTY

Predictive

Analytics

Prescriptive

Analytics

Diagnostic

Analytics

Descriptive

Analytics

How can we

make it happen?

What will

happen?

Why did it

happen?

What

happened?

Big Data flow

Cortana Intelligence SuiteTransform your data into actionable insight

Azure IoT SuiteMicrosoft is Bringing the Internet of Your Things to life

Producers /

Consumer Connect Devices Storage Analytics Take Action

Event Hubs SQL DatabaseMachine Learning

Azure Websites

Service BusTable/Blob Storage

Stream Analytics Power BI

External Data Sources

DocumentDB HDInsightNotification Hubs

External Data Sources

Data Factory Mobile Services

BizTalk Services

{ }

OPC Publisher

Device

Connectivity & Management

Analytics &

Operationalized Insights

Presentation &

Business Connectivity

Ind

ust

rial D

evi

ces

(OPC

and

OPC

UA

Serv

ers

)

Hot Path Analytics

Azure Stream Analytics, Azure Storm

Presentation & Business Connections

Websites, Mobile Services

Dynamics, BizTalk Services, Notification Hubs

Cloud Gateway

IoT Hub

Field Gateway

OPC API & Client

Hot Path Business Logic

Service Fabric & Actor Framework

OPC UA Integration into Azure IoT Suite

Digital Transformation Customer Outcomes

Microsoft is focused on empowering every individual and every organization to achieve more through Digital Transformation.

Building better, stronger

engagements by

harnessing data

representing a complete

view of your customer,

then drawing actionable

intelligence, predictive

insights that can deliver

personalization at scale.

Engage your

customers

Reinventing products,

services and business

models using digital

content to capitalize on

emerging revenue

opportunities.

Transform

your products

Optimizing operations to

reshape customer

relationships and service

models by gathering data

across a wide, dispersed

set of endpoints, and

drawing insights through

advanced analytics that

can be used to introduce

improvements on a

continuous, real time basis.

Optimize your

operations

Empowering employees

with tools that fuel

collaboration and

productivity, while

mitigating the risks that

come with providing

freedom and space to

employees.

Empower your

employees

Data Infrastructure for

Digital TransformationDr. Pat Kennedy,

CEO, OSIsoft

Common mission

Enable Digital Transformation

Deliver IoT Analytics

Satya Nadella CEO, Microsoft

*Hannover Messe 2016, Germany

64% of large enterprises plan to

implement a big data project.

85% will be unsuccessful.

Data cleansing and preparation tasks can take 50-80% of the development time and funds.

Source: Harvard Business Review

Succeed

Analysis

Clean & Prep

Fail

Co

rtan

a R

ead

y D

ata

Insight / Predictions as Future Data (to PI 2015)

From data to decisions and actions

Co

rtan

a R

ead

y D

ata

Now: Technology Preview

Release: 1H 2017

Now: Production Ready

Release: Nov 2016

Cortana Intelligence

Insight / Predictions as Future Data (to PI 2015)

videoAnalytics & Business Intelligence Partner Airlift

Deschutes BreweryCase Study Video

RESULTSCHALLENGE SOLUTION

COMPANY and GOAL

• PI System

• PI Integrator for Microsoft Azure

• SQL Data Warehouse

• Azure Machine Learning

• Azure Data Factory

• Accurate predictions of when a

batch’s phase transitions from

fermentation to free rise

• Impact: Losing up to 72 hours in production time

Analytics & Business Intelligence Partner Airlift

The Red Carpet

Incubation Program

(RCIP) is a

comprehensive

collaboration between

OSIsoft and Microsoft

aimed at rapid

operationalization of

advanced analytics.

Customer

Microsoft

OSIsoft

Advanced

Analytics

Partner (Data

Science)

[Optional]

IoT Workbench forAdvanced Analytics (Azure-based)

PI Integrator forMicrosoft Azure (PII4MSA)

Red Carpet Incubation Program

Red Carpet Incubation Program for Select Customers

Integrated Steel

& Mining Craft Brewery

Mining &

ResourcesMultinational

Consumer Automotive OEM

Open

Open

Open

Toyota

OSIsoft PI System

Red Carpet Incubation Program (RCIP) for PI Integrator for Microsoft Azure and Cortana Intelligence

IoT Workbench for Analytics

Data Science

VM

ML Web Services

Reports(Power BI)

Predictions as Future Data (to PI 2015 or later) Azure Data Factory (Orchestration)

AzureData Factory

Looking for 2-3 Advanced Analytics Partners

for Incubation with RCIP

• 3-way MOU required. Cortana Intelligence Expertise. Cortana/ML

Data Science Resources

• Manufacturing & Resources Practice. Willingness to work in a team,

shorter RCIP timeframe. Agile and Ready to Incubate

Open (3)

RCIP uses an agile advanced analytics incubation process to move

customers through a four step process.

I. Discovery II. Installation III. Exploration IV. Operationalization

Open (3)

Open (3)

The challenge: real time identification, tracking and event detection

People Vehicles

1.

2.

3.

Specific Actor/Object

General Characteristics

General Behavior

What we have developed over the last 16 months

Vehicles People

Three types of alerts already deployed to production

Vehicle on Shoulder Stopped Motorcycle Pedestrian on the Road

Additional alert type being deployed: helmet detection

Works indoors as well

Corp Security Application: tresspassing detection

Solution deployed by Beijing Corp Security

Partnership with MSRA1

Detects the presence of people (but not

cars) in forbidden or unexpected locations

1 We both leveraged MSRA technology (HumanSDK), as well as partnered with MSRA to deploy the real-time solution in Beijing

Our VA system is running in real time on Azure

Helmet Detecionon Azure

AbandonedObject on Azure

Developed and tested in partnership with MSRA

and Microsoft Corporate Security

Running in realtime completely in Azure

Multiple additional live video streams and

security alerts can be added

1 Two or more cameras can run per F1 Azure node at current US$83/month commercial pricing. We expect to be able to optimize code further

< US$40/month

to monitor a

camera 24/7 1

Some complex situations that we want to recognize automatically

Nervous behavior Drunk Fighting

Weapon

State/Object Recognition

Action Recognition

ILLUSTRATIVE – NOT EXHAUSTIVE

Fallen

Loitering

FloodingFireGeneral Disguises

Running

Video Analytics

Next over 12 months Microsoft will be adding 50 Datacenters One new datacenter each 7 days