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Google Cloud’s ML-based Image Classification App: A Key to Global Wildlife Conservation
Wildlife provides critical benefits to support nature and people. Unfortunately, wildlife is slowly but surely disappearing from our planet and we lack reliable and up-to-date information to understand and prevent this loss. By harnessing the power of technology and science, we can unite millions of photos from [motion sensored cameras] around the world and reveal how wildlife is faring, in near real-time…and make better decisions
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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.
Accuracy and Real-time Updates with Google Maps’ On-Demand Rides and Delivery Solution Impacts CX
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Last year we launched our on-demand rides and delivery solution to help businesses improve operations as well as transform the driver and customer journey from booking to arrival or delivery. When it comes to on-demand rides and deliveries, every minute matters. When users book a ride or order food, they want a seamless experience and real-time accurate updates. Today, we’re taking a closer look into data quality improvements for location, time and distance accuracy, and motorbike routes.
Machine learning helps drive location accuracy
Location accuracy stands at the base of our customers’ operation. The location signals that are coming from mobile devices can sometimes be off for various reasons and a driver’s location can get stuck, or jump around.
Recently we developed mechanisms in our fleet management product that can take in multiple location signals and determine the most reliable location to use for a given vehicle. With that, we noticed drastic improvements:
- Eliminated long periods of location ‘stuckness’ almost completely; a vehicle is considered ‘stuck’ when we think it’s moving but the measured location is not
- Reduced the jumpiness of the location signal by 52%-86%: ‘jumpiness’ is when a vehicle shows a sudden and usually drastic change in location. A jump is determined to exist when the speed the vehicle had to go at in order to cover the distance it did is unrealistic
- Reduced the average jump distance by 44%-86% : ‘jump distance’ is the distance between two consecutive location pings when we determined a ‘location jump’ has occurred.
Dunzo, a local e-commerce platform in India, explains how integrating the order tracking capability within Google Maps Platform’s On Demand Rides and Delivery solution has helped reduce support calls by 90%. The out-of-the-box solution helped Dunzo’s motorbike delivery partners with updating location sync to reduce stuckness and jumpiness as well as deliver premium user experiences.
When the vehicle location is more reliable, the dispatch decision is of higher quality, meaning there is a higher chance you will be able to make the optimal decision. This can lead to less wait time for consumers, increased driver happiness and fewer cancellations.
Improvements in ETA accuracy in motorbike routes
In many geographic areas, road space is limited and car ownership is prohibitively expensive so motorbike is a prominent transportation mode. Motorbike mapping requires unique routing, ETA models, and navigation capabilities. Improvements in motorbike routing and ETA estimation have enabled customers like Gojek to offer better overall services, even in geographies with poor wifi or missing roads.
Recently, we further improved ETA outcomes by developing new machine learning models trained specifically for motorbikes. These models help our systems account for differences in congestion and traffic flow that arise in different regions and scenarios.
Globally, we measured an ~8% improvement in ETA accuracy for riders in the general public, and a ~6% improvement in on-demand rides and deliveries ETA accuracy. In this on-demand economy, where consumers are accustomed to real-time trip and order progress, these improvements will significantly improve their experience.
We will continue to innovate on both our car and motorbike on-demand rides and deliveries capabilities based on customer demand and requirements. We are committed to the success of our customers by building a seamless experience for all parties—consumers, drivers, and fleet operators—in the rides and deliveries journey.
For more information on Google Maps Platform, visit our website.
Google Dataflow Named Leader in The 2021 Forrester Wave™: Streaming Analytics
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We are excited to announce that Google has been named a Leader in The Forrester Wave™: Streaming Analytics, Q2 2021 report. Thank you to our strong community of customers and partners for working with us to deliver a customer focused product. We believe Forrester’s recognition is an acknowledgement of our leadership across an integrated set of capabilities that rely on data to drive transformation. We were also honored to be named a leader in The Forrester Wave™: Cloud Data Warehouse, Q1 2021.
Forrester gave Dataflow a score of 5 out of 5 across 12 different criteria and according to the report: “Google Cloud Dataflow has strengths in data sequencing, advanced analytics, performance, and high-availability. Google Dataflow’s sweet spot is for enterprises that have a preponderance of real-time data generated on Google Cloud Platform or wish to simplify all data processing by using a single platform that unifies both streaming and batch jobs.”
Harnessing the power of real-time data
The speed with which businesses are able to respond to change is the difference between those that successfully navigate the future and those that get left behind. In order to accelerate their digital transformation, reimagine their business and leverage the power of real-time data, today’s data leaders require a streaming analytics platform that provides both depth and breadth.
Cloud Pub/Sub and Cloud Dataflow, based on more than a decade of experience in internet scale systems for Google’s own needs, provide customers with a reliable, scalable, performant platform. In addition, we’ve designed these products for ease of use to make streaming analytics accessible to more users, which is why customers such as Sky and others from across all industries use Dataflow to run streaming analytics workloads.
5 out of 5 across key streaming analytics criteria
While Forrester gave Dataflow a score of 5 out of 5 in 12 criteria, the product achieved the highest possible scores in areas that are top of mind for our customers.
We continue to be focused on solving problems that matter to you. For example, just in the last month we announced Dataflow Prime and Auto Sharding for BigQuery – two new auto tuning capabilities that bring efficiency and simplicity to your streaming pipelines.
Dataflow achieves highest score possible in strategy
With Google, organizations gain an industry leading product and a partner that has the vision and strategy to help you tackle new business challenges and provide delightful experiences to your customers.
In summary, we are honored to be a Leader in The Forrester Wave™, Streaming Analytics, and look forward to continuing to innovate and partner with you on your digital transformation journey.
Download the full report: The Forrester Wave™: Streaming Analytics, Q2 2021 and check out these smart analytics reference patterns. To learn more about Dataflow, visit our website and get to know the product by taking an interactive tutorial. You can also watch recordings from the Data Cloud Summit event (May 2021), where we provided an in-depth view of new product innovations in Dataflow and other data analytics products.
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Data Leaders in 2021 and Beyond: How to Prepare
As technologies and workplace environments are quickly evolving, how people and businesses leverage data in their day-to-day workflow is also changing.
Data leaders are an emerging force navigating and charting pathways forward towards new horizons for how people and organizations experience data.
In this presentation, Pedro Arellano, Product Marketing Director, Looker, will cover three areas:
- Underline that the value of data within an organization is no longer up for debate. Everybody needs data, and everybody’s job has the potential to be improved with data.
- Three trends that will help put into context how we’ve arrived at this particular moment of such great potential for data.
- Why data leaders, almost regardless of their title, are now in a position to really influence the direction of organization like never before.
Learn what’s guiding the thinking of data leaders in 2021 and beyond.
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How Google Secures its Data Centers: Watch Video
Security is in the DNA of Google Cloud’s dozens of data centers, complex network and workloads scattered the globe. Take a tour to the nucleus of data center’s six layers of physical security designed to keep unauthorized access at bay, and also learn about Google Cloud’s security fundamentals to leverage the same philosophy on Google Cloud. Watch now!
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