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Editor’s note: In this guest blog we look at how a Sensor AI solution provider uses Google Cloud to deliver highly scalable and reliable SaaS solutions across the globe.SenSen has become the world leader in Sensor AI technology-based solutions thanks in large part to Google Cloud.Sensor AI is the branch of AI that deals with the analysis and fusion of data from multiple sources including cameras, GPS, Radar, Lidar, IoT devices, GIS databases and transactional data to solve problems that defy traditional methods.SenSen’s AI platform SenDISA uses Google Cloud for machine learning training and inferencing at scale for the benefit of municipalities, transport authorities, retailers, casino operators, and others to automate monotonous, laborious activities within their operations and gain insights that are impossible to obtain from one data source alone.SenDISA is a distributed platform designed to deliver solutions at scale for public and private enterprises. The platform components are distributed between on-premise edge computers and those that are cloud-powered by Google AI Cloud services.Google Cloud supports global growthThe success of SenSen’s solutions has taken the company to all corners of the world. The company now supplies highly reliable, scalable, and differentiated solutions across four continents. When clients need insights fast, SenSen often has to initiate pilot programs and roll out full-scale production deployments rapidly and at short notice. That means being nimble and responsive. And at the same time, the company has to ensure it maximizes its technology investments. SenSen has been usingGoogle Cloud for more than a decade to deliver AI solutions at scale worldwide —quickly, simply, and cost-effectively. Today, it relies on a variety of Google Cloud solutions including Compute Engine, Cloud TPU, Cloud SQL, and operations suite to power its growing business.Compute Engine andCloud TPU are the foundation for all cloud processing and analytics functions. Compute Engine allows the creation and running of virtual machines (VMs) to support a wide range of applications.SenSen relies on Cloud TPU to run its machine learning models. This ensures high performance for all compute-intensive analytics. And it uses Google Cloud’soperations suite to closely monitor all of its Google Cloud services for full visibility into the health and status of its platform infrastructure.With Compute Engine and Cloud TPU, SenSen can spin up VMs and configure TPU clusters on-demand with minimal effort. And expanding capacity or extending functionality is fast and easy, including managing storage requirements inCloud SQL.With Google Cloud environment, SenSen gets to minimize upfront investments, tightly align recurring expenses with evolving business demands, and free up development resources to focus on intellectual property rather than underlying infrastructure.Google Cloud also makes it easy to ensure high availability for safety-critical applications like surveillance deployments where system downtime could lead to illegal activity, accidents, or even loss of life. Delivering predictable and dependable services greatly helps SenSen increase customer retention, grow ARR, and improve business results. Selecting the right partnerSenSen chose Google Cloud based on its pioneering status as an early and leading provider of AI technology and cloud services.With most of SenSen’s products using Tensorflow framework and relying heavily on GPIs, Google has the most robust and leasing AI framework offering:Cloud TPU training that is extremely powerful and easy to useSeamless integration of GCS buckets and the AI platformSeamless integration of Tensorflow frameworkWide range of GPU architectures to choose fromFast and efficient creation on VMsCapable on launching model training on the fly, and also TPU clustersGIS services at the heart of positioning and context settingSenSen was an early adopter of Google’s geocoding services – Google maps and other GIS services – for address lookup with GPS used for enforcement purposes. Google Maps helps SenSen locate on-road enforcement devices as well as offending vehicles that have overstayed parking limits or parked illegally.When patrolling urban areas, Google’s location API is used in web dashboards for easy searching of enforcement zones loaded into the system. This work is made easier by Google’s polygon drawing API which helps draw enforcement polygons that capture all the zones in a modern urban area including No Parking, No Stopping, Clearways, Bus Lanes, Transit Lanes, Cycling Lanes and all types of parking time limits.Throughout SenSen’s evolution, Google’s GIS-based services have been unique, comprehensive and easy to use in delivering a great experience to end customers.Transforming diverse sensor data into previously unachievable business insightsSenSen’s mission is to positively transform people’s lives with Sensor AI. Unlike other analytics solutions that narrowly focus on a single type of sensor data, SenSen’s SenDISA platform intelligently analyzes and fuses data from a wide array of sources including cameras, GPS, Lidar, Radar and other location sensors, motion sensors, and temperature sensors, and other IoT devices to deliver insights that are otherwise impossible to obtain. Using fused data, the company is able to solve a variety of use cases across multiple industries.Example applications include:Road safety – help cities save lives through detection and enforcement of dangerous driving practices including speeding and distracted driver behavior.Congestion – in urban areas SenSen reduces congestion and improves the citizen parking experiencesTheft reduction – the company help fuel retailers reduce fuel theft and improve safety for their employees and customersCasinos – helps casino operators improve compliance and customer experiences.Surveillance – helps surveillance operators be productive and efficient in detecting, tracking and managing incidents.If you want to learn more about how Google Cloud can help your startup, visit our pagehere to get more information about our program, andsign up for our communications to get a look at our community activities, digital events, special offers, and more.
Quelle: Google Cloud Platform

5. November 2021

da Agency

Research: Search abandonment has a lasting impact on brand loyalty

Search abandonment—when a consumer searches for a product on a retailer’s website but does not find what they are looking for—costs retailers more than $300 billion annually in the United States alone. Today, we’re releasing more data about the costs of search abandonment, including its ongoing impact to brand loyalty, as found by a Google Cloud-commissioned Harris Poll survey of more than 10,000 consumers globally and 200 website managers in the United States. Search abandonment is even more pertinent these days, as the pandemic has supercharged retailers’ shifts to meet rising consumer expectations through new personalized ecommerce and omnichannel experiences. According to McKinsey & Company, 75% of consumers have recently tried a new shopping behavior due to economic pressure, store closings, and changing priorities. Google data has also indicated that these sorts of omnichannel consumer behaviors persist, and in many ways are intensifying—as Google searches for the term “in stock” are up 800% year-over-year. Simply put, shoppers expect to find what they are looking for with ease, with many of their searches starting on retailers’ websites even if they ultimately visit a physical store.Search abandonment is high-risk and high-rewardBad search experiences are costly, while good search experiences often result in higher purchase conversion, larger order sizes, and ongoing brand loyalty. According to Harris Poll research, three out of four U.S. consumers (76%) report that an unsuccessful search resulted in a lost sale for the retail website, with 48% purchasing the item elsewhere. In fact, more than half (52%) say they typically abandon their entire cart and go elsewhere if there’s at least one item they can’t find. On the other hand, 69% of consumers say that after a successful search experience, they purchase additional items, and almost all consumers (99%) agree that they are at least somewhat likely to return to a retail website if it has a good search function. Retailers who make it easy for customers to find what they’re looking for see results. Macy’s saw a 2% increase in conversion and a 1.3% increase in revenue per visit in recent tests using Google Cloud Retail Search, which helps convert purchase intent across retailers’ own websites and mobile apps by understanding consumer intent and mapping it to product inventory. Search is vital for a positive shopping experience; search abandonment costs brand loyaltyThe search function is the most commonly used feature on retail websites, impacting outcomes beyond the initial purchase, the research results found. Nine in 10 consumers say a good search function is “very important” or “absolutely essential,” with 97% agreeing that their favorite retail websites are ones where they can quickly find what they are looking for. On the other hand, 77% of U.S. consumers avoid websites where they’ve experienced search difficulties; 77% of U.S. consumers view a brand differently after an unsuccessful search on their websites; and 75% say they are less loyal to a brand when it’s hard to find what they want on a website. Seventy-four percent agree that if a company won’t invest in improving its website, then they don’t want to give them their money.Outside of the United States, consumers are even more likely to say they view brands differently following an unsuccessful search, particularly in Brazil (92%), India (91%), Mexico (89%), Australia (87%), and the UK (86%).Search abandonment is pervasiveConsumers and website managers agree that search abandonment is pervasive. Ninety-four percent of consumers globally report receiving irrelevant results while searching on a retailer’s website, and 88% of U.S.-based retail website managers say abandoned searches are a problem at their company, with 84% believing that consumers are less loyal to brands when they’ve had unsuccessful searches. With billions on the line and clear indication from consumers that online shopping and omnichannel services are here to stay, combatting search abandonment is essential to keep customers coming back. Doing so doesn’t have to be daunting. For example, retailers can leverage Google Cloud’s recently announced Retail Search on their own web properties, as well as our full suite of Product Discovery Solutions for Retail which provides additional ways for retailers to enhance their ecommerce capabilities and deliver personalized consumer experiences.Download our ebook to see the full survey results, and visit our website to learn more about Google Cloud’s solutions for retailers to improve customer experiences and combat search abandonment.
Quelle: Google Cloud Platform

Facebook just made a big deal of shutting down its original facial recognition system. But the company’s pivot to the metaverse means collecting more personal information than ever before.