Lending DocAI Shortens Borrowers’ Journey on Roostify
11803
Of your peers have already read this article.
3:00 Minutes
The most insightful time you'll spend today!
The home lending journey entails processing an immense number of documents daily from hundreds of thousands of borrowers. Currently, home lending document processing relies on some outdated digital models and a high dependency on manual labor, resulting in slow processing times and higher origination costs. Scaling a business that sorts through millions of documents daily, while increasing efficacy and accuracy, is no small feat. When it comes to applying for a mortgage loan, consumers expect a digital experience that’s as good as the in-person one. Roostify simplifies the home lending journey for lenders and their customers.
No time to spare: Overcoming document processing challenges with AI
Roostify provides enterprise cloud applications for mortgage and home lenders. In order to empower its customers to deliver a better, more personalized lending experience, they needed to automate and scale their in-house document parsing functionality.
As a key component of its document intelligence service, Roostify is leveraging Google Cloud’s Lending DocAI machine learning platform to automate processing documents required during a home loan application process, such as tax returns or bank statements with multi-language support. This partnership delivers data capture at scale, enabling Roostify customers to automatically identify document types from the uploaded file and to extract relevant entities such as wages, tax liabilities, names, and ID numbers for further processing, and make things move faster in the cumbersome lending process.
Roostify’s solutions leverage Google Cloud’s Lending DocAI, which is built on the recently announced Document AI platform, a unified console for document processing. Customers can easily create and customize all the specialized parsers (e.g., mortgage lending documents and tax returns parsers) on the platform without the need to perform additional data mapping or training. All Google Cloud’s specialized parsers are fine-tuned to achieve industry-leading accuracy, helping customers and partners confidently unlock insights from documents with machine learning. Learn more about the solution from the GA launch blog and the overview video.
Integrating Lending DocAI’s intelligent document processing capabilities into the Roostify platform means more innovation for their customers and tangible results: faster loan processing times, fewer document intake errors, and lower origination costs. Additional support in Google Lending DAI for other languages and more documents like global Know Your Customer (KYC) documents or payroll reports is in the near future.
Full integration of AI solutions
Working together with Roostify’s platform team, we were able to help them solve their document processing challenge through integration of various GCP products such as Lending DocAI (LDAI), Data Loss Prevention (DLP) for redacting sensitive data, BigQuery for data warehousing and analytics, and Firestore for API status. To make it very safe and secure, all data was encrypted end-to-end at Rest and in Transit. LDAI won’t require any training data to process. It is an easy plug and play API.
Here is a sneak peek in the high level deployment architecture for LDAI in Roostify environment:
Here are the steps for processing data:
- Receives document processing request from the client.
- API Function directs requests to the pre-processing service. For Async requests a processing ID is generated and returned to the caller.
- Pre-processing service sends the request for further processing (Long/short PDF conversion), calling other microservices and receives back the responses. Any error in the response received is then sent to the response processing service.
- If the response is synchronous, the pre-processing service directs it to the LDAI Invoker service.
- If the response is asynchronous, the pre-processing service feeds it into the Cloud Pub/Sub service.
- Cloud Pub/Sub service feeds the response back to the LDAI Invoker service.
- LDAI Invoker service routes the request to the Google LDAI API for classification if there are multiple pages in the document.
- Document will be split based on LDAI response and then saved in a GCS bucket for temporary storage.
- LDAI entity interface for single page processing and then LDAI Invoker sends LDAI results to LDAI Response Processing
- If a request is a synchronous request the LDAI Response Processor sends results to the API Function so that it can complete the synchronous call and respond to the rConnect caller.
- If the request is an asynchronous request the LDAI Response Processor will respond to the caller’s webhook and complete the transaction.
- Finally, Data stored in the GCP bucket will be deleted.
All the responses that come from the LDAI API can optionally feed into BigQuery via the Response Processor, after parsing it through Data Loss Prevention (DLP) API to redact the PII/sensitive information. Throughout the processing of both asynchronous and synchronous requests all transactions are logged using Cloud Logging. For asynchronous transactions, the state is maintained throughout the process using Cloud Firestore.
Roostify currently uses this technology to power two different solutions: Roostify Document Intelligence and Roostify Beyond™. Roostify Document Intelligence is a real-time document capture, classification, and data extraction solution built for home lenders. It ingests documents uploaded by borrowers and loan officers, identifies the relevant documents, and extracts and classifies key information. Roostify Document Intelligence is available as a standalone API service to any home lender with any digital lending infrastructure already in place.
Roostify Beyond™ is a robust suite of AI-powered solutions that enables home lenders to create intelligent experiences from start to close. It combines powerful data, insightful analytics, and meaningful visualization to streamline the underwriting process. Roostify Beyond™ is currently available only to Roostify customers as part of an Early Adopter program and will be rolled out to the market later this year.
Through this partnership, Roostify has enabled its customers to adopt a data-first approach to their home lending processes, which will lead to improved user experiences and significantly reduced loan processing times.
Fast track end-to-end deployment with Google Cloud AI Services (AIS)
Google AIS (Professional Services Organization), in collaboration with our partner Quantiphi, helped Roostify deploy this system into production and fast-tracked the development multifold to generate the final business value.
The partnership between Google Cloud and Roostify is just one of the latest examples of how we’re providing AI-powered solutions to solve business problems.
Indonesia moves towards advanced education with Cloud, ML & Mobile Development
3205
Of your peers have already read this article.
2:30 Minutes
The most insightful time you'll spend today!
Indonesia is leading the way for digital transformation in Southeast Asia. According to Google’s e-Conomy South East Asia report, the country’s 2030 Gross Merchandise Value – the value of online retailing to consumers – could be twice the value of the whole of Southeast Asia today.
This growth means that many companies need more qualified IT graduates and employees with digital skills than they have today. Fast-growing tech companies need more qualified IT graduates, and employees with digital skills. According to the World Bank, Indonesia needs an additional nine million people with digital skills by 2030. The shortage of technical talent reiterates the need to invest in a reliable skills pipeline.
Following years of digital talent developments in Indonesia, Google has become a supporter of Bangkit, an academy designed to produce high-caliber technical talent for Indonesian technology companies and startups. Bangkit has facilitated a multi-stakeholder collaboration between Google, government, industry, and universities across Indonesia.
Last year, the President of Indonesia and the Ministry of Education and Culture, Research, and Technology, acknowledged Bangkit’s significant impact, with 3,000 students completing nearly 15,000 courses and specialisations.
Building on last year’s success, Bangkit started its 2022 program in February, offering three learning paths to students:
- Cloud computing with Google Cloud, preparing students for the Google Associate Cloud Engineer certification. Some of the course components are also available online
- Mobile development with Android, preparing students for the Google Associate Android Developer exam. An online version is available here.
- Machine learning with Tensorflow, getting students ready to take the Tensorflow Developer certification. Some of the online courses are available here for others.
Bangkit 2022 has enrolled 3,100 university students who will take a five month study course, obtaining university study credit, as well as industry certifications. The program accepts diverse cohorts of people who are passionate about preparing for a tech career in the near future, with support and encouragement for women, people with disabilities, and students from across Indonesia to apply.
Since its pilot in 2019, Bangkit has been guided by three principles:
- Industry-led: provides curriculum and instructors from industry experts, including Google, GoTo and Traveloka. Instructors include key figures such as Laurence Moroney (Google, Lead AI Advocate), Google Developer Experts, and other committed professionals.
- Immersive: combines online learning methods conducted in both individual and group settings.
- Interdisciplinary: contains knowledge and best practices in tech, soft skills, and English to provide complete career readiness.
The program runs from February to July 2022, and has a 900-hour curriculum throughout the 18-week learning experience.
Benefits for students participating in Bangkit include:
- Study credit conversion
- Job opportunities at our career fair
- Google Cloud, TensorFlow and AAD exam vouchers
- Incubation funds and mentorship support from industry
Towards the end of Bangkit 2022, students will team up for the Capstone Project challenge to propose solutions to some of the nation’s most pressing problems, such as environmentalism, accessibility, and more. The top 15 teams will be selected to receive funding to incubate their capstone projects. These education and career-preparedness offerings are provided at no cost.
Google is partnering with industry, governments, universities, and employers to help meet the skill demands of today. From supporting the State of Ohio to offer tech skills to residents, to working with the University of Minnesota-Rochester to create a customized health sciences degree program, Google is here to help our partners prepare those they serve for a cloud-first world.
3298
Of your peers have already watched this video.
1:30 Minutes
The most insightful time you'll spend today!
Fitbit’s Zero-Downtime Migration to GCP
In 2019, Fitbit moved all of its production operations from managed hosting to Google Cloud Platform without any downtime. The Fitbit experience is provided by a monolithic application backed by 200+ data stores, making the task of moving service by service impossible.
So, Fitbit decided to run services in both hosting environments and move user by user. This is the story of Fitbit’s migration to GCP, which was tested and executed mostly in production, without any effects to the users.
The tale starts with a review of goals and requirements for the migration. What should the user experience be during this period? How would we know if we are meeting that benchmark and can push forward? How would we slow or reverse migration if things weren’t going well? Answering these questions led us to a migration plan that started with the movement of internal users, followed by the careful transplant of a small number of real customers, and concluded with a mass migration of the majority of our users.
This migration path required significant new additions to Fitbit’s architecture, including new testing, routing, and caching techniques. As the journey approached its conclusion, we recognized that these methods were not merely allowing us to migrate; they were allowing Fitbit to operate in multiple hosting environments simultaneously. The lessons from this migration have provided the foundation for a mutli-region architecture that will unlock the full potential of life in Google Cloud Platform.
4818
Of your peers have already watched this video.
2:30 Minutes
The most insightful time you'll spend today!
Haaretz on Google Cloud Guarantees Faster, Reliable & Responsive Services to its Audience
Israeli centenarian newspaper, Haaretz relied on on-prem infrastructure to serve readers digitally. As the need for scalability, security and business intelligence grew alongside their readership, Haaretz was looking for more than just a cloud-based solution to replace their infrastructure. Inon Gershovitz, CTO, Haaretz takes us through the journey of recreating digital news experience, serving growing reader traffic and keeping up the editorial standards with Google Cloud.
Watch the video to hear from Haaretz’ leaders on delivering personalized content to readers with Google Cloud solutions!
EyecareLive Sees a Brighter Future in the Cloud with Enhanced Support
2943
Of your peers have already read this article.
3:30 Minutes
The most insightful time you'll spend today!
EyecareLive transforms the healthcare ecosystem with Enhanced Support, a support service from the Google Cloud Customer Care portfolio.
Telemedicine is now mainstream. It exploded during the COVID-19 pandemic. A 2022 survey by Jones Lang Lasalle (registration required) found that 38% of U.S. patients were using some form of telemedicine. This number is expected to grow as consumers are demanding more convenient and immediate access to care, and doctors are seeking efficiencies, cost savings, and to forge closer relationships with patients.
But because the eye-care field is so heavily regulated, optometrists and ophthalmologists face more technical hurdles to perform telemedicine than their peers in other medical practices.
To join the telemedicine revolution, a generic technology solution wouldn’t do. Eye-care professionals need a more carefully architected and rigorously secure platform – one that ensures a very high degree of compliance and privacy.
EyecareLive provides exactly that. Their comprehensive cloud-based solution was built specifically for eye-care telemedicine practices. They not only facilitate telemedicine visits with patients via video, but help providers stay in compliance with complex industry regulations.
What’s more, EyecareLive is the only platform in the industry that conducts vision screening using Food and Drug Administration (FDA)-registered tests to check a patient’s vision before connecting them to a doctor through a video call. The doctor can thus triage any issues immediately and quickly determine the right next steps for proper care. In addition, their platform digitally connects optometrists and ophthalmologists to the entire eye-care ecosystem, including other doctors for referrals, insurance companies, hospitals, pharmaceutical firms, pharmacies, and, of course, patients.
On top of all of this, the automated back office for their eye-care practices processes electronic health records (EHRs), clinical workflow, billing, coding, and more into one platform. EyecareLive streamlines operations and frees up doctors to focus on delivering the highest possible eye healthcare and on building stronger relationships with patients.
“Considering the number of plug-and-play services that Google has built into the Google Cloud Healthcare solutions, Google is basically supporting the entire healthcare industry from an infrastructure provider point of view.” — Raj Ramchandani, CEO, EyecareLive
Seeking greater agility, EyecareLive migrated to Google Cloud
EyecareLive is truly cloud first. They had operated entirely in the AWS cloud since opening their doors in 2017. Several years in, they decided to look for an additional cloud provider with broader support for digital health platforms. They specifically wanted to migrate to one they could rely on to deliver plug-and-play services, which would accelerate innovation of their platform. Rather than re-architecting for a new cloud, EyecareLive wanted a cloud platform that would offer compatible services they could use to meet their needs for reliability and availability.
“If we want to deploy a new conversational bot or build AI models that assist doctors to diagnose based on a retina image, Google Cloud provides these services which are reliable and tested by Google Cloud Healthcare solutions in many cases.” — Raj Ramchandani, CEO, EyecareLive
Versatility was another requirement. The EyecareLive platform must fulfill the demands of a variety of organizations — doctors, pharmaceutical companies, clinics, and others. EyecareLive also has an international deployment strategy that goes far beyond offering a domestic telehealth solution. Therefore EyecareLive needed a cloud functionality that extended into the broader global eye-care ecosystem.
EyecareLive chose Google Cloud. The most compelling reason was the deep industry expertise found in Google Cloud for healthcare and life sciences. This distinguished Google Cloud from all other possible cloud providers considered by EyecareLive. “We like Google Cloud because of the differentiations such as Google Cloud Healthcare solutions, computer vision, and AI models that can be used out of the box,” says Raj Ramchandani, CEO of EyecareLive. “We found these features more robust for our use cases on Google Cloud than any other.”
“Google is heavily into its Healthcare Cloud. That’s what differentiates it. We love that part because we can tap into innovative healthcare cloud functionality quickly.” — Raj Ramchandani, CEO, EyecareLive
Key to production deployment (and beyond): Google Cloud Enhanced Support
As a cloud-born company, EyecareLive had an exceedingly tech-savvy team. But the migration was a complex one that involved migrating third-party software and networking products that were tightly integrated into EyecareLive’s own code. The team knew it needed expert help with the migration. What’s more, doctors, patients, and other users required 24/7 access to the platform, and any interruptions to availability or infrastructure hiccups during the migration would disrupt their online experiences. However, the EyecareLive team was already stretched by continuing to grow and innovate the business, so they asked Google Cloud for help.
EyecareLive purchased Enhanced Support, a support service offered by the Google Cloud Customer Care portfolio. Specifically designed for small and midsized businesses (SMBs). Enhanced Support gave EyecareLive unlimited, fast access to expert support from a team of experienced Google Cloud engineers during the intricate, multifaceted migration.
“It was my top priority to engage Google Cloud Customer Care to help us keep the platform always available for our doctors and users,” says Ramchandani. “The level of detail to the answers, the clarifications of having the Enhanced Support experts tell us to do it a certain way has been enormously helpful.”
For example, one of the valuable features delivered by Enhanced Support is Third-Party Technology Support, which gives EyecareLive access to experts with specialized knowledge of third-party technologies, such as networking, MongoDB, and infrastructure. This meant all components in EyecareLive’s infrastructure could be seamlessly migrated to Google Cloud, and afterward EyecareLive could lean on Enhanced Support experts to continue to troubleshoot and mitigate issues as necessary.
“The response times to the questions and issues we had when going live was fantastic. It was the best experience with a tech vendor we’ve had in a long time.” — Raj Ramchandani, CEO, EyecareLive
With Enhanced Support at their side, EyecareLive was able to get up and running quickly in preparation for their international expansion by using Google Cloud’s prebuilt AI models, load balancers, and networking technologies that were designed to be easily deployed across multiple regions throughout the globe. “We know exactly how to implement data locality to scale our deployment into different regions and into different countries, because we’ve learned that from the Google Cloud support team.” — Raj Ramchandani, CEO, EyecareLive
EyecareLive then proceeded to rapidly scale their business, knowing that Google Cloud would ensure they could meet compliance standards in whatever country or region they expanded into.
“Since we’ve moved to Google Cloud and chose Enhanced Support, we’ve had 100% availability. That’s zero downtime, which is incredible.” — Raj Ramchandani, CEO, EyecareLive
Enhanced Support also provided the capabilities for EyecareLive to:
- Resolve issues and minimize any unplanned downtime to maintain a high-quality, secure experience for doctors and patients during and after migration
- Acquire fast responses to questions from technical support experts
- Learn from guidance from the Enhanced Support team beyond immediate technical issues
EyecareLive builds momentum toward their vision for eye-care telemedicine
By working closely with the Google Cloud Enhanced Support team, EyecareLive was able to successfully migrate their platform.
“If you ask any of my engineers which cloud provider they prefer, they’d all respond ‘Google Cloud,’” says Ramchandani. “The documentation is there, the sample code is there, everything that we need to get started is available.”
EyecareLive was then able to go on to grow and scale their business in the cloud in the following ways:
- Successfully managed a complex migration with minimal disruption and maximum availability, ensuring a consistent, secure, and compliant-ready experience for doctors and patients
- Gained the trust of both doctors and patients – they know that EyecareLive protects their sensitive medical data
- Kept EyecareLive agile and focused on innovating forward rather than building new features from scratch by supporting the team as they took advantage of Google’s tailored, plug-and-play technologies
- Analyzed performance over time to plan for future growth by partnering with Enhanced Support for the long term
“We know we can rely on Google Cloud from a security point of view. We love the fact that Google Cloud Healthcare solution is HIPAA compliant. Those are the things that make us trust Google to do the right thing.” — Raj Ramchandani, CEO, EyecareLive
With Enhanced Support, EyecareLive sees a bright future in the cloud
With the help of Enhanced Support, EyecareLive brings digital transformation to the eye-care in the healthcare industry by integrating the entire ecosystem of eye-care partners onto one platform making EyecareLive a leader in their industry.
Learn more about Google Cloud Customer Care services and sign up today.
4869
Of your peers have already watched this video.
1:30 Minutes
The most insightful time you'll spend today!
How does Google Pick its Data Center ?
Google is well known for its sustainable tech and hardware initiatives. Did you know alongside its environmental friendly designs of its data centers, it takes into account various factors such as redundant power supplies, data replication, network connectivity, etc. Watch the video to learn more.
More Relevant Stories for Your Company
Confused about Cloud? Here is a Primer to get all Your Doubts Answered
When you have decided on moving workloads to the cloud, the task of choosing the right cloud platform can be a tough one with many questions looming in your mind. From which specific product to choose from the plethora of options available to how and where to store your data
Evernote Ditches Private Cloud for Google Cloud and Improves Performance and Uptime
More than 200 million Evernote users now more securely store billions of notes and attachments—the equivalent of roughly 10 copies of every modern book ever published. The company’s private cloud was no longer enough to scale to support such a dynamic infrastructure, so Evernote migrated its service to Google Cloud
Google Cloud Helps DSW Engage Over 28M Shoe Lovers in Real Time
DSW Shoes turned to Google Cloud and Google Cloud Partner – Slalom to develop a realtime, engaging loyalty program that serves more than 28 million active members instantly. The major move from on premise to a cloud-based, data-driven platform that offers speed, flexibility, and scalability has helped increase DSW's new
What’s Google Cloud Firestore Database and What are it’s Benefits for Business and Developers?
Cloud Firestore is a NoSQL document database that simplifies storing, syncing, and querying data for your mobile and web apps at global scale. Cloud Firestore is a fast, fully managed, serverless, cloud-native NoSQL document database that simplifies storing, syncing, and querying data for your mobile, web, and IoT apps at
