win big with google cloud · hyper personalization and ad targeting bigquery pub/sub dataflow...
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WIN BIG WITH GOOGLECLOUD
www.SpringML.com 2
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
www.SpringML.com 3
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
www.SpringML.com 4
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
www.SpringML.com 5
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
www.SpringML.com 6
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
www.SpringML.com 7
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
www.SpringML.com 8
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
www.SpringML.com 9
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
www.SpringML.com 10
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
www.SpringML.com 11
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