Google Cloud Document AI
Google Cloud offers adaptable and scalable solutions for adaptive AI like Google Document AI, Translation AI, Contact Center AI and more in the public sector.
The public sector has particular difficulties because of its limited resources, complicated rules, and changing constituent needs. Emerging as a game-changer, artificial intelligence (AI) offers a means to improve decision-making, expedite processes, and provide more significant services. However, AI must be customised to fulfil your objective in order to be genuinely effective. This article will discuss how Google Cloud’s AI solutions are tailored to the particular requirements of the public sector and how they are already having an impact on businesses just like yours.
AI that changes to suit your goals
With its unified technology stack, Google AI for Public Sector provides an extensive, integrated toolkit to address every facet of your AI journey. Because of its flexibility, you can:
- Begin small, expand large: Google AI can grow with your demands, whether you’re launching a mission-critical solution or piloting a new initiative.
- Tailor to your challenges: There is no one-size-fits-all approach with Google AI. It is intended to be customised to meet the unique objectives and limitations of the public sector.
- Change as your workflows do: Google AI solutions may be customised to deliver individualised experiences as your data changes and new problems emerge, guaranteeing that your apps stay useful and current.
Impact of AI in real life
The potential of adaptive, flexible AI is not limited to theory. This is how it’s starting to have an effect:
Document AI Google
Dearborn, MI: By utilising Google’s Translation AI, the city improved responsiveness, offered linguistic accessibility, and turned into a national leader in digital transformation. Over half of the city’s residents speak a language other than English at home, so in order to better serve its diverse population, the city partnered with Google Cloud to offer 24/7 online access to critical services in multiple languages, removing barriers and enabling citizens to engage with their government on their terms. Contact Centre AI-powered virtual agents provide individualised service, and Document AI and Translation AI aid in accessibility. The workforce in the city has also undergone this change, and they now have access to Google Workspace and Google Cloud certification options.
Government agencies and educational institutions in New York are utilising AI, particularly generative AI, at the state and local levels to guarantee robust cyber resilience, improve services and results, and improve the resident experience.
- New York’s Sullivan County: Leading the world in AI-powered citizen services is a small, rural county. They quickly implemented a generative AI chatbot across more than 40 departments by utilising Google Cloud’s Vertex AI, which streamlined solutions to frequently asked questions, freed up employees for more difficult jobs, and resulted in a 62% decrease in call volume.
- Department of Labour for New York State (NYSDOL): The virtual agent and their “Perkins” chatbot, which are available around-the-clock in 13 languages, have greatly enhanced accessibility and user experience while lightening the workload for NYSDOL employees. The Merrill Baumgardner Innovation in Information Technology Award was given to NYSDOL in recognition of its creative application of Google AI on a national scale.
Google Document AI
Develop document processors to enhance data extraction, automate time-consuming operations, and extract deeper meaning from structured and unstructured document data. Developers may design high-accuracy document extraction, classification, and splitting processors with the use of Google Document AI.
Try Document AI free
- New users can test Document AI and other Google Cloud products with a $300 free credit.
- Utilise a pre-built, Google-recommended method to summarise lengthy documents using generative AI.
- Connect to BigQuery, Vertex Search, and further Google Cloud products with ease.
- Enterprise-ready and backed by Google Cloud’s promises on data security and privacy
- Designed with developers in mind; quickly design document processors using the UI or API
Advantages
Quicker time to value
Utilise generative AI to categorise documents or extract data right away; no prior training is required. To get structured data, just publish a document to an enterprise-ready API endpoint.
Increased precision
The most recent foundation models that have been optimised for document tasks power Google Document AI. Furthermore, the platform’s robust fine-tuning and auto-labeling tools offer a multitude of paths to attain the required precision.
Improved judgement
Using generative AI, organise and digitise information from papers to gain deeper insights that can aid in decision-making for businesses.
Google Document AI Features
Utilise generative AI to process documents.
AI Workbench Documentation
AI Document Building custom processors to separate, classify, and extract structured data from documents is made simple using Workbench. Because Workbench is powered by generative AI, it can be utilised straight out of the box to produce precise results for a variety of document types. Additionally, with just a button click or an API request, you may fine-tune the huge model to a better accuracy by submitting as few as 10 documents.
Business OCR
Users can access 25 years of Google optical character recognition (OCR) research with Enterprise Document OCR. OCR uses models that have been trained on business documents to detect text in more than 200 languages from PDFs and scanned document pictures. The software can recognise layout elements including words, symbols, lines, paragraphs, and blocks by looking at the document’s structure. Best-in-class handwriting recognition (50 languages), arithmetic formula recognition, font-style detection, and the extraction of selection marks such as checkboxes and radio buttons are examples of advanced functionality.
Parser for Forms
Form Parser is used by developers to organise data in tables, extract general elements like names, addresses, and prices, and collect fields and values from standard forms. This tool is suitable for a wide range of document customisation and functions right out of the box, requiring no training or customisation.
Trained beforehand
Test out pretrained models for the following frequently used document types: W2, paystub, bank statement, invoice, expense, US passport, US driver’s licence, and identity verification.
Google Document AI Use cases
To support automation and analytics, extract data
By collecting structured data from your papers, Google Document AI Workbench may be used to automate data entry. The mail office, shipping yards, mortgage processing departments, procurement, and other areas are typical applications. Make business decisions with greater effectiveness and efficiency by using this data.
Use BigQuery to find insights hidden in documents
Now, you can import document metadata straight into a BigQuery objects table. Integrate the parsed data with additional BigQuery tables to create a cohesive set of organised and unstructured data, which will enable thorough document analytics.
Sort papers into categories
Documents are made easier to handle, search, filter, and analyse when they are assigned classifications or categories when they enter a business process. Machine learning is used by Custom Splitter and Classifier to precisely forecast and classify a single document or several documents inside a file. Utilise these products to increase document process efficiency.
Make apps for document processing more intelligent
With generative AI, SaaS clients and ISV partners may swiftly enhance and grow their document processing offerings. Customers can advance document apps using a basic API prediction endpoint and document response format.
Text digitization for ML model training
Text may be digitised for ML model training using Enterprise Document OCR, which allows users to extract value from archival material that would not be suitable for ML model training otherwise. OCR facilitates the extraction of text from scanned charts, reports, presentations, and documents before they are saved to a data warehouse or cloud storage account. Make use of these excellent OCR outputs to speed up your digital transformation projects, such building business-specific ML models.
Boost corporate potential with generative AI
Using generative AI, increase business capabilities. Gather document data to create new generative AI frameworks and architectures. By combining OCR with the Vertex AI PaLM API, users may extract useful information from documents and use it to create new documents, automate document comparisons, and even create document Q&A experiences.
Google Document AI pricing
For all of your needs related to processing documents, training models, and storage, Document AI provides clear and affordable pricing. See Google’s price page for further information.
