Energy & Utilities Industry Web Day

Energy & UtilitiesIndustry Web Day

Thomas Menthe

Manager Energy&Utilities

[email protected]

July, 6th 2018

© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.2

Agenda09.30 - 10.00

Current Trends and Use Cases from Energy & UtilitiesThomas Menthe, Manager Energy / Utilities & Healthcare, AWS

10.00 - 10.40

Data Lakes on AWSDirk Fröhner, Solutions Architect, AWS

10.40 - 11.20

Best in Class Cloud Database MigrationsViktor Kessler, Senior Solutions Architect, mongoDB

11.20 - 12.00

Machine Learning Process: From Business Model to Machine Learning in ProductionConstantin Gonzales, Principal Solutions Architect, AWS

12.00 - 12.45

"Global Digital Use Cases from Energy & UtilitiesAndrew Hood, Business Development Manager, AWS


A more robust, fully featured portfolio

CORE SERVICES

Integrated Networking

Rules Engine

Device Shadows

Device SDKs

Device Gateway

Registry

Custom Model

Training & Hosting

Conversational Chatbots

Virtual Desktops

App Streaming

Schema Conversion

Image & Scene Recognition Sharing & Collaboration

Text to Speech

Corporate EmailApplication Migration

Database Migration

Regions

Availability Zones

Points of Presence

Data Warehousing

Business Intelligence

Elasticsearch

Hadoop/Spark

Data Pipelines

ETL

Queuing & Notifications

Workflow

Email

Transcoding

Server MigrationCommunications

MARKETPLACE

Business Apps Business Intelligence DevOps Tools Security Networking StorageDatabases

API Gateway

Single Integrated Console

Identity

Sync

Mobile Analytics

Mobile App Testing

Targeted Push Notifications

One-click App Deployment

DevOps Resource

Management

Application Lifecycle

Management

Containers

Triggers

Resource Templates

Build & Test

Analyze & Debug

Identity Management Monitoring & Logs

Configuration

Compliance

Web Application Firewall

Resource & Usage Auditing

Access Control

Account GroupingDDOS

Protection

TECHNICAL & BUSINESS SUPPORT

Support Optimization Guidance Training & Certification Solutions Management Account Management Security & Billing ReportsPersonalized

Dashboard

Monitoring

Manage Resources

Data Integration

Integrated Identity & Access

Integrated Resource & Deployment

Management

Resource Templates

Configuration Tracking

Server Management

Service Catalogue

Search

MIGRATIONHYBRID ARCHITECTUREENTERPRISE APPSMACHINE LEARNINGIoTMOBILE SERVICESDEV OPSANALYTICS

APP SERVICES

INFRASTRUCTURE SECURITY & COMPLIANCE MANAGEMENT TOOLS

CDN

Facial Recognition & Analysis

Facial Search

Patching

Contact Center

Professional

Services

Partner

Ecosystem

Streaming Data Analysis

Streaming Data

Collection

Interactive SQL

Queries

ComputeVMs, Auto-scaling, Load Balancing,

Containers, Virtual Private Servers,

Batch Computing, Cloud Functions,

Elastic GPUs, Edge Computing

StorageObject, Blocks, File, Archivals,

Import/Export, Exabyte-scale data

transfer

NetworkingVPC, DX, DNS

DatabasesRelational, NoSQL, Caching, Migration,

PostgreSQL compatible

Key Management

& Storage

Assessment

& Reporting

Integrated Devices

& Edge Systems

Exabyte-Scale

Data Migration

Deep Learning

(Apache MXNet,

TensorFlow, & others)

Local Compute


Number of total features by provider


Digital transformation to new business models

Current trends

Wind and solar reaching

grid parity

Coal in decline and natural

gas growing

Growing load defection—

MGs, EVs…

IoT and IIoT—cloud, big

data, edge devices

Distributed Energy

Resources (DER)

Customer-centric

Prosumers

Virtual Power Plant

Artificial Intelligence and

Machine Learning

Blockchain

Industrial companies

morphing into

digital industrial

Emerging trends


Utilities Value Stream

Hydro Coal/Gas Nuclear Transmission

Distribution

Industrial Commercial Residential

Current Power Utility

Generation T&D Consumers



Hydro Coal/Gas Nuclear Transmission

Distribution

Industrial Commercial ResidentialWind Solar Storage

Micro Grid

Onsite storage/

Ancillary services

Future Power Utility

Sensor

Control

Security

Generation T&DBi-directional

Consumers

Sensor

Control

Virtual Power Plant



Smart Meter Roll-out Efficient networks (Maintenance & AI)


AI in Energy & Utilities

Customer Communications

• Chatbots, recommendation engines,

• Analytics of Social media, email & chat sentiments

• Mobile applications e.g. Smart App to optimize energy bills

Digital Assistants around Smart Home

Energy Production and Management

• Sensordata analytics (pattern discovery)

• Predictive maintenance e.g. anomaly detection (cables, wind turbines)

• Smart meter data collection, analytics and machine learning

Energy Distribution

• Trading e.g. Algo(rithmic) Trading

• Price prediction

• Grid capacity planning (incl. GIS Data)


Recent Use Cases from the Utility Sector

ENEL – mass migration with savings of 50% (storage) and

20 % computational power. IOT with AWS greengrass is

another use case for ENEL.

Partner: Accenture, C3

https://aws.amazon.com/solutions/case-studies/enel/

Engie – builds IoT Dev.-platform and Big data platform

with a economic benefit of $ B.1.5 annually.

Partner: C3

https://c3iot.com/case-study/c3-iot-enables-engies-digital-

transformation/

Innogy – operates several mission-critical SAP systems

including IS-U and SAP HR, recently they used the new X1e

4TB. DevOps, employer branding, operational expenses by

12% vs. on-prem and improved their agility.

Partner: fpt

https://aws.amazon.com/de/solutions/case-studies/innogy/

Veolia Water Technologies reduces operating costs by 90

percent and accesses new opportunities for innovation

using AWS and replatforming a Mainframe to AWS.

https://aws.amazon.com/solutions/case-studies/veolia-

water/?nc1=h_ls

https://aws.amazon.com/solutions/case-studies/enel/

https://c3iot.com/case-study/c3-iot-enables-engies-digital-transformation/

https://aws.amazon.com/solutions/case-studies/veolia-water/?nc1=h_ls



BP – SAP HANA–based ‘agile analytics’ reporting and

insights system moved to AWS.

“We need the agility to be competitive when prices, policy,

technology and customer preferences are changing – and

that’s what we get with AWS”. (Steve Fortune)

Benefit: significant savings in annual licensing and

maintenance costs, increased performance of the

lubricants ERP system

Partner: Accenture

https://aws.amazon.com/de/solutions/case-studies/bp/

Data from the meters (IoT) is automatically sent back to

the company via short messages, and Essent uses AWS

to handle that data, which is expected to arrive at a rate of

200,000 messages every 10 seconds.

Benefit: high throughput, pay-as-you-go (per minute)

https://aws.amazon.com/de/solutions/case-studies/essent/

https://aws.amazon.com/de/solutions/case-studies/bp/

https://aws.amazon.com/de/solutions/case-studies/essent/



British Gas and connected home: Through its Hive smart

home products - Hive Active Heating, Hive Active Plugs,

Hive Active Light bulbs, Hive motion sensors and Hive

window and door sensors, residential customers can

control their homes from a smartphone, tablet, or PC (via

Alexa as well)

Benefit: use of full AWS IoT and analytics stack for faster

deployments, flexibility, up to 50% cost savings

https://aws.amazon.com/solutions/case-studies/british-gas/

GE Oil & Gas is migrating 500 applications/750TB of data

by end of 2016 helping it attain a 52% reduction in TCO

and greater speed to market.

Benefit: 77% faster delivery of busines applications

https://aws.amazon.com/solutions/case-studies/british-gas/


Business

AgilityOperational Resilience

Cost

Avoidance

Workforce

Productivity

Operational

Costs

• 77% faster to

deliver business

applications

• Rapid

experimentation

• Reduced

technical debt

• Streamlined M&A

activity

• 98% reduction in

P1/P0s

• Improved

security posture

• 15 cloud services

created

• Improved

performance

• 52% average

TCO savings

• 80% cloud first

adoption

• 15 automated

bots developed

• 8 cloud migration

parties

• Shift to self-

service culture

• DevOps in

Practice

• 35% reduction in

compute assets

(792)

• 50 applications

decommissioned

• $14M YOY

savings

$14.2M

investment

18

monthsFocus

311

apps in Cloud

$14M

YOY savings&

PROGRESS


Big Data for 3D Image Analysis

"Fugro Roames has enabled Ergon Energy to reduce the cost

of vegetation management from AU$100 million to AU$60

million per year.”

- Josh Passenger, Technical Architect, Fugro

Roames

• Aircraft equipped with cameras, laser sensors

• Repeated overflights of power networks

• Captured data is used to render detailed 3D models of the

power lines, and the environment

• Analytics & simulations generate actionable reports

• Goal: directing post-disaster repair and prioritizing ongoing

maintenance


AWS IoT Predictive Maintenance & Anomaly DetectionEdge Reference Architecture


The Customer Care Paradox

1https://www.businesswire.com/news/home/20170531005230/en/Energy-Providers-Falling-Short-Expectations-Digital-Customer2www.fastcompany.com/40515354/heres-why-alexa-won-ces-before-the-show-even-started

• Customer Care is plagued with long wait times, infuriating IVRs and repeated calls to get

resolution.

• The alternative is web sources, but these can drive dissatisfaction1

• 38% had trouble finding information on the website

• 34% said the information took too long to load

• 28% said the websites were not personalized

• Personalized service is a key driver, and more than half of the consumers in competitive

markets said they would consider moving energy providers if the incumbent’s products

and services were not personalized to their needs.

• Utilities need to move from a space based purely on transactions to one that is built on

customer relationships.

• There are over 45 million (…and rising) Americans talking to an AI assistant inside smart

speakers. Approximately 68% (~31M) will be talking to Amazon’s Alexa2. Mobile device

and other embedded apps add to this.


Amazon Connect (Call Center) for Power & Utilities

Dynamic

Answer customer questions

before they ask!

Specific

Power and utilities context to customer scenarios

Natural

Amazon Lex chat bots use Alexa

technology

Personal

Adapt flows on a per customer basis

Thankyou,

goodbye.

Could you please

call me back

when it’s

resolved?

S O L V E D

I see you currently

have an outage. Is

there anything I

can do?

I will call you

back when the

outage is

resolved.


Contact Flow Engine – Customer Experience Example

Ok, you are now booked for a

9:00AM departure tomorrow out of

San Francisco, arriving in Seattle at

11:45AM.

Can you please

rebook me for the

same flight tomorrow?

GreatThank you!Data

DipCRM content

Hi Nikki Wolf,I see your flight was

cancelled today. How can

I help you?

Incomingcustomer call


Contact Flow Engine – Customer Experience Example (Lex)

Ok, you are now booked for a

9:00AM departure tomorrow out of

San Francisco, arriving in Seattle at

11:45AM.

Can you please

rebook me for the

same flight tomorrow?

GreatThank you!Data

DipCRM content

Hi Nikki Wolf,I see your flight was

cancelled today. How can

I help you?

Incomingcustomer call

NATURAL

Amazon Lex (in preview)

the same technology that

powers Alexa

DYNAMIC

Answer customer

questions before they

are even asked

PERSONAL

Contact flows adapt on

a per customer basis

Coming up for you!


https://aws.amazon.com/de/events/transformation-day-munich/

Thank [email protected]


Documents

Energy & Utilities Industry Web Day