Expectations for both consumer and commercial products have changed. Consumers want products that evolve with their needs, adapt to their preferences, and stay up-to-date over time. Manufacturers, in turn, need to create products that provide engaging customer experiences not only to better compete in the marketplace, but also to provide new monetization opportunities. 

However, embedding intelligence into new and existing products is challenging. Updating hardware is costly, and existing connected products do not have the capability to add new features. Furthermore, manufacturers do not have sufficient customer insights due to product telemetry and customer data silos, and may lack the AI expertise to quickly develop and deploy these features. 

That’s why today we’re launching Intelligent Products Essentials, a solution that allows manufacturers to rapidly deliver products that adapt to their owners, update features over-the-air using AI at the edge, and provide customer insights using analytics in the cloud. The solution is designed to assist manufacturers in their product development journeys—whether developing a new product or enhancing existing ones. 

With Intelligent Products Essentials, manufacturers can:

• Personalize customer experiences: Provide a compelling ownership experience that evolves over the lifetime of the product. For example, a chatbot that contextualizes responses based on product status and customer profile.
• Manage and update products over-the-air: Deploy updates to products in the field,  gather performance insights and evolve capabilities over time with monetization opportunities.
• Predict parts and service issues: Detect operating thresholds, anomalies and predict failures to proactively recommend service using AI, reducing warranty claims, decreasing parts shortages and increasing customer satisfaction.

In order to help manufacturers quickly deploy these use cases and many more, Intelligent Products Essentials provides the following:

• Edge connections: Connect and ingest raw or time-series product telemetry from various device platforms utilizing IoT Core or Pub/Sub and enable deployment and management of firmware over-the-air and machine learning models with Vertex AI at the edge.
• Ownership App Template: Easily build connected product companion apps that work on smartphones, tablets, and computers. Use a pre-built API and accompanying sample app that can incorporate product or device registration, identity management, and provide application behavior analytics using Firebase.
• Product fleet management: Manage, update and analyze fleets of connected products via APIs, Google Kubernetes Engine, and Looker.
• AI services: Create new features or capabilities for your products using AI and machine learning products such as DialogFlow, Vision AI, AutoML, all from Vertex AI.

Enterprise data integration: Integrate data sources such as Enterprise Asset Management (EAM), Enterprise Resource Planning (ERP), Customer Relationship Management (CRM) systems and others using Dataflow and BigQuery.

Intelligent Products Essentials helps manufacturers build new features across consumer, industrial, enterprise, and transportation products. Manufacturers can implement the solution in-house, or work with one of our certified solution integration partners like Quantifi and Softserve. 

“The focus on intelligent products that Google Cloud is deploying provides a digital option for manufacturers and users. At its heart, systems like Intelligent Product Essentials are all about decision making. IDC sees faster and more effective decision-making as the fundamental reason for the drive to digitize products and processes. It’s how you can make faster and more effective decisions to meet heightened customer expectations, generate faster cash flow, and better revenue realization,” said Kevin Prouty, Group Vice President at IDC. “Digital offerings like Google’s Intelligent Product Essentials potentially go the last mile with the ability to connect the digital thread all the way through to the final user.”

Customers adopting Intelligent Products Essentials

GE Appliances, a Haier company, are enhancing their appliances using new AI-powered intelligent features to enable:

• Intelligent cooking: Help cook the perfect meal to personal preferences, regardless of your expertise and abilities in the kitchen.
• Frictionless service: Build smart appliances that know when they need maintenance and make it simple to take action or schedule services.
• Integrated digital lifestyle: Make appliances useful at every step of the way by integrating them with digital lifestyle services – for example, automating appliance behaviors according to customer calendars, such as oven preheating or scheduling the dishwasher to run in the late evening.

“Intelligent Products Essentials enhances our smart appliances ecosystem, offering richer consumer habit insights. This enables us to develop and offer new features and experiences to integrate with their digital lifestyle.“ —Shawn Stover, Vice-president Smart Home Solutions at GE Appliances.https://www.youtube.com/embed/zaWAJN8aKOw?enablejsapi=1&

Serial 1, Powered by Harley-Davidson, is using Intelligent Product Essentials to manage and update its next generation eBicycles, and personalize its customers’ digital ownership experiences. 

“At Serial 1, we are dedicated to creating the easiest and most intuitive way to experience the fun, freedom, and adventure of riding a pedal-assist electric bicycle. Connectivity is a key component of delivering that mission, and working together to integrate Intelligent Product Essentials into our eBicycles will ensure that our customers enjoy the best possible user experience.”— Jason Huntsman, President, Serial 1. 

Magic Leap, an augmented reality pioneer with industry-leading hardware and software, is building field service solutions with Intelligent Products Essentials with the goal of connecting manufacturers, dealers, and customers to more proactive and intelligent service.

“We look forward to using Intelligent Products Essentials to enable us to rapidly integrate manufacturers’ product data with dealer service partners into our field service solution. We’re excited to partner with Google Cloud as we continue to push the boundaries of physical interaction with the digital world.” — Walter Delph, Chief Business Officer, Magic Leap

Intelligent Product Essentials is available today. To learn more, visit our website.

For many people, an Ivy League education is a promise of a better future. But Aditya Agarwalla, who studied computer science at Princeton, didn’t want to limit that future to just himself. He wanted to share his good fortune and create a positive social impact in his home country of India.

When Agarwalla discovered that small farmers didn’t have ways to demand fair prices owed to them for their crops, he knew he’d found his mission. His Princeton thesis project was the basis for a solution: Kisan Network, an online marketplace that connects farmers directly to buyers for produce, eliminating middlemen and increasing farmers’ profits.

Taking a leave from Princeton, Agarwalla returned to Delhi and launched Kisan Network with his father in 2015. Agarwalla and his 70 employees—software developers as well as field employees who consult with farmers throughout India—use G Suite to record crop information from farmers, share ideas for improving Kisan Network’s Android app, and recruit new hires.

Bringing technology back to earth

“Switching to G Suite was seamless. Almost everyone is familiar with the functionality and design of it from their own personal Google accounts.” — Aditya Agarwalla, Founder, Kisan Network

Farmers in rural communities struggle to earn a living without access to information and technology. India’s independent farmers often engage in an outdated selling system involving middlemen who help set low prices that only benefit buyers. Agarwalla saw Kisan Network as a way to connect farmers directly to buyers, so that farmers could be paid fairly.

“We connect a farmer in a Northern Indian state to a buyer located in a Southern Indian state—a 1,500-mile spread,” says Agarwalla. Farmers benefit by doing business with a far broader range of produce buyers than they can reach on their own.

Talking to farmers and buyers across India demanded email and other business tools that could be accessed in a remote field, in Kisan Network’s offices just outside of Delhi, or while meeting job candidates in person. When Kisan Network started out with just four employees, Agarwalla used Microsoft Outlook for email.

“When you’re doing sales and marketing, it matters that you’re reaching out from an authorized company email address,” Agarwalla says. “It conveys a sense of professionalism and gives you validity.”

Adding email addresses with the kisannetwork.com wasn’t easy in Outlook, and once Agarwalla created the addresses, he’d still have to set up accounts and buy licenses for other productivity tools like Microsoft Word.

As Agarwalla started hiring more people, he realized that just about all of the candidates had Gmail addresses, which got him thinking about choosing G Suite for email and workplace collaboration. Since most people already knew their way around Gmail, Agarwalla wouldn’t have to teach them how to use the tools; plus, it was easier for him to manage.

“The ease of setup was important,” Agarwalla says. “Once you set up a new email address in Gmail—which only took a few minutes—that person instantly has access to everything you want them to use in G Suite. My employees needed only a single account for everything.”

Agarwalla liked the ease of creating Kisannetwork.com addresses with G Suite. Another deciding factor was that G Suite could easily integrate with other systems he and his employees used for software development and supply chain management. G Suite was also more affordable than Microsoft Office 365, finalizing Agarwalla’s decision to go with G Suite.

“Switching to G Suite was seamless,” says Agarwalla. “Almost everyone is familiar with the functionality and design of it from their own personal Google accounts.”

Filling the hiring pipeline

Agarwalla had big plans to reform the produce buying process—but he needed more people to make that vision a reality. Right out of the gate, G Suite helped streamline Kisan Network’s hiring process with secure, paper-free tools.

Every job candidate fills out a Google Form, which everyone in the hiring process can access online during interviews. Once candidates are hired, Kisan Network’s hiring team then creates email addresses for new employees through the G Suite admin console—a process that only takes a few minutes.

New hires can browse orientation materials that are shared in Docs and Sheets. The shared online documents help Kisan Network hire people quickly and get new workers up to speed on their roles.

Shrinking the distance between farms

“G Suite seamlessly flows into our everyday work, whether it’s sending emails, setting up meetings, or creating shared documents and presentations.” — Aditya Agarwalla, Founder, Kisan Network

Kisen employees travel all over India to meet with farmers, covering roughly 175,000 miles to date. “We have field presence in many rural regions,” says Agarwalla. “The employees are collecting information like land assessments when they meet farmers and explore new crops.”

Field supervisors log their deployment and destination details into Sheets for quick reference, and use Forms to record the data they collect, including photos of crops and their conditions. In rural India, home internet access is not as common as in cities, so the field supervisors access G Suite apps on their phones.

“They’re constantly working in very remote areas,” Agarwalla says. “Using G Suite on mobile devices is the only way they can do what they do.”

When field supervisors need to speak to colleagues in New Delhi about farmers and their crops, they use Hangouts Meet or Hangouts Chat. “Hangouts is a much better option than Skype for Business, as it works in a browser and can be set up directly from a Calendar event,” Agarwalla says.

Today, Kisan Network employees work across seven Indian states and more than 2,500 villages. The 30,000-plus farmers in the Kisan Network control their entire crop-selling processes through online marketing, earning at least 10 percent more profits than before.

“G Suite seamlessly flows into our everyday work,” says Agarwalla. “Whether it’s sending emails, setting up meetings, or creating shared documents and presentations, we heavily depend on G Suite for everything we do.”

Today, we’re announcing that we’re working with AT&T to establish Messages by Google as the default messaging application for all AT&T customers in the United States using Android phones. The collaboration aims to help accelerate the industry toward global Rich Communication Services (RCS) coverage and interoperability to offer a consistent, secure, and enhanced messaging experience for all Android users around the world.

“Many AT&T customers have enjoyed the advantages of RCS for years when texting with friends and family,” said David Christopher, executive vice president and general manager – AT&T Mobility. “We look forward to working closely with Google to extend these benefits to even more of our customers as they enjoy richer conversations with others around the world.”

Working together, AT&T and Google will continue the momentum to upgrade SMS with enhanced messaging features offered in Messages, which includes the support of chat features based on the open RCS standard. With Messages as the default messaging application, all AT&T customers using Android devices will get enhanced features so they can:

• Share full-resolution pictures from a recent event or vacation 
• Send a higher-quality video of that soccer goal and the celebration that followed
• Know when someone is replying to a text
• Send and receive messages over Wi-Fi or data
• Participate in group chats where it’s easy to add someone else to the conversation, or let someone leave, without starting a brand new thread

In addition to these features, we’re also rolling out end-to-end encryption for one-on-one RCS conversations between people using Messages and people who have chat features enabled.

For years, we’ve been working with the mobile industry and device makers to bring enhanced and secure messaging to everyone on Android. Today’s announcement—that AT&T customers using Android devices will soon be able to enjoy these features by default—is a major step forward.

Editor’s note: Today’s guest post comes from Indian social media platform ShareChat. Here’s the story of how they improved performance, app development, and analytics for serving regional content to millions of users using Google Cloud. 

How do you create a social network when your country has 22 major official languages and countless active regional dialects? At ShareChat, we serve more than 160 million monthly active users who share and view videos, images, GIFs, songs, and more in 15 different Indian languages. We also launched a short video platform in 2020, Moj, which already supports over 80 million monthly active users. 

Connecting with people in the language they understand

As mobile data and smartphones have become more affordable in India, we noticed a large new segment of people, many in rural areas, being welcomed onto the internet. However, many of them didn’t speak English, and when it comes to accessing content and information—language plays a significant role. Instead of joining other social media sites where English reigned supreme, new internet users chose to join language or dialect-specific Whatsapp groups where they felt more comfortable instead.

So, we set out to build a platform where people can share their opinions, document their lives, and make new friends, all in their native language. ShareChat simplifies content and people discovery by using a personalized content newsfeed to deliver language-specific content to the right audience.

Given the high-intensity data and high volume of content and traffic, we rely heavily on IT infrastructure. On top of that, a large number of our users rely on 2G networks to post, like, view, or follow each other. Our platform needs to deliver great experiences to people who are spread out across the country and different networks without any reduction in performance.

The right cloud partner to support future growth

ShareChat was born in the cloud—we already knew how to scale systems to serve a large customer base with our existing cloud provider. But like many companies, we struggled with over-provisioning compute and storage to accommodate unpredictable traffic and avoid running out of storage. With demand rising for local language content and an increase in online interactions in response to the COVID-19 crisis, we realized that we would need a more efficient way to scale dynamically and allocate resources as needed.

Google Cloud was a natural choice for us. We wanted to partner with a technology-first company that would make it easy (and cost-effective) to manage a strong technology portfolio that would allow us to build whatever we wanted. Google is at the forefront of technology innovation and provided everything we needed to build, run, and manage our applications (including creating an efficient DevOps pipeline to fix and release new features quickly). 

We had a few issues in mind at the start of discussions with the Google Cloud team, but over time, as we got information and support from them, we realized that these were the partners we wanted in our corner when it came time to tackle our most challenging problems. In the end, we decided to take our entire infrastructure to Google Cloud.

To support millions of users, we deploy and scale using Google Kubernetes Engine. While we analyze our data using a combination of managed data cloud services, such as Pub/Sub for data pipelines, BigQuery for analytics, Cloud Spanner for real-time app serving workloads, and Cloud Bigtable for less-indexed databases. We also rely on Cloud CDN to help us distribute high-quality and reliable content delivery at low latency to our users. 

We now use just half the total core consumption of our legacy environment to run ShareChat’s existing workloads.

Google Cloud delivers better outcomes at every level 

By moving to Google Cloud, we saw major benefits in several key areas: 

Zero-downtime migration for users

At the time of migration, we had over 70 terabytes of data, consisting of 220 tables—some of which were up to 14 terabytes with nearly 50 billion rows. Due to our data’s interdependencies, moving services over one at a time wasn’t an option for us. 

Even though we were migrating such large volumes of data, we didn’t want to impact any of our customers. Latency spikes for out-of-sync data might affect message delivery. For instance, if a message or notification was delayed, we didn’t want to risk a bad user experience causing someone to abandon ShareChat. 

To prepare for the move, we ran a proof-of-concept cluster for over four months to test database performance in a real-world scenario for handling more than a million queries per second. Using an open-source API gateway, we replicated our legacy data environment into Google Cloud for performance testing and capacity analysis. As soon as we were confident Google Cloud could handle the same traffic as our previous cloud environment, we were ready to execute.

Using wrappers, we were able to migrate without having to change anything in our existing application code. The entire migration of 60 million users to Google Cloud took five hours—without any data loss or downtime. Today, ShareChat has grown to 160 million users, and Google Cloud continues to give us the support we need.

Scaling globally to meet unexpected demand

We rely on real-time data to drive everything on ShareChat by tracking everything that goes on in our app—from messages and new groups to content people like or who they follow. Our users create more than a million posts per day, so it’s critical that our systems can process massive amounts of data efficiently. 

We chose to migrate to Spanner for its global consistency and secondary index. Unlike our legacy NoSQL database, we could scale without having to rethink existing tables or schema definitions and keep our data systems in sync across multiple locations. It’s also cost-effective for us—moving over 120 tables with 17 indexes into Cloud Spanner reduced our costs by 30%.

Spanner also replicates data seamlessly in multiple locations in real time, enabling us to retrieve documents if one region fails. For instance, when our traffic unexpectedly grew by 500% over just a few days, we were able to scale horizontally with zero lines of code change. We were also launching our Moj video app simultaneously, and we were able to move it to another region without a single issue. 

Simplifying development and deployment

On average, we experience about 80,000 requests per second (RPS) –nearly 7 billion RPS per day. That means daily push notifications sent out to the entire user base about daily trending topics can often result in a spike of 130,000 RPS in just a few seconds. 

Instead of over-provisioning, Google Kubernetes Engine (GKE) enables us to pre-scale for traffic spikes around scheduled events, such as holidays like Diwali, when millions of Indians send each other greetings. 

Migrating to GKE has also enabled us to adopt more agile ways of work, such as automating deployment and saving time with writing scripts. Even though we were already using container-based solutions, they lacked transparency and coverage across the entire deployment funnel. 

Kubernetes features, such as sidecar proxy, allows us to attach peripheral tasks like logging into the application without requiring us to make code changes. Kubernetes upgrades are managed by default, so we don’t have to worry about maintenance and stay focused on more valuable work. Clusters and nodes automatically upgrade to run the latest version, minimizing security risks and ensuring we always have access to the latest features.

Low latency and real-time ML predictions

Even though many of our users may be accessing ShareChat outside of metropolitan areas, it doesn’t mean they’re more patient if the app loads slowly or their messages are delayed. We strive to deliver a high-performance experience, regardless of where our users are. 

We use Cloud CDN to cache data in five Google Cloud Point of Presence (PoP) locations at the edge in India, allowing us to bring content as close as possible to people and speeding up load time. Since moving to Cloud CDN, our cache hit ratio has improved from 90% to 98.5%—meaning our cache can handle 98.5% of content requests. 

As we expand globally, we’d like to use machine learning to reach new people with content in different languages. We want to build new algorithms to process real-time datasets in regional languages and accurately predict what people want to see. Google Cloud gives us an infrastructure optimized to handle compute-intensive workloads that will be useful to us both now—and in the future.  

The confidence to build the best platform

Our current system now performs better than before we migrated, but we are continuously building new features on top of it. Google’s data cloud has provided us with an elegant ecosystem of services that allows us to build whatever we want, more easily and faster than ever before. 

Perhaps the biggest advantage of partnering with Google Cloud has been the connection we have with the engineers at Google. If we’re working to solve a specific problem statement and find a specific solution in a library or a piece of code, we have the ability to immediately connect with the team responsible for it. 

As a result, we have experienced a massive boost in our confidence. We know that we can build a really good system because we not only have a good process in place to solve problems—we have the right support behind us.