Environmental sustainability is a key priority for TELUS, a world-leading communications technology company. It continues to rank in the top 100 most sustainably managed companies in the world, and seeks to make a healthier planet for all by leveraging its global-leading technology, compassion to drive social change and reduce our collective carbon footprint through innovative technologies and sustainable business practices.

TELUS surpassed its sustainability objectives in 2019 and is now on a journey to procure all of its electricity from renewable or low-emitting sources by 2025. Next, it aims to achieve net carbon neutrality for its operations by 2030. TELUS has also been named to the Dow Jones Sustainability Index for 21 consecutive years, a feat unmatched by any other North American telecom or cable company. In 2021, it became the first company in Canada to release a Sustainability-linked bond (SLB) framework and complete an SLB offering, formally linking TELUS financing to its environmental performance.

“We’ve spent the last decade becoming a global leader in sustainability, helping make the planet healthier by ensuring that our operations are as environmentally responsible as possible,” said Geoff Pegg, Head of Sustainability and Environment at TELUS.

In part, TELUS’ strategy is focused on three key areas:

1. Seek the best renewable energy options available
2. Focus on migrating workloads to the cloud
3. Embrace a multiplier effect through the use of sustainable partners

Renewable energy impact

Part of this environmental responsibility involves investing heavily in renewable energy sources through power purchase agreements (PPAs) that help renewable energy providers like wind farms and solar companies develop their infrastructure. TELUS executed PPAs with four Alberta-based solar and wind facilities to provide 100 per cent of its electricity load demand in a province where one-third of the grid is powered by coal.

As a technology company, electricity represents a large portion of TELUS’ energy needs: 80 percent of the operational carbon footprint comes from the power requirements for TELUS’ network and administrative buildings, Pegg explains. While TELUS is using renewable energy sources and low-emitting energy grids to power its buildings and network, there’s also the often-forgotten part of the carbon emissions equation: the energy it takes to power data centers. As the International Energy Agency recently reported, data centers represent 1 percent of the global electricity demand and that figure is expected to keep rising as the world increases usage of data-heavy technologies.

“It’s probably no surprise that everyone, whether you’re a business or a consumer, is concerned about reducing carbon emissions,” said Chris Talbott, the Google Cloud Sustainability Lead. “A lot of us think about the carbon emissions associated with our cars or with the electricity that powers our homes, but oftentimes we forget about the carbon emissions that come from the digital services that we use or the networks required to deliver that data.”

As a leader in sustainability, how can TELUS meet the energy demands of its customers while also protecting the environment? One way is through the company’s previously announced collaboration with Google Cloud. The two companies are working together to build a more sustainable world through technology and reduce TELUS’ carbon footprint, create value along the entire supply chain, and optimize industry solutions for social impact through data analytics and machine learning.

Taking a cloud first approach — reducing carbon emissions with green cloud computing

Google became carbon neutral in 2007 and has achieved 100 per cent renewable energy matching every year since 2017. Google has invested in renewable energy to match the electricity we use across our entire operations, including Google Cloud, meaning every workload that TELUS runs on Google Cloud has been matched with renewable energy purchases.

“The operational carbon footprint of running anything on Google Cloud is zero,” Talbott said. Also, by working with Google, TELUS gets the benefit of economies of scale using less electricity. Not only is TELUS leveraging Google data centers, it’s also relying on the digital collaboration made possible by Google Workspace to reduce the amount of travel required by employees attending meetings in different offices. Collaboration tools like Google Meet can reduce the carbon footprint of in-person conferences by 94 percent.

Google compensates for the environmental footprint of any electricity used in the data center and out to the edge network. “You can feel pretty good about using Google Meet because it’s carbon-neutral,” Talbott said.

Multiplier through sustainable partnerships — green cloud computing radiates out

By supporting TELUS in its environmental sustainability efforts, Google Cloud is also enabling TELUS to do the same for its various partnerships. For example, powered by Google Cloud’s infrastructure and data analytics capabilities, TELUS is partnering with Picacity (formerly NXN Digital) and Google Cloud to deliver an ecosystem of integrated smart technologies that enable cities to improve the lives of their residents.

From dynamic traffic signaling that reduces congestion and emissions, to data analytics that create smarter, more efficient city planning, the partnership is transforming the way municipalities operate in our increasingly digital world.The partnership is built on four foundational pillars of infrastructure and environmental sustainability, intelligent transportation, public safety and security, and health. In the case of intelligent transportation, this means sensors, cameras, and other devices are built into or near roads, sidewalks, and bike paths to provide data for innovative software to improve traffic flow in real time. The data can then foster informed decisions about infrastructure, city planning, fleet optimization, and public safety.

All of these environmental measures may seem small when compared with the enormity of the problem that is climate change, but as Talbott said, “Change begins with the small decisions we make every day such as paying attention to the practices of companies that we’ve come to rely on daily in the modern world. They may seem small and in the margins, but at scale, this is how we can make a real impact.”

The Opportunity for Streamed AR/VR Content 

What if you could get a high quality AR/VR experience without a dedicated physical computer—or even without a physical tether?  

In the past, interacting with VR required a dedicated, high-end workstation and, depending on the headset, wall-mounted sensors and a dedicated physical space. Complex tasks in VR can push the limits of sensor reach, cable-length, and spatial boundaries, entangling the artist and restricting their movement. This solution was not scalable beyond a handful of advanced use cases.

Recently, tetherless VR headsets from manufacturers such as HTC and Oculus have emerged that free the user from these odious restrictions, enabling a new freedom to experience VR and AR from just about anywhere. The enhanced portability and reduced cost has led to substantially increased adoption among consumers and opened up many new exploratory use cases in enterprise.

However, while these headsets are more accessible and portable, a tradeoff in compute power was required in order to achieve these goals. The limited on-device compute power of this new generation of Head Mounted Displays (HMDs) is acceptable for many consumer applications such as casual gaming. However, advanced enterprise workloads with heavy graphics, compute, or memory requirements can be difficult or even impossible to run on these lightweight devices.

By combining NVIDIA CloudXR with their powerful GPUs running NVIDIA RTX Virtual Workstations (vWS) in Google Cloud data centers, you can experience high-fidelity VR and AR applications from just about anywhere with a good internet connection. The heavy computations are performed in the cloud on a GPU-attached VM and the content streams to any CloudXR compatible headset. 

The combination of Google Cloud’s private fiber optic network — the same network we built for global delivery of YouTube content — and CloudXR’s QoS technologies provides the user with the highest possible quality of service. In fact, the streaming experience is comparable to that of a headset tethered to a powerful physical workstation, but without the friction of hardware and cables. 

This combination of power and portability sets the stage to unlock the potential of high-quality gaming and enterprise AR/VR experiences anywhere on Earth.

Case Study: Creating a Masterpiece

Digital character creation is a core skill for many 3D artists today. One of the preferred methods of 3D character creation is digital sculpting, which lets artists create both hard-surface and organic shapes with high levels of accuracy and control.

Sculpting is one of the many tasks in the character designer’s skillset. Artists must also master the texturing, rigging, and posing of characters as part of the digital character creation pipeline. 

Mastering all these tasks can be challenging, and often, the technology gets in the way; working in multiple applications requires switching contexts and workflows, breaking the artist’s creative flow. The traditional user experience can also be unintuitive, forcing the creator to translate what they want to do with their hands and head into mouse movement and keyboard presses.

Masterpiece Studio Pro revolutionizes this character creation workflow by giving artists the first fully immersive 3D creation pipeline. Artists work in VR, giving them a far more intuitive and seamless way to work which combines the best of the digital and physical worlds.

In Masterpiece Studio Pro, the artist can work on the character or object at any scale, using familiar tools and hand gestures to sculpt a model, much as they would a real clay figure. Performing other tasks such as skeleton creation is simple, allowing the artist to work directly with the limbs of a character to place and adjust the joints.

Bringing It All Together

NVIDIA CloudXR streaming from the cloud provides tremendous opportunities for new creative use cases within gaming and across the enterprise. This solution joins Virtual Studio for Gaming as the latest in our series to help developers build better games.

The Masterpiece Studio use case is a powerful demonstration of new modalities for content creation and collaboration. To try CloudXR with NVIDIA RTX vWS on Google Cloud for yourself, see this tutorial. Masterpiece Studio Pro also offers extensive learning materials and a free trial.

As a leading French agricultural cooperative, Groupe Dauphinoise places collaboration at the heart of its philosophy. Working with farmers in the Rhone-Alpes region, Groupe Dauphinoise takes on a diverse range of activities from agricultural production to research and development to running retail outlets.

As its operations expanded and strained its existing infrastructure, Groupe Dauphinoise saw the opportunity to upgrade its technology solutions and adopted G Suite, Chrome devices and ultimately Google Cloud Platform (GCP).

“We transitioned to G Suite to improve our staff’s collaboration. We quickly realized that as the company grew, we needed a new infrastructure. Based on our satisfaction with G Suite, we chose GCP. With Google, ‘any device, anytime, anywhere’ is not just a dream,” says Sylvain Claudel, Head of IT at Groupe Dauphinoise.

“We transitioned to G Suite to improve our staff’s collaboration. We quickly realized that as the company grew, we needed a new infrastructure. Based on our satisfaction with G Suite, we chose GCP. With Google, ‘any device, anytime, anywhere’ is not just a dream.”

—Sylvain Claudel, Head of IT, Groupe Dauphinoise

Flexible workforce, stable infrastructure

Many of Groupe Dauphinoise’s 1,500 employees spend their days out of the office. Five years ago, with the help of Google partner GoWizYou, the company transitioned to G Suite to improve the flexibility and collaboration of its staff.

As Groupe Dauphinoise began to expand and collect more data, the company reached the limits of its on-premise infrastructure. Adding new storage was not a simple matter. Acquiring, configuring and synchronising new servers costs Groupe Dauphinoise time as well as money. In addition, with all its servers stored in a single room, security was a concern. Groupe Dauphinoise needed a new infrastructure.

Google Cloud Platform was the only solution in mind after Groupe Dauphinoise’s experience with G Suite and Chromebooks. Disruption was kept to a minimum thanks to Google’s licensing agreements with Microsoft products, allowing the company to migrate without affecting its operations.

After migrating its infrastructure to Compute Engine, Groupe Dauphinoise can let Google look after the security and maintenance. Cloud IAM makes it easy for Groupe Dauphinoise to hand out permissions to sensitive resources across a number of sites with maximum security and minimum fuss. The company placed its archives in Cloud Storage, while Cloud SQL allows it to continue to make use of its MySQL databases without disrupting the day to day business. Meanwhile, BigQuery provides Groupe Dauphinoise with the raw power to analyse large datasets quickly.

“Our company is growing and we have more and more data to collect and analyze like sales data, weather patterns or production numbers. With GCP, we have more than a single on-premise data store, so our disaster recovery plan is much more flexible. Compute Engine allows us to add more storage quickly and easily, without having to spend days synchronizing data and installing new servers. We have improved security and maintained the stability of our infrastructure while keeping costs down,” says Sylvain.

Safeguarding the present, looking to the future

With Google Cloud Platform, Groupe Dauphinoise has expanded and secured its infrastructure without sinking costs into on-premise servers or DevOps staff. Its investment in Chrome devices and adoption of G Suite mean that its mobile workforce can fully reap the benefits of a cloud-based infrastructure while dramatically cutting the cost of hardware. Meanwhile, working with a 200 million line table of sales data in Google BigQuery, the cooperative found that queries ran ten times faster than with its previous database provider. Groupe Dauphinoise is experimenting with Google BigQuery to expand its BI capabilities. Products like Google BigQuery help Groupe Dauphinoise grow its business, safe in the knowledge that its infrastructure is stable and secure.

“The amount of data we collect is growing very quickly. We need to break our rules and evolve from the mindset that we had with on-premise infrastructure and our old databases. We can now look at collecting more customer fidelity data, or big data for our farmers. With our data and infrastructure in Google’s care, we can concentrate on growing our customer base instead of our IT department!” says Sylvain.

AgroStar has launched a cloud-based mobile app that is helping to boost crop yields and encourage best practices for small farmers in India. Launched as an on-premises ecommerce platform selling farm tools in 2008, the firm turned to Google Cloud Platform (GCP) to expand its offering. It now uses cloud-based analytics and is deploying ML models to provide timely advice in five languages on everything from seed optimization, crop rotation, and soil nutrition to pest control.

A 2018 survey underscored the demand for agricultural planning for Indian farmers. While farming remains a dominant sector in India, employing half of its labor force, 70 percent of small farmers – those cultivating fewer than three acres – said their crops are damaged by unforeseen weather and pests. An even higher number – 74 percent – say they lack access to farming-related information.

Widening that gap is the relative lack of access to new, higher yield seeds and improved soil analyses for small farmers, who must otherwise rely on traditional methods. “It could take a few years for innovative information to trickle down from universities to small, grassroots farmers,” says Pritesh Gudge, AgroStar Software Engineer. “Today, just by clicking through our Android application, farmers learn about new, effective farming practices and receive advice customized to their crop and soil.”

Connecting a million farmers in the cloud

Operating in the Indian states of Gujarat, Maharashtra, Rajasthan, Orissa, Bihar, and Karnataka, AgroStar is closing the knowledge gap with a full-service, cloud-based SaaS solution – the only one of its kind in India. It combines agronomy, data science, and analytics to help farmers by providing a variety of resources.

AgroStar has reached over a million farmers through its Android app, the AgroStar Agri-Doctor. The mobile client is available as a web-based or full-featured native app. Both provide access to the firm’s knowledge base hosted on GCP, a Q&A forum that connects farmers to each other to help understand and better solve problems and to learn about innovative practices and products. Farmers can also click through to follow local and national market trends that help forecast crop prices.

In addition to the self-service knowledge base, AgroStar provides access to agronomy experts who use cloud-based analytics tools and historical data to provide season-and locale-specific advice to each farmer. “We are now tracking thousands of calls in 5 languages each day,” says Pritesh.

The AgroStar app also provides links to purchase and then track the delivery of farm tools and supplies such as cultivators and fertilizers. An in-house platform manages fulfillment centers and a doorstep delivery network simplifies the supply chain while giving farmers what they need, when they need it. By procuring directly from the manufacturers and primary distributors of farm supplies, Agrostar is achieving cost savings, which it passes on to farmers.

Build fast, pivot faster

From the start, the human and environmental variables of farming in India, not to mention the volume of AgroStar’s few hundred thousand monthly active users, made a highly scalable cloud-based solution inevitable. Farmers rely on the firm’s Agri-Doctor app to provide advice in multiple languages on topics that range widely throughout three growing seasons, each with distinct crop nutrition and rotation cycles and farm implementation requirements.

“For farmers, the focus keeps changing every month, and every season,” says Pritesh. “To serve our growing community, we needed a platform that could process images at high volume, fulfill tools and seed orders across thousands of miles, and respond to multilingual queries. We quickly moved away from spreadsheets and server-based solutions – we needed to build fast and pivot faster.”

Ending late-night deployments

The firm’s first cloud experience was with an AWS solution. At the time, AWS was the only cloud provider in India, but AgroStar wanted to find a solution that was easier to use and offered better integration with Android devices. “Deployment and processing costs were very high, and the developer tools and documentation were not as intuitive as we needed,” says Pritesh.

When GCP service arrived in India in October 2017, AgroStar embarked on a platform re-implementation that made possible dramatic changes in the way it developed and deployed its solution. Using Google Kubernetes Engine (GKE) for crop advice management and Compute Engine for its production application services, the firm built the backend for the Agri-Doctor discussion forum in only three weeks. The platform’s microservice architecture is implemented in Python and Golang and deployed on GCP.

AgroStar began to realize significant efficiencies in its build, deploy, and test cycles. “We previously needed to work overnight to deploy to production,” says Pritesh. “Now using Google for Kubernetes containers and a rolling update strategy, we can deploy during the day without any problems or interruptions to service.”

The move to GCP streamlined AgroStar’s stack. “We were running 12 independent instances on AWS,” says Pritesh. “With Google Kubernetes Engine, we are deployed on a single cluster at a cost savings of $1,300 per month and growing.”

Improving customer response times by 85 percent

With a managed deployment capability, AgroStar can devote more time and resources to executing on its platform and Agri-Doctor app development plan. A strategic goal was managing customer response times as the firm grew its base. GCP has helped the firm meet that goal, achieving an 85 percent improvement in customer response times even as traffic grew significantly.

“With our on-premises solution, we could handle around 100 customers daily, which took 30 to 50 minutes for each customer,” says Pritesh. “We now handle thousands of customers daily, taking only 4 to 5 minutes for each one.”

AgroStar used Firebase to implement its Agri-Doctor app. A real-time cloud database, Firebase provides an API that enables the Agri-Doctor advice forum to be synchronized across all its far-flung mobile clients, effectively sharing knowledge base updates with one million users in near real time.

Using cloud tools to manage and monitor

Cloud Pub/Sub, Kafka, and Cloud Dataflow manage data ingestion and queueing of event and transaction data to the analytics layer. BigQuery fetches and persists data to Cloud Storage. Cloud SQL and dashboards powered by Tableau deliver farmer crop and soil profiles within minutes.

Cloud IAM helps AgroStar control access to all its cloud resources. And Stackdriver, the integrated logging aggregation capability for GCP, helps monitor and speed debugging on every tier of the AgroStar solution.

Machine learning to enhance yields

AgroStar is developing a variety of ML components to improve responsiveness and extend its platform offerings.

To speed up the diagnosis of and treatment for crop blight, AgroStar is building a deep learning pipeline using TensorFlow. The pipeline relies on GoogLeNet models that use multi-layered convolutional visual pattern recognition. It will assess uploaded images to support a disease-detection capability on the mobile app. Based on the commercially successful AI algorithms that automated postal code processing, GoogLeNet offers improved performance and computational efficiencies by using a creative layering technique that distinguishes them from older, sequential recognition engines.

To improve its customer search experience, AgroStar is developing an ML pipeline that shrinks fetch times by suggesting tags mapped to stored data. Processed using TPUs, Cloud Natural Language and Video AI, the tags provide a metadata layer that supports queries in any of the ten natural languages that AgroStar farmers can use.

The AgroStar search pipeline consists of Long Short-Term Memory (LSTM) models of Recurrent Neural Networks. Recurrent networks exhibit “memory” through iterative processing and are distinguished from feedforward networks by a feedback loop connected to their past decisions, ingesting their own outputs moment after moment as input.

Implementing a recommendation engine

The firm is also adapting the Random Forests TensorFlow AI model to develop a crop and product recommendation engine. The model is trained by consuming numerical (rainfall, humidity, water availability per acre) and categorical (soil type, water sources) parameters to suggest appropriate products by season, region, and locale.

To simplify the product suggestion experience, AgroStar developers are testing Cloud Dialogflow, the Google Cloud conversational interface, to build a chatbot capability into its mobile app. The bot will track a farmer’s crop schedules and answer simple questions by linking to the recommendation engine.

AgroStar is also extending its analytics platform with AI-powered sales planning and forecasting. Using linear regression models implemented in TensorFlow and powered by Cloud ML Engine, the capability will enhance supply chain logistics as the company scales its operations across India.

To provide a credit on-demand offering for a range of seed-to-harvest cycle products, AgroStar is attempting to use Vision API to create an AI model that will convert uploaded photos of customer application records into standard data formats. The firm’s credit policy features a grace period in which farmers begin paying back loans after harvested crops go to market.

A versatile and friendly development ecosystem

AgroStar credits the convivial tools and documentation that GCP offers and its incremental, pay-as-you-go pricing model for both the firm’s success and its ability to manage growth.

“What Google Cloud offers is extremely good documentation and extremely simple-to-use tools and interfaces across all services,” says Pritesh. “It helped us initially deploy our platform and at every scale that we have required since then, and its cost effectiveness enabled us to staff up to meet new feature milestones.”