Data & app protection: Driving down the cost of care

Cloud Storage scales capacity on-the-fly and accommodates spikes in resource demands, Pipelines API in Google Genomics queues incoming data, and Compute Engine enables processing and analysis of this data.

Analyzes genomes 400% faster

Protects genomic data by governing privacy, data access, and use

Scales to meet spikes in 

demand for processing and storage

"As the genome data that we study to potentially save lives grows at massive scale—our institute alone generating roughly 12 terabytes of data daily—human genomics is becoming increasingly reliant on the technology tools we use for computation and storage. Google Cloud allows us to conduct transformative research more rapidly and securely."

Bill Mayo, CIO, Broad Institute

Migration: Driving down the cost of care

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Cardinal Health migrated existing systems to GCP to enhance security and data protection and leverage speed and cost savings as well as the flexibility and agility that enables business-enhancing risk taking.

Allows teams to tap exceptional engineering and technical support

Gains technical speed and capabilities that far exceed expectations

Plans to transform many aspects of the business with AI 

"Google Cloud has been exemplary in the "how can we help you" approach and with understanding what we want to do and how to make what we want happen."

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Jon Latshaw, VP, Cloud Services, Cardinal Health

Migration: Extracting insights from massive datasets

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GCP provides a managed cloud environment that accelerates time to market for services, improves security, governance, and regulatory posture and reduces the complexity and costs of big data analytics while empowering the company's data analysts and scientists.

Identifies and averts financial crime using machine learning models

Enhances global risk management with a better understanding of trading positions and risks

Responds faster to customer demands & improves customer service

"Migrating our workloads to GCP has resulted in both technical and financial returns and has helped us spur innovation within our large globally dispersed institution."

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Darryl West, Group C10, HSBC

Data analytics: Uncovering the network effects of key events

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Dow Jones and Quantiphi use Cloud Bigtable for storing a huge body

of content and BigQuery for fast data manipulations along with other GCP tools to support a Knowledge Graph that analyzes key events in over 30 years of news.

Unlocking value in 1.3 billion news articles

Synthesized 30+ years of unstructured data to assess qualitative business impact of events

Defined complex network efforts to uncover hidden relationships and insights 

"Google Cloud Platform is hugely complementary to our DNA service because it really brings our datasets to life."

Niranjan Thomas, General Manager, Platform & Technology Partnerships, Dow Jones

Data analytics: Real-time insights improve experience & conversion rates

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Uses Cloud Dataproc for on-demand Hadoop engine clickstream processing and BigQuery to support real-time decision making for customers and 500+ merchants. Cloud Storage, Cloud SQL and Kubernetes Engine speed business problem solving and Cloud Bigtable integrates with Dataproc for low-latency data store

Increases sales revenue significantly using real-time clickstream analysis

Improves customer experience with notifications of inventory availability & targeted suggestions

Accelerates data-

driven innovation rapidly and scales from 50M daily events to 5B in

two years

"By collecting more data, and empowering our team with the information, we're innovating faster and making smarter decisions. Using real-time analytics on GCP enabled us to drive a significant increase in sales conversion in just a few weeks. Without Google Cloud Platform, we would never have been able to scale clickstream data collection 100-fold."

Bindu Thota, Director of Product Management, zulily

Migration: Improving online sales

Rather than expand on-premises data centers, Loblaw took a lift-and-shift approach to accelerate migration to GCP, moving existing VMs to Compute Engine instances and creating custom machine types. Google Professional Services helped with planning.

Reclaims up to 50% of SRE time for innovation

Migrates full global e-commerce site in 22 days; achieves 4x improvements in 

performance

Higher conversion rates & increased revenue for online grocery site

"We thought, 'why don't we offload all that effort to someone who's doing it at scale, making the appropriate investments, and staying ahead in technology'."

 
Hesham Fahmy, Vice President, Loblaw 

Data analytics: Winning cloud-based data warehouse

BigQuery forms the core of a new data warehouse, Cloud Storage holds its massive archive more securely in the cloud, Deployment Manager deploys Kubemetes Engine workloads to create virtual players trained with Cloud Machine Learning models, and Cloud Pub/Sub exchanges data with data analytics modules.

​Ingests, stores, and analyzes data from hundreds of millions of players 

Solves game design challenges with Google Cloud Machine Learning 

Reduces infrastructure management overhead & improves agility by speeding up data analysis 

"Our infrastructure needs to support hundreds of thousands of concurrent connections per second, as well as our data warehouse, and we saw that Google has the capability to handle our needs.At the same time, we were very excited by Google Cloud's focus on machine learning and artificial intelligence"

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Jacques Erasmus, CIO, King

Data analytics: Sky's the limit with a scalable data warehouse

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Cloud Pub/Sub ingests diagnostic data and eliminates data loss caused by bottlenecks in server capacity, Cloud Dataflow passes parsed data to Cloud Storage, BigQuery creates a data warehouse, Stackdriver Monitoring triggers email and Slack alerts if issues occur, and Cloud loT Core expands its current data pipeline/architecture.

Replaces

out-of-capacity on-premises platform in only 6 weeks

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Zero diagnostic data loss from millions of Sky Q boxes

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Sky experience with a diagnostic data hub

"By collecting diagnostic data, we can create an essential feedback loop from inside the home.The data will sit right at the heart of Sky's future strategy. It will help ensure that our products are intuitive and easy to use and that we can keep seamlessly connecting customers with the content and services, they know and love Sky."

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Oliver Tweedie, Director of Data Engineering, Sky

City of Los Angeles: Using Google Cloud to inform and empower citizens

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Google Cloud helps the city visually share the latest need-to-know public safety and community services information in times of natural disaster: evacuation shelters, sandbag stations, local hardware stores and real-time weather.

Received 3.5 million views in 36 hours in Google Maps Platform during time of emergency

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Develops and posts informational Google Maps within one hour

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Focuses on developing tools and features rather than having to manage security

"For an organization of our size, the ease of use of Google tools is opening up tremendous opportunities. We can try new things and rapidly deliver information or new digital services in a matter of hours."

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Ted Ross, General Manager and CIO, City of Los Angeles Information Technology Agency

NIA: Accelerating the fight against Parkinson's Disease 

By accessing Google Cloud Platform through Google Genomics, researchers at the National Institute on Aging can more securely store, process, explore and share large biological datasets. 

Uses Broad Institute's GATK on Google Genomics for exome data processing 

Processes nearly 200 TB of data for 6,500 exomes in just 3.5 weeks, compared to month

"Cloud computing allowed us to speed up discovery. We collaborated with Google Genomics to test varying implementations of the standard processing pipeline for exome sequence data on the cohort and population scale. The cloud was really our only option for this."

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Mike Nails, PhD, Scientist, National Institutes on Aging

Data analytics: Flying high with Google Cloud

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Powered by BigQuery for analysis at scale, Machine Learning Engine to predict customer demand, and G Suite for collaboration, AirAsia has improved processes while storing and analyzing volumes of data to enhance services and revenue.

Modernizes systems, processes, and culture to focus on costs while improving customer service

Uses analysis, reporting, and insights to resolve problems

and create

opportunities

Increases business agility by deploying faster and more frequently

"With a minimal number of people involved, we can very quickly transform an idea or thought process into a deliverable. Prior to Google Cloud Platform, bringing those ideas to fruition would have been impossible."

Nikunj Shanti, Chief Data and Digital Officer, AirAsia

Machine Learning: Charting new territory

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Cloud Storage keeps petabytes of data and imagery accessible in the cloud, Tensorflow trains deep learning algorithms to recognize cloud cover, Google Kubernetes Engine scales compute power up and down on demand.

Decreases error rate for detecting clouds from 11% to 3%

Reduces time to access satellite imagery from hours to less than half a second

Enables large-scale detecting clouds processing, and analytic a services with no limits on size or users

"Google Cloud Platform gives us access to much more compute power than we had in the past, so we can do so much more than we used to. Before, we worked on projects. Now, the whole world is our playground."

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Laurent Gabet, Optical R&D Manager, Airbus

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