With unemployment application submissions reaching record numbers over the past year, state and local agencies in the United States have faced the challenge of processing unprecedented numbers of claims per week. The digital infrastructure most agencies have in place is unable to handle this volume, resulting in constituents waiting longer, and bad actors taking advantage of vulnerable systems. The Department of Labor Inspector General estimates that $63 billion in claims distributed is either an improper payment or fraud. 

Validating claims also requires secure data sharing with other agencies for document and identity verification. Government leaders need a way to allow case adjudicators to quickly and confidently release backlogged claims, integrate with existing systems, and segment legitimate claims from potentially fraudulent ones — all within limited government budgets — securely and at scale.

Implementing a fraud detection solution on Google Cloud

States were under pressure to release payments, while also filtering out potentially fraudulent claims. SpringML and Google Cloud developed a framework to give adjudicators a reliable verification process that quickly filters potentially fraudulent claims, while processing the remaining claims so benefits reach citizens in a timely manner. SpringML and Google Cloud, applied AI-powered machine learning models to detect anomalous patterns in large datasets. Using Google Cloud tools, SpringML implemented a solution to streamline workflows, improve efficiencies, automate processes and identify potentially fraudulent claims.

SpringML used a variety of Google Cloud products to deliver a fraud detection solution, including:

• Google Cloud Storage to store and manage data
• BigQuery to store tabular data and BigQuery Machine Learning (BQML) to conduct machine learning on that data
• AutoML solutions to build predictive models and risk scoring
• Visualization tools such as Looker and Data Studio to present data and help government leaders make informed decisions.

Implementing machine learning to detect improper payments allows agencies to classify claims as “fraud” or “not fraud” based on the number of flags, as well as prioritize the most urgent claims. Deploying intelligent virtual agents to handle frequently asked questions meant that live agents could focus their time on more challenging cases. 

Even once the pandemic is behind us, there will be bad actors trying to take advantage of overwhelmed or legacy systems. We’ve identified a few best practices for agencies managing enormous case loads and looking to improve improper payment analytics: 

• Move your systems to the cloud. Many on-premises legacy systems can’t update their applications and scale to meet the volume of claims. Moving to a cloud environment enables rapid solution deployment and ingestion of large amounts of data without fear of overloading the system. The cloud scales with you–cost-effectively and securely. 
• Understand patterns in the data. The answer is always in the data — we used deep analysis to help uncover suspicious patterns in large data sets. We implemented unsupervised machine learning to learn behaviors and create configurable rules that adjust to new information that comes into the system. We can uncover patterns that are likely associated with fraud – ones that a human might have missed. 
• Use AI/ML tools to automate your existing systems and teams. These tools enable humans to work smarter and more efficiently. We automate anomaly detection and create dashboards for adjudicators to rapidly process claims. We are enabling the Wisconsin Department of Workforce Development by implementing automatic calculations and processing of recharge amounts, resulting in faster processing times and fewer human errors. Proactive fraud detection and timely calculation of recharge payment allowed DWD to ensure the benefits reached the right individuals.
• Build flexibility into your systems. We discovered that fraud patterns change over time. For instance,flags for fraud during March-May 2020 were vastly different from those we found in June-July 2020. Google Cloud tools make it easy to continually update algorithms to detect patterns and integrate external data sources.

Using Google Cloud tools, we can update digital infrastructure and incorporate machine learning best practices to help organizations efficiently process large volumes of claims and identify high probability fraudulent ones. SpringML provides consulting and implementation services and industry-specific analytics solutions that deliver high-impact business value to accelerate data-driven digital transformation. Learn more about fraud detection and how to improve improper payments analytics by watching our webinar. 

For over a decade, we’ve been investing in Canada to become a go-to cloud partner for organizations across the country. Whether they’re in financial services, media and entertainment, retail, telecommunications or the public sector, a rapidly growing number of organizations located or operating in Canada are choosing Google Cloud to help them build applications better and faster, store data, and deliver awesome experiences to their users, all on the cleanest cloud in the industry. To support this growing customer base, we’re excited to announce that the new Google Cloud region in Toronto is now open. 

As you’d expect, we’re thrilled about this news, but we aren’t the only ones that have been looking forward to this launch. We asked some of our customers operating in Canada for their take on the upcoming cloud region. Here’s what they had to say:

“Our alliance with Google is truly distinctive in the Canadian market as we are working together to co-innovate and create new services for key industries, including communications technology, healthcare, agriculture, security, and the connected home. The new cloud region in Toronto marks another key milestone that will propel TELUS’ digital leadership by further leveraging the scalability, reliability and cost effectiveness of Google Cloud to support improved customer experience and build stronger, healthier and more sustainable communities.”—Hesham Fahmy, Chief Development Officer, TELUS 

“We’re simplifying, modernizing and digitizing Scotiabank to enhance the customer experience for our 25 million customers across the globe. By leveraging powerful cloud-based services including Google Cloud, we’re able to put the most advanced software engineering, data analytics and machine learning tools in the hands of our talented employees. We welcome Google Cloud’s investment in Toronto and look forward to the opportunities the Toronto Cloud Region will present to our Technology team.”
—Michael Zerbs, Group Head Technology & Operations, Scotiabank 

“Cloud technologies—and the access to scalable compute, rich geospatial datasets and smart analytics tools—will be critical  contributors to support climate action and sustainable policy decisions. At Natural Resources Canada, scientists and researchers are applying innovative digital solutions to support Canada’s natural resource sector. The new Google Cloud region in Toronto will provide our scientists, technologists and researchers with the products and services necessary to turn Earth data into actionable insights.”
—Vik Pant, PhD, Chief Scientist and Chief Science Advisor, Natural Resources Canada 

“At Accenture, we bring together technology and human ingenuity to create and respond to change. We’re thrilled to join forces with Google Cloud and their newest region in Toronto with an important mutual goal: to accelerate cloud innovation in Canada. Our clients already know us for our deep industry intelligence, cloud-first expertise and market-renowned delivery. We’re now combining that with Google’s human-centric design to bring even more opportunities to our clients across all industries.”
—Jeffrey Russell, President of Accenture in Canada. 

“We are thrilled to see Google’s commitment to Canada. We look forward to helping our joint customers transform their operations, leveraging Google Cloud’s latest data center in Toronto. At Deloitte, we believe cloud is THE opportunity to reimagine everything.”
—Terry Stuart, Deloitte Chief Digital Officer, Canada. 

“As Canadian organizations increasingly leverage cloud to transform their businesses, we are excited about the new opportunities that the Toronto Google Cloud region brings to the market. We look forward to continuing our strong partnership with Google Cloud to bring customized and innovative solutions that help Canadian companies fully realize the value of cloud technology, so that they can compete and win on the global stage.”
—Andrew Caprara, Chief Operating Officer, Softchoice 

Toronto joins 27 existing Google Cloud regions connected via our high-performance network, helping customers better serve their users and customers throughout the globe. In combination with our Montreal region, customers now benefit from improved business continuity planning with distributed, secure infrastructure needed to meet IT and business requirements for disaster recovery, while maintaining data sovereignty.

The new region launches with three zones, allowing organizations of all sizes and industries to distribute apps and storage to protect against service disruptions, and with our core portfolio of Google Cloud Platform products, including Compute Engine, App Engine, Google Kubernetes Engine, Bigtable, Spanner, and BigQuery.

We’re working to bring you new cloud products and capabilities in Canada, and our goal is to allow you to access those services quickly and easily—wherever you might be in the country. The past year has proved how important easy access to digital infrastructure, technical education, training and support are to helping businesses respond to the pandemic. We’re particularly proud of the teams who faced the unique challenges of building a cloud region during this time to help our customers and community accelerate their digital transformation.  

To support all of our users, customers and government organizations in Canada, we’ll continue to invest in new infrastructure, engineering support and solutions. We’re currently hosting our first ever Google Cloud Accelerator Canada to bring the best of Google’s programs, products, people and technology to startups doing interesting work in the cloud. We’ve recently received Protected B accreditation with Canadian Centre for Cyber Security, which is crucial for healthcare, education, and regulated industries adopting cloud services. We’re also pleased to announce the preview of Assured Workloads for Canada—a capability which allows you to secure and configure sensitive workloads in accordance with your specific regulatory or policy requirements. 

For help migrating to Google Cloud, please contact our local partners. For additional details on Google Cloud regions, please visit our locations page, where you’ll find updates on the availability of additional services and regions. You can always contact us to help you get started or access our many educational resources. We’re excited to see what you build next with Google Cloud.

The digital media and entertainment industry is experiencing dramatic growth, as audiences migrate to online experiences and content providers seek to deliver new and innovative content. According to The Global Internet Phenomena Report, streaming video accounted for 53.7% of internet bandwidth traffic, up by 4.8% from a year ago. This rapid growth of over-the-top content is straining existing infrastructure, fueling media companies’ shift to the public clouds with their global presence and greater distribution capacities. In addition, other use cases such as gaming, social networks, AR/VR experiences, and education continue to fuel the need for intelligent media services and operations.

Today, at the 2022 NAB Show Streaming Summit, we’re excited to announce the general availability of Media CDN — a modern, extensible platform for delivering immersive experiences with unparalleled scale and intelligence. Media CDN will enable media and entertainment customers to efficiently and intelligently deliver streaming experiences to viewers anywhere in the world. The same infrastructure that Google has built over the last decade to serve YouTube content to over 2 billion users is now being leveraged to deliver media at scale to Google Cloud customers with Media CDN.

Unparalleled planet-scale reach and scale

Media CDN’s foundational advantage is the Google network. We have invested decades of resources to build tremendous capacity and reach in over 200 countries and more than 1,300 cities around the globe. Modern video applications are sensitive to fluctuations in latency, so getting content closer to users enables higher bitrates and reduces rebuffers, resulting in a superior experience for the end user. Media CDN builds on the success of the existing Cloud CDN portfolio for web and API acceleration and complements it by enabling delivery of immersive media experiences.

In addition to running on planet-scale infrastructure, Media CDN tailors delivery protocols to individual users and network conditions. Media CDN includes out-of-the-box support for QUIC (HTTP/3), TLS 1.3, and BBR, optimizing for last-mile delivery . When the Chrome team rolled out widespread support for QUIC, video rebuffer time decreased by more than 9% and mobile throughput increased by over 7%.

Media CDN also achieves industry-leading offload rates. With multiple tiers of caching, we minimize calls to origin — even for infrequently accessed content. This alleviates performance or capacity stress in the content origin and saves costs. These features are built into the product and seamlessly support customer content hosted on Google Cloud, on-premises, or on a third-party cloud.

“We are excited to leverage Media CDN to continue to deliver an exceptional streaming experience for Stan users across Australia. With Google’s massive network, and a deep reach into the ISPs, we are able to deliver the highest quality video for our users, no matter where they are”—John Hogan, Chief Technology Officer, Stan

“Our mission at U-NEXT is to deliver the highest quality and most entertaining content to our users. Google Cloud’s Media CDN helps us efficiently scale our infrastructure, which is challenging with a vast library of content. Media CDN offloaded 98.3% of requests from our origin server while delivering consistent great quality.”—Rutong Li, Chief Technology Officer, U-NEXT

Broader platform for monetization and immersive experiences

While global distribution is critical for a high-quality end-user experience, it’s only one piece of delivering a world-class platform for immersive experiences. Media CDN offers additional capabilities to enable this transformation — ad insertion, ecosystem integrations and platform extensibility, and powerful AI/ML analytics for interactive experiences.

Streaming providers can improve monetization through integrated ad serving via the Video Stitcher API, which allows manipulation of video content to dynamically insert ads.

Through extensible ecosystem integrations, Media CDN connects customers to key capabilities to simplify their operations. For example, the Transcoder API supports custom streaming formats, while the Live Stream API transcodes mezzanine live signals into direct-to-consumer streaming formats, for multiple device platforms.

Media CDN is built with AI/ML that will give viewers more control over how they see, experience, and even interact with content. For example, sports fans watching a game can obtain real-time stats and analytics, viewers can purchase items from virtual billboards, etc.

Cloud-native and developer-friendly operations

Media companies are under pressure to develop and deploy innovative experiences at a furious pace. Media CDN was built by developers, for developers, with automation and observability built in, giving media providers the speed and flexibility they need to integrate delivery provisioning and management into their content release processes.

Media CDN offers comprehensive APIs and automation tools such as Terraform. Detailed, pre-aggregated metrics and playback tracing make it easy to diagnose performance across the entire infrastructure stack. Real-time visibility is provided via Google Cloud’s operations suite, and integrates with tools that developers already use such as Grafana and ElasticSearch.

“Leveraging the same infrastructure as YouTube, Google Cloud’s Media CDN combines geographic reach, API-first architecture and integration with the Cloud operations suite. This is a transformative move that is aligned with the future of the CDN industry.”— Ghassan Abdo, Research Vice President, WW Telecom, Virtualization and CDN, IDC

“Viewers around the world are demanding best-in-class video quality and performance across modes of consumption. A video-first delivery network can be a game changer in this space. We’re excited to partner with Google Cloud and to leverage Media CDN to enable premium video experiences and customer engagements.”—Juan Martin, Founder and CTO, Firstlight Media

Planet-scale advanced security

Media CDN lets streaming media providers take advantage of Google’s decades-long experience delivering video safely, securely, and reliably. The platform includes deep integration with Google Cloud Armor for planet-scale DDoS protection and a rich set of capabilities to detect and mitigate attacks, prevent abuse, manage risk, and comply with regulatory or licensing requirements.

If you want to deliver rich, immersive experiences to global audiences with an extensible, modern delivery platform, we’d love to hear from you. For more information, including technical specifications and platform architecture, please visit cloud.google.com/media-cdn. To get started with Media CDN, contact your sales team.