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Power your business with search and AI in G Suite
More than ever, businesses are dealing with major challenges like increased competition, data and information overload, and processes slowing people down.
To overcome these challenges, businesses need to move faster, harness data and resources and remove friction from getting things done.
We know that countless hours are wasted every day by information workers doing mundane tasks that distract and take time away from the creative knowledge work where they can uniquely add value. In 2019, we commissioned a total economic impact analysis with Forrester Research, and based on a number of interviews with our customers, we have learned that G Suite* is delivering value in four key ways, revenue growth, employee efficiency, risk mitigation, and IT cost savings.
The numbers are all based on a composite customer with 20,000 users generating $3 billion a year in revenue. For highly collaborative employees, the time savings of mundane tasks with G Suite is huge. Almost an extra month’s worth of time every year, with 20% of that time reallocated towards value-added tasks that are important to your business.
In this video, find out how G Suite can help with employee efficiency, saving people time, boosting productivity, and reducing frustration.
(G Suite* is now Google Workspace)

Customer Voices: How Firms from Across Industries Leverage Google Cloud
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From powering everyday operations and accelerating application innovation, to providing tools for specific business needs and executing on big ideas, to advancing the security of technology solutions, companies from across industries have leveraged Google Cloud for business benefits.
Companies from across industries have turned to Google Cloud for transforming their business, modernizing their infrastructure, and gleaning intelligence from data. For instance:
- Johnson & Johnson achieved a 41% increase in search results from high-quality job applicants, significantly improving the company’s ability to quickly hire top talent.
- Sony Network Communications now processes 10 billion monthly queries faster, which advances data analysis.
- University College Dublin saw significant 6-figure savings by eliminating legacy hardware, software, and maintenance.
And there are many such examples. Read the collection of case studies to find out how companies from across industries and geographies leveraged Google Cloud for measurable business benefits and for solving complex problems.
New Google Research Innovators tackle wide range of challenges

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Now in its third year, the Google Cloud Research Innovators program has invited 37 new participants to work with each other and Google experts to accelerate their most promising projects. The program offers select researchers expanded technical and networking support from Google professionals, access to Google’s latest cloud technologies, and additional Google Cloud research credits. By collaborating across fields, sharing resources, and disseminating knowledge, Research Innovators aim to drive new discoveries and solve problems faster.
This year’s cohort includes researchers in a wide range of fields at North American institutions. They meet once a month with mentors and participate in research conferences and special training days. Here are a few of the Research Innovators solving real-world problems with Google Cloud:
- Elisa Chen at the University of Chicago uses Vertex AI Vision to develop a model that recognizes faces in illustrations in order to examine race, age, and gender representations in award-winning children’s books in the U.S.
- Swapneel Mehta at New York University uses Google Cloud’s machine learning and data processing tools to analyze disinformation online.
- Christopher Weber at the University of Arizona uses BigQuery and Data Studio to analyze voter registration data and visualize political behavior.
- Guangming Zheng at the University of Maryland develops algorithms to identify cyanobacteria in freshwater lakes through satellite imagery, which can help assess threats to human health and ecosystems.
Previous Research Innovators have already generated scientific breakthroughs and had broad social impact: Tapio Schneider developed a ClimateMachine to simulate cloud cover, Richard Fernandes designed an app to monitor Canada’s leaf canopy, and Christoph Gorgulla accelerated drug discovery for COVID-19 treatments. Some of these innovators are now mentoring this year’s cohort to further advance the program’s goals and pass along its benefits.
If you’re a researcher interested in exploring the benefits of the cloud for your projects, apply here for access to the Google Cloud research credits program in eligible countries. To engage with the latest challenges and solutions in research and technology, sign up for NEXT, Google’s global exhibition of inspiration, innovation, and education in San Francisco August 29-31.
Google Cloud VMware Engine Achieves HIPAA Compliance

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We are excited to announce that as of April 1, 2021, Google Cloud VMware Engine is covered under the Google Cloud Business Associate Agreement (BAA), meaning it has achieved HIPAA compliance. Healthcare organizations can now migrate and run their HIPAA-compliant VMware workloads in a fully compatible VMware Cloud Verified stack running natively in Google Cloud with Google Cloud VMware Engine, without changes or re-architecture to tools, processes, or applications.
Healthcare organizations increasingly use cloud platforms to personalize patient care, analyze large datasets more effectively, enhance research and development collaboration, and share medical knowledge. Leveraging cloud platforms can also help healthcare organizations increase the privacy and security of information systems, including protected health information (PHI), and, as a result, better comply with applicable laws and regulations while reducing the burden of compliance. For PHI, the Health Insurance Portability and Accountability Act of 1996 (HIPAA) set standards in the United States to protect individually identifiable health information. HIPAA applies to health plans, most healthcare providers, and healthcare clearinghouses that manage PHI electronically, and to persons or entities that perform certain functions on their behalf.
With Google Cloud, organizations can leverage solutions that enable secure, continuous patient care and data-driven clinical and operational decisions with ease, while being empowered with collaboration and productivity tools. Further, Google Cloud Platform supports HIPAA compliance. We offer HIPAA-regulated customers the same products at the same pricing that is available to all customers, unlike many other cloud providers.
For healthcare organizations that leverage VMware on-premises, having a consistent, cloud-integrated platform that provides seamless access to native cloud services unlocks the opportunity to extend, migrate, and modernize healthcare IT infrastructure and applications in a fast, low-risk manner at their own pace. This is especially important for mission-critical healthcare provider workloads, where having a low-risk way to adopt the cloud is important. Google Cloud VMware Engine offers that solution. By achieving coverage under Google Cloud’s BAA, Google Cloud VMware Engine enables healthcare organizations to realize the benefits of cloud computing and stay on track with their HIPAA compliance efforts without additional complexity. This is very relevant in hybrid scenarios, where customers would like to leverage other native cloud services such as analytics and big data processing, without having to enter into multiple BAAs.
Google Cloud VMware Engine offers dedicated, isolated software-defined datacenter environments with fully redundant and dedicated 100 Gbps networking that are suitable for healthcare organizations to run applications storing and processing PHI data. Customers have the ability to encrypt their virtual storage area network (vSAN) using an external key management server. Healthcare customers can run their workloads in a native VMware environment—vSphere, vCenter, vSAN, NSX-T, and HCX—while benefiting from Google Cloud’s highly performant infrastructure to meet the needs of their workloads. Customers can connect their VMware applications to native Google Cloud services such as BigQuery and artificial intelligence (AI) to derive new insights from existing data and quickly make informed decisions.
Protecting against and mitigating the impact of ransomware attacks is top-of-mind for Healthcare organizations. This requires building a cyber resilience program and back-up strategy to prepare for how users can restore core systems or assets affected by a security (in this case, ransomware) incident. This is a critical function for supporting recovery timelines and lessening the impact of a cyber event so organizations can get back to operating their business. Google Cloud VMware Engine in combination with Google Cloud first party solutions such as Actifio Go, or partner solutions such as NetApp CVO can provide an efficient way to recover incremental point-in-time backups along with on-demand provisioning of new compute to recover both data and infrastructure from Ransomware attacks quickly and efficiently.
Healthcare customers can also use Google Cloud VMware Engine as a disaster recovery (DR) target for their on-premises VMware workloads. Healthcare organizations also need a business continuity plan for their mission critical applications. When a disaster occurs, hospitals need their data protected so they can quickly get back to treating patients. It is a HIPAA requirement that healthcare organizations must be able to recover from a natural disaster. Google Cloud VMware Engine offers a like-for-like cost-effective DR target for these customers. The DR environment can be operated without new training using the same tools as their on-premises deployment. Google Cloud VMware Engine is currently available in 12 regions across the globe including three regions in the US, which means our regional and multi-national customers can take advantage of this service for geographic diversification as well.
If you are interested in understanding more and taking advantage of Google Cloud VMware Engine, contact your Google sales team now.
For details, see HIPAA compliance on Google Cloud Platform.
IT Team Figures Out Easiest Way to Build Data Pipelines and Create ML Models

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Building a strong brand in today’s hyper-competitive business environment takes vision. It also requires a flexible, easily managed approach to digital asset management (DAM), so marketing professionals and other stakeholders can easily share, store, track, and manipulate assets to build the brand.
Many of today’s leading companies, including JetBlue, Slack, TripAdvisor, Lyft, and HealthONE, rely on Brandfolder to deliver consistent, organized, and efficient brand experiences. Brandfolder provides an easy-to-use platform that can scale across an entire company with little end-user training, empowering customers to distribute digital assets wherever they are needed. Customers also gain much greater insight into how those assets are used, and how to use them more effectively in marketing campaigns and brand messaging.
“Google Cloud made it easy to build an ML platform to quickly iterate through different brand intelligence use cases and release data-driven product features into the Brandfolder platform.”
—Ajay Rajasekharan, Head of Data Science, Brandfolder
Brandfolder is constantly advancing its development efforts to introduce new data-driven features without complicating the user experience. Big data, artificial intelligence (AI), and machine learning (ML) are key to meeting customers’ unique business needs, and essential for Brandfolder to compete in the fast-moving DAM industry. To enhance these capabilities, Brandfolder sought a public cloud provider that could help it scale its data pipeline cost effectively while providing access to advanced AI technologies.
After graduating from the Techstars startup accelerator program in 2013, Brandfolder tried two other cloud providers before standardizing on Google Cloud Platform (GCP).
“We saw a difference with Google Cloud from the very beginning because the interactions felt like a strategic relationship,” says Jim Hanifen, Head of Product at Brandfolder. “Google gave us startup credits and a lot of face-to-face support, which we hadn’t experienced with other cloud providers. We decided to move our entire infrastructure to Google Cloud Platform.”
Building an ML platform for brand intelligence
After performing an initial lift-and-shift migration of virtual machines (VMs) onto Compute Engine, Brandfolder built an ML platform using GCP managed services to seamlessly deliver its data products. The platform leverages Cloud SQL, Cloud Storage as the data lake, Cloud Dataproc for cloud-native Apache Spark computing clusters, Cloud Composer as the batch job scheduler, Cloud Pub/Sub as the backbone data pipeline, Container Registry to store Docker images, and Google Kubernetes Engine (GKE) as the application orchestrator. Cloud Dataflow brings data into the data lake and into BigQuery for analysis.
“Google Cloud made it easy to build an ML platform to quickly iterate through different brand intelligence use cases and release data-driven product features into the Brandfolder platform,” says Ajay Rajasekharan, Head of Data Science at Brandfolder, who describes the architecture in a detailed blog. “We simply ingest raw application and event data on one end and output an ML service on the other.”
“Moving to Google Cloud Platform allows us to complete more sophisticated data analysis and ML models much faster, and at a much lower cost. We can create brand-specific ML models 12x faster and get them into production quickly to address our customers’ unique business needs.”
—Brett Nekolny, Head of Engineering, Brandfolder
For many general use cases, Brandfolder does not need to build custom ML models, and instead relies on pre-trained API models from GCP. For example, it uses Vision API and Video Intelligence API to auto-tag creative assets on import to enable fast, intuitive searches across images and videos. When more product- and brand-specific modeling is required to address unique customer use cases, Brandfolder builds and trains custom ML models using its GCP pipeline or Cloud AutoML, a suite of products built on Google transfer learning and neural architecture search technology. For example, if a Brandfolder customer makes different types of grills, Brandfolder can use AutoML Vision to train a model to recognize the different grills.
“Moving to Google Cloud Platform allows us to complete more sophisticated data analysis and ML models much faster, and at a much lower cost,” explains Brett Nekolny, Head of Engineering at Brandfolder. “We can create brand-specific ML models 12x faster and get them into production quickly to address our customers’ unique business needs.”
Industry-leading security and performance
Google Cloud’s security model helps Brandfolder give existing and prospective customers peace of mind that their data will be protected. Cloud Identity & Access Management (Cloud IAM) provides enterprise-grade access control, while Cloud Identity-Aware Proxy (Cloud IAP) enables remote users to work more securely without the hassles of a VPN client. GCP also isolates cloud resources into projects, making it easy to assign permissions and keep data and VMs organized and segregated.
“With Google Cloud, everything begins and ends with security, which makes things very easy for us,” says Jim. “If we’re under a security review, we can submit a Google security white paper. If a potential customer has security concerns, we tell them we are hosted on GCP, and those concerns go away.”
To give customers even better application performance for accessing their brand assets, Brandfolder uses Cloud Memorystore, an in-memory data store service for Redis, to cache data and provide sub-millisecond data access for production applications.
“It was much easier for us to use Cloud Memorystore versus running Redis on our compute instances,” says Brett. “The high availability, replication across zones, and automatic failover with no data loss are big for us.”
Global private network interconnects between Google Cloud and the Fastly content delivery network (CDN) dramatically reduce latency, allowing Brandfolder’s customers to deliver and update even very large creative assets quickly around the world.
“What’s beautiful about the relationship between Google and Fastly is that if one of our customers uploads a new version of an asset, we can propagate that out to Fastly, and the new version will automatically show up in all the places where it’s referenced,” says Brett.
“The ability to quickly solve problems with AI has a substantial impact on our revenue, and that’s more apparent every quarter. Few of our competitors are doing product- or brand-specific modeling because it takes a lot of time and resources. We overcame those hurdles with Google Cloud.”
—Jim Hanifen, Head of Product, Brandfolder
Improving employee and customer productivity
Brandfolder also uses Google solutions for real-time collaboration and productivity, using G Suite to connect employees with intuitive, cloud-based apps. Teams use Gmail, Calendar, Docs, Drive, Sheets, Slides, and Hangouts Meet every day to move the business forward. Many of Brandfolder’s customers are also G Suite users, and Brandfolder offers a plug-in that allows them to view their creative assets inside of Docs and pull images in as needed. Customers can also log into Brandfolder with their G Suite credentials, making the solution even easier to use.
“We’ve been using G Suite since the beginning, and it’s helped us collaborate efficiently to build a successful, growing company,” says Jim. “Our teams expect to have that kind of close collaboration, and everyone here enjoys the G Suite experience.”
Driving 99 percent annual business growth
With automated tagging and other innovative AI-based features, Brandfolder is helping customers locate and distribute assets faster. As a result, Brandfolder is building customer loyalty and increasing sales, growing its business by 99 percent year-over-year. Since moving to GCP, Brandfolder has been able to scale its analytics and data pipeline 50x without a corresponding increase in costs and has not had to expand its development team.
“The ability to quickly solve problems with AI has a substantial impact on our revenue, and that’s more apparent every quarter,” says Jim. “Few of our competitors are doing product- or brand-specific modeling because it takes a lot of time and resources. We overcame those hurdles with Google Cloud.”
100 Stores. 5 States. How Schnucks Pulled Off a Mammoth Collaboration Feat

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As a family supermarket chain since 1939, Schnuck Markets Inc. depends on driving efficiency and volume sales to achieve its mission, identifying customer service and community partnerships among its key differentiators.
In order to commit its maximum resources for success, Schnucks continues to focus on streamlining operations and achieving greater efficiency. Management and administrative staff throughout the company’s 100 stores in five states need to be able to collaborate effortlessly while enjoying an accurate, centralized information exchange platform. These efficiencies have the potential to impact productivity, customer service, and employee engagement.
Fast-tracking data sharing
Before adopting G Suite, Schnucks found collaborative workflows to be a challenge. Managers from different stores, often in different states, had to provide data that could be compiled and shared. Collaborative documents on traditional platforms faced challenges at Schnucks, where limits of simultaneous users would result in user lockouts. Schnucks managers often exchanged many different versions of the same documents and spreadsheets. However, reconciling all those versions was time-consuming and limited real-time collaboration.
“When we share a Google sheet and request data, 200 people can add their responses immediately at the same time from any device. They don’t walk away and forget and need a reminder. The result is near-effortless compliance,” says Kim Anderson, Director of Procurement and Replenishment at Schnucks.
Schnucks has been successful using the entire range of G Suite tools, with Drive, Docs, Slides, Sheets, and Forms contributing to enhanced collaboration. Google Keep is a popular productivity tool for meeting notes and tasks and creating reminders. Schnucks also uses Hangouts Meet and Hangouts Chat to reduce time and costs spent in face-to-face meetings, and Calendar as the central source for scheduling company events and meetings.
The partnership between Schnucks and Agosto helped with a successful G Suite deployment for the retailer. Agosto helped coordinate the logistics of the move and tackled the G Suite migration with a three-part strategy: IT staffers would move to Google first before employee “Google Guide” experts came in who could help answer teammate G Suite questions.
“Agosto’s deployment plan helped our G Suite deployment run smoothly,” says Dave Steck, Schnucks Vice President of Development and IT Infrastructure. “Their thorough planning helped mitigate the inevitable disruption a change of this size would make.”
Enhanced security and reliability
Previously, Schnucks relied on email to exchange information and any outages added even more lag time to its operations. With Gmail and the entire G Suite, Schnucks now experiences virtually no downtime, allowing for effective communication with enhanced levels of reliability and security.
“We were able to take advantage of the security benefits of G Suite right away,” says Joey Smith, Vice President and Chief Information Security Officer at Schnucks. “Our administrators are able to quickly configure, test, and manage our G Suite security settings to fit the security needs of our business while maintaining compliance with all regulatory obligations.”
On top of the CapEx and OpEx savings with Google providing infrastructure for its office productivity software, Schnucks has gained increased security and high availability, as well as robust disaster recovery. These features are included in G Suite, without any need for IT intervention.
“G Suite automatically encrypts our data with a unique encryption key for each piece and distributes it across multiple data centers for performance, security, and reliability,” says Joey. “This saves us a significant amount of time and money while achieving top notch security.”
Another way Schnucks benefits from Google security is the availability of data loss protection (DLP) features native to Gmail. With DLP, Schnucks can automatically audit outgoing emails for Personal Identifiable Information (PII), Protected Health Information (PHI), and other information the store requires.
“DLP is very powerful because it provides detailed visibility,” says Joey. “We can isolate emails, analyze patterns of false positives, and follow up with education or enhanced restrictions to increase security.”
Spam reduction
An unexpected advantage of adopting G Suite was an instantaneous reduction in spam emails. That’s more administrative time saved for employees. In fact, Gmail native spam prevention is so effective that Schnucks was able to replace its third-party spam filter with a simpler technology that costs 80% less.
Savings on hardware and software
Converting to G Suite saves Schnucks the operational costs of an infrastructure for office and communications solutions, but its web interface also provides substantial savings on application maintenance, anti-virus software, and hardware.
With G Suite files and applications residing in the cloud, the need for employees to use heavyweight installable applications is increasingly rare. As laptops age, Schnucks is replacing them with Chromebooks, saving approximately $1,250 per computer. Because Chromebooks don’t require additional anti-virus software or many other endpoint security measures, the need for software licenses and other security and maintenance costs are simultaneously reduced.
Schnucks also finds that Chromebooks instantly increase productivity. “What’s great about the Chromebook is the productivity savings we get from the speed and ease of use and management,” says Dave Steck, Vice President of Development and IT Infrastructure at Schnucks. “You’re not waiting for applications to start up. As a result, Chromebooks are the only laptops we need for the majority of our teammates.”
Aligning the company across sites
More than just providing a common set of office tools, intuitive collaboration in G Suite enables the grocery chain to provide consistent messaging and a central information hub across all store locations. With posters, presentations, and communications, Schnucks worked hard to help ensure that the entire company understood the value of the tools. The Operations and IT teams rolled out the changeover in three phases, using Google Guides to show the benefits of adoption and then rolling out to larger groups over time.
“Adopting G Suite as a collaborative platform helped us to integrate individual store activities and increase operational efficiency,” says Dave.
Investing in the future
Employees who were already familiar with G Suite because they used it in school or in their personal lives have found the move eases communications company-wide, and Schnucks believes that the move will also help attract prospective employees who already use G Suite.
“Knowing that more and more prospective employees are already familiar with G Suite is a big win for us,” says Joey. “To them, it helps demonstrate our commitment to innovation.”
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