WIN BIG WITH GOOGLE CLOUD · HYPER PERSONALIZATION AND AD TARGETING BigQuery Pub/Sub Dataflow...

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WIN BIG WITH GOOGLE CLOUD

Transcript of WIN BIG WITH GOOGLE CLOUD · HYPER PERSONALIZATION AND AD TARGETING BigQuery Pub/Sub Dataflow...

Page 1: WIN BIG WITH GOOGLE CLOUD · HYPER PERSONALIZATION AND AD TARGETING BigQuery Pub/Sub Dataflow CloudML. 3 ... Analyze IOT streaming data to predict machine failure and enable predictive

WIN BIG WITH GOOGLECLOUD

Page 2: WIN BIG WITH GOOGLE CLOUD · HYPER PERSONALIZATION AND AD TARGETING BigQuery Pub/Sub Dataflow CloudML. 3 ... Analyze IOT streaming data to predict machine failure and enable predictive

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USECASEPredict ad to be displayed based on users’ past behavior, demographics and seasonality

CUSTOMER PAIN• Lost revenue due to customers abandoning shopping

carts• Unable to rapidly introduce new ads or coupons based

on current promotions• Rigid infrastructure which makes it difficult to change

and deploy enhancements to existing algorithms

BUSINESS BENEFITS • Drive sales through better audience engagement• Improve customer satisfaction through personalized ads

and coupons• Provide consistent user experience across various

channels - website, mobile, email etc

INDUSTRIESRetail, CPG, big box retailers

BUYERSCMO

BUYING TRIGGERS• New product launch• Revenue goals - insights to cross sell and up sell

GOOGLE CLOUD PRODUCTS

HYPER PERSONALIZATION AND AD TARGETING

BigQuery

Pub/Sub

Dataflow

CloudML

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USECASEIdentify outliers in credit card transactions and predict fraudulent ones

CUSTOMER PAIN• Unable to identify and stop fraudulent credit card

transactions in real time• Fraudulent transactions lead to a variety of negative

outcomes including loss of revenue, loss of customer confidence and decreased customer satisfaction

BUSINESS BENEFITS • Proactively deny fraudulent transactions and mitigate

risk• Improved customer satisfaction through real time

notifications

INDUSTRIESFinancial services

BUYERS• Money laundering and risk mitigation departments• Payment processing, Real-time payment transaction• Finance Team

BUYING TRIGGERS• New data compliance and regulations• Targeting new customer base

GOOGLE CLOUD PRODUCTS

FRAUD AND ANOMALY DETECTION

BigQuery

Pub/Sub

Dataflow

CloudML

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USECASEAnalyze IOT streaming data to predict machine failure and enable predictive maintenance

CUSTOMER PAIN• Loss of business and customer satisfaction issues when

deadlines are not met due to equipment failure• Cost of maintenance that can be prevented• Support for IOT sensor/MQTT integration to support

extremely large datasets

BUSINESS BENEFITS • Reduced costs from equipment failure• Improved end customer satisfaction by meeting

customer expectations and deadlines• Real-time data processing and prediction at scale

INDUSTRIESManufacturing, Distributors, 3rd party logistics

BUYERS• Customer Service department• Fleet Maintenance

BUYING TRIGGERS• Customer satisfaction - Improve NPS• Upgrade from legacy technology of preventive

maintenance

GOOGLE CLOUD PRODUCTS

FLEET PREVENTIVE MAINTENANCE

BigQuery

Pub/Sub

Dataflow

CloudML

Cloud IOT

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USECASEAnalyze video content and enrich it with keywords, face recognition, related videos, etc

CUSTOMER PAINUsers today expect an experience that’s on par with the best video content providers online. They expect to search for content easily, find related videos or find more information on a video they are watching. Not providing such an experience will lead to lost subscribers.

BUSINESS BENEFITS • Provide better user experience that’s on par with today’s

expectations around search and insights• Ability to monetize video content by providing contextual

insights for a viewer• Reduce costs by automating creation of a highlights reel -

something that an editor would have to do manually

INDUSTRIESMedia publishers, Broadcasters, Video content providers

BUYERS• Marketing department • Content team

BUYING TRIGGERS• Customer satisfaction - improve user engagement• Monetize video content

GOOGLE CLOUD PRODUCTS

VIDEO INTELLIGENCE

Dataflow

CloudML

Video Intelligence API

Speech API

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USECASEReal time inventory in warehouse given demand from POS or e-commerce

CUSTOMER PAIN• Product shortfall leads to lost sales and reduced

customer satisfaction • High inventory in retail stores consumes valuable shelf

space and incurs costs• Rigid infrastructure makes it difficult to change and

deploy enhancements to existing algorithms

BUSINESS BENEFITS • Get 360 degree view into inventory and orders• Improve customer satisfaction by suggesting in real time

when and where a particular product is available.• Provide consistent user experience across various

channels - website, mobile, email etc.

INDUSTRIESRetailers

BUYERS• E-commerce teams• Vendor/Supplier management teams

BUYING TRIGGERS• Improve inventory forecasting• Auto replenishment and changes to vendor managed

inventory

GOOGLE CLOUD PRODUCTS

REAL TIME RETAIL ANALYTICS

BigQuery

Pub/Sub

Dataflow

CloudML

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USECASEFaster and better customer service via automated responses with live agent intervention as necessary

CUSTOMER PAIN• Support personnel spending time to understand and

triage new support requests is time consuming and incurs costs

• Customers no longer are happy getting a canned auto response, they want quick resolution to their requests. The longer it takes to resolve support cases the lower the customer satisfaction.

• Support for global audience

BUSINESS BENEFITS • Rapid and accurate triage of customer support cases

leads to better customer satisfaction• Reduced time and costs in resolving support cases• Allows support personnel to spend time on complex cases

INDUSTRIESHigh case volume industries e.g Financial Services and Insurance Companies

BUYERSCustomer Service department

BUYING TRIGGERS• Improve NPS and customer satisfaction• Increase customer support efficiency

GOOGLE CLOUD PRODUCTS

INTELLIGENT CASE ROUTING

BigQuery

Dialogflow

AppEngine

CloudML

Translate API

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USECASEMedical image classification with improved accuracy and use of public cloud platform. e.g Image profiling.

CUSTOMER PAIN• Legacy technology with client-server based tools• Installation and maintenance to support various OS• Long turnaround time to support new machine learning

models

BUSINESS BENEFITS • Single platform for storage, analysis, machine learning

and visualization• Easy to add social collaboration and information sharing

features• Google cloud ML provides the scale to train models

constantly and have accuracy rate

INDUSTRIESHealthcare

BUYERS• Bioinformatics team• Technology development team

BUYING TRIGGERS• Migration to cloud initiatives• Support for new ML and data performance

GOOGLE CLOUD PRODUCTS

MEDICAL IMAGE CLASSIFICATION

BigQuery

Vision API

CloudML

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USECASEMigrate data from Redshift to Bigquery, includes schema conversion and comparing cost and query performance

CUSTOMER PAIN• Infrastructure and storage costs and maintenance• Limited support for features such as serverless

architecture, partitions, federated data sources• Complex ETL and integration layer

BUSINESS BENEFITS • Ability to setup a petabyte scale datawarehouse at a

rapid pace and low cost• Architecture and performance of BigQuery allows

simplification of end to end process by avoiding complex ETL and BigData jobs

• Scalable serverless infrastructure

INDUSTRIESApplicable to all domains

BUYERS• IT Directors• Datawarehouse and bigdata teams

BUYING TRIGGERS• Multi-cloud platform deployment• New data analytics initiatives

GOOGLE CLOUD PRODUCTS

DATAWAREHOUSE MIGRATION

BigQuery

Dataflow

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USECASEMigrate Spark projects to Dataproc e.g. job

CUSTOMER PAIN• High cost of DevOps maintenance• ETL performance issues leads to delays in processing• Separate development design for batch and streaming

use cases

BUSINESS BENEFITS • End to end pipeline consolidation to a single scalable

stack• Access to Google ML APIs and integration with SparkML

and TensorFlow models

INDUSTRIESApplicable to all domains.

BUYERS• IT Directors• Datawarehouse and Bigdata teams.

BUYING TRIGGERS• Cost reduction in DevOps• Consolidate to one platform for end to end pipeline.

GOOGLE CLOUD PRODUCTS

HADOOP MIGRATION

Dataproc

Datalab

BigQuery

Pub/Sub

Dataflow

CloudML

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USECASEAutomate information retrieval from documents leading to faster time to action

CUSTOMER PAINBusinesses receive hard copy documents via various channels and extracting data from them manually is time consuming and error prone. These delays can impact business performance or customer satisfaction.

BUSINESS BENEFITS Automate data extraction from documents allowing your team to work on value added tasks. Avoid errors during data extraction to improve business performance and customer satisfaction.

INDUSTRIESAny industry that handles large number of documents e.g legal, insurance, financial

BUYERS• CIO• CFO

BUYING TRIGGERS• Reduced time to process documents• Improve customer satisfaction

GOOGLE CLOUD PRODUCTS

AUTOMATED DOCUMENT EXTRACTION

Vision API

AppEngine

Cloud Storage

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