with James & Robert

Pega Deployment

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● Pega Deployment ○ 15 min - James

● GCP○ 15 min - Robert

● Q&A ○ 15 min

Agenda

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AGENDA

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• Our Deploy World• Why:Build vs Buy • How we Utilized Pega• So What Did We Get?• How We Leveraged GCP

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DEPLOY

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SO WHY PEGA?

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Majority of your day?

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MEETINGSEMAILS

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OPPORTUNITY COST

TIMING+

KPIs and Objectives

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90% CSAT scores, 25% engagement

100% new manual requests entered through

go/caveman integration

First, the team went through an exercise to discover and describe their targeted goals and identify KPIs to track and quantify POC progress against existing business processes

Less “Tribal” Knowledgeregarding any rules and

restrictions of who, when, where, and how to dispatch

Single Engagementin acting as a one stop-shop

for all customer engagements

Reduced Touchpointsbetween requesters, systems,

dispatchers, and resources

Faster Cycle Timein analyzing tickets to engage

resources and assign work

Timely Deliveryon managing both

internal and external factors to meet team SLOs

90% of deliveries within SLO Targets, reduced

controllable re-dispatches

100% of ticket assignments within 10min

Decreased # Touchpoints and 95% data accuracy

80% Accuracy of Tech Selection Decision

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BUILD FOR THE USER

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Robert Kapanen Google Cloud Platform Overview

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To reduce infrastructure costs, improve reliability and scale smoothly

To gain more value from data and predict business outcomes

To connect to business platforms of services and partners

To more rapidly build new apps and experiences

To make teams productive with secure mobile / devices

Why are businesses moving to Google Cloud Platform?

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Second Wave VirtualizationStorage, processing, memory, network

Third Wave Google CloudFully managed, serverless / DevOps

First Wave Physical/Co-locationStorage, processing, memory, network

The future of computing is flexibility A different kind of cloud

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Security, networking, and infrastructure

Unlock data, and accelerate development

Open, enterprise-friendly

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Fundamental principles

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World’s largestsoftware defined network

100+ peering locations

Seamless autoscale

1,000,000+queries per second.No pre-warming.

Global load balancing with

single IPGlobalcontent delivery network

Edge locations in virtually

Every country

Global network

Lift and improve

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Automatic app-specific sizing recommendations

Resize disks on the fly = easier operations

High throughput storage at no extra cost

Live migration = no planned downtime

Sustained use discounts = no upfront payments

Custom machine types = no over-provisioning

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80+ Petabytes 2.1 Petabytes 10.5 Trillion 4.5 Million rows/secLargest query (data size)Largest storage customer Peak ingestion rateLargest query (rows)

BigQuery-scale performance

Big data solutions

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Real-time streaming analytics

Pub/Sub Dataflow BigQuery

Data warehousein the cloud

BigQuery

Managed Hadoop/Spark

Dataproc

Horizontally scalable SQL

Spanner

Interactive data exploration

Datalab

Collaborative data visualization

Data Studio

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• Risk analytics and regulation• Fraud detection• Credit worthiness evaluation• Customer segmentation• Cross-selling and up-selling• Sales and marketing campaign

management

Financial Services

• Aircraft scheduling• Dynamic pricing• Social media – consumer feedback

and interaction analysis• Customer complaint resolution• Traffic patterns and congestion

management

Travel and Hospitality

• Predictive inventory planning• Recommendation engines• Upsell and cross-channel marketing• Market segmentation and targeting• Customer ROI and lifetime value

Retail

• Alerts and diagnostics from real-time patient data

• Disease identification and risk stratification• Patient triage optimization• Proactive health management• Healthcare provider sentiment analysis

Healthcare and Life Sciences

• Predictive maintenance or condition monitoring

• Warranty reserve estimation• Propensity to buy• Demand forecasting• Process optimization• Telematics

Manufacturing

• Power usage analytics• Seismic data processing• Carbon emissions and trading• Customer-specific pricing• Smart grid management• Energy demand and supply optimization

Energy, Feedstock and Utilities

Machine learning use cases

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● Reach a Broader Audience, and work with Global Subsidiaries, with Translation API

● Transcribe Customer calls to Text in real time, bypassing clumsy navigation tools and understanding sentiment, using the Speech API

● Natural, Rich Interactions, providing a Virtual Assistant, using Dialog Flow

BPM case studies & customers

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cloud.google.com/translate/

cloud.google.com/vision/ cloud.google.com/speech/

cloud.google.com/natural-language/

Try them yourself in your browser!

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Customer Business Impact Logo SlidesSelect Industry Name and Click to Go to Each Section

RetailMedia &

EntertainmentFinancial Services

Healthcare & Life Sciences Gaming Technology

Other Industries

Automatically

Categorizescontent in real time across

30+ media properties

Increasedspeed and accuracy of content

classification, reducing manual labor

Enablespersonalized user experiences via integration with customer

data platform

Uses the same machine learning behind Google search to classify content

Products UsedGoogle Cloud Natural Language API, Google BigQuery, Google BigQuery Data Transfer Service, Google Analytics, DoubleClick for Publishers

“Google Cloud Platform opens up a new world for us to get more value from content data.”Naveed Ahmad, Senior Director of Data, Hearst Newspapers

SolutionMachine learning and natural language processing automatically classifies content, reducing manual labor and delivering real-time insights into content performance, helping drive revenue.

Industry: Media & Entertainment – Region: North America

Provides greater

Visibilityinto content performance to

drive ad revenue

18languages in real-time translation for writers

Over

500VICE editors publish hundreds of articles

Reducebarriers in story-telling

worldwide

Neural Network-powered translations in Google Translate produce a rich array of

stories

Products UsedGoogle Translate

“In essence, we’ve made every VICE editor octo-lingual –and unlocked the full breadth of VICE storytelling to every VICE editor everywhere.”Drake Martinet, Chief Product Officer, VICE Media

Extendcapabilities of editors globally

SolutionGoogle Translate enables real-time translation in 18 languages for over 500 publishers, mitigating cultural barriers by allowing greater access to content produced around the world. .

Industry: Media & Entertainment – Region: North America

Evolving operations for mission critical websites

Products UsedGoogle Compute Engine, Google Kubernetes Engine, Google BigQuery, Google Cloud Bigtable, Google Cloud Pub/Sub, Google Cloud SQL, GmailGoogle Calendar, Google Docs, Google Drive, Google Hangouts Meet, Google Sheets, Google Analytics

Industry: Technology – Region: North America

“Google Cloud Platform is more data-oriented than other cloud providers, making it a better match for our needs and our customers’ strategic initiatives.”Niall Hayes , COO, Pantheon

Doubledexpected cost savings

SolutionPantheon moved to Google Cloud Platform, improving performance and reliability while supporting a 99.95% uptime SLA and reducing cloud infrastructure costs 40%.

Migrated

200K+websites to GCP

in 2 weeks

Sites run

45%faster than industry

benchmarks

Increases container density by

60%

High-performance

Big Data analytics for complex seismic

and wellbore logs

Supports rapid

Prototypes by connecting many devices of MQTT and achieving real-time

monitoring

Capturing and analyzing massive volumes of petrotechnical data

Products UsedGoogle BigQuery, Cloud Spanner, Cloud Datastore, Apigee, Cloud Machine Learning Engine, Container Builder

"As part of our IoT integration strategy, Google Cloud IoT Core has helped us focus our engineering efforts on building oil and gas applications by leveraging existing IoT services to enable fast, reliable, and economical deployment. Chetan Desai, VP Digital Technology, Schlumberger Limited

10 PBof Google Cloud storage on NVIDIA GPUs and Custom

Machine Types

SolutionBig data analytics and predictive ML-based models help Schlumberger create an energy and production data lake with over 30TB of petrochemical data .

Industry: Manufacturing – Region: North America

Deployed 30 Petaflops and

10 TBcompute capacity for geophysical

data processing platform

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$30.9 Billioninvestment

Highest levelsecurity & ops

Accessto innovation

Better value+50% less expensive

Commitmentto open standards

Your cloud partner matters

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Thank you

Q&Awith James & Robert