Use AI to reduce manual labor and unlock value through extraction, classification, and discovery of your data
A recent study estimated that as much as 52% of all data stored globally has unknown, unrealized value. Human capital is too valuable to spend time on manual processes such as extracting content from unstructured data. The automation of tedious and error-prone work can free up smart people to do higher-level work. Document lookup and data extraction, classification, and structuring are examples of common use cases across many fields: in healthcare for unstructured patient notes, in manufacturing for engineering drawings, in legal for case documents, and in financial services for tax and insurance documents.
Knowledge work is a high-value domain that benefits greatly from improvements in this area, and AWS’s suite of AI services provide the fast, scalable, and cost-effective tooling to help organizations effectively redistribute brainpower to higher-order tasks. Pariveda offers a custom serverless solution that leverages AWS’s suite of AI technologies such as Amazon Comprehend Medical, Amazon Textract, and Amazon Transcribe to extract structured information from your unstructured data and improve processes around your most labor intensive activities.
For example, Knowledge Work Automator can be used to aid clinicians by enhancing provider decision-making systems with a richer data set, including symptoms, signs, and diagnoses found only in unstructured notes.
Availability
United States, Canada
Benefits
Unlock Rich Value
Tap into your organization’s underutilized data reservoir for key insights.
Reimagine Excellence
Elevate the contributions of knowledge work to new heights.
Fast Results
Realize benefits in weeks not months.
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How it works
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Key activities
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Customer contribution
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About this consultant
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Architecture diagram
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How it works
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The first stage in Pariveda's deployment is discovery and process identification, when its team works with your team to determine which processes include unnecessary manual steps and present the most potential value. Pariveda considers what types of data sources are included and what costs are associated with human processing of that data to assess whether Knowledge Work Automator can alleviate those costs. In building a deployment plan and reference architecture, Pariveda accounts for which AI services are the best fit, and the nature of all operational, security, reliability, performance, and cost considerations.
As development against the target use case and reference architecture begins, Pariveda adds focus on change management, communication planning, training, and enablement. Pariveda identifies the best holistic approach to integrating and introducing the solution into your organizational systems, roles, and accountabilities. Depending on your organization, Pariveda may take a multi-pronged approach to training and enablement including white-glove and self-service approaches.
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Key activities
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1) Use Case Workshop
Collaborative session with stakeholders to determine highest-value use cases.
2) Project ExecutionIterative build-out of working data extraction.
3) Change ManagementChange management and communication planning activities to ensure adoption.
4) Iterative Ramp-UpConstruction and scaling of secure, compliant, production-ready system within your environment.
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Customer contribution
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Leadership and Team Collaboration
Appointment of project sponsor, technical, and business personnel.
Facilities, Systems, and Security Access
Access to facilities, systems, and unstructured/required data sources as required for use case. Can be done fully remotely as needed.
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About this consultant
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Pariveda Solutions is an AWS Partner with Machine Learning and Data & Analytics Competencies.
Pariveda Solutions is a leading management and technology consulting firm specializing in improving clients’ performance through strategic consulting and the innovative use of technology. Its cloud services include solution architecture, cloud application delivery, big data solutions, mobile/IoT, DevOps automation, data center transformation, and cloud advisory services.
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Architecture diagram
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Related Resources
AWS Partner Highlights
Pariveda’s AWS validated qualifications, customer references, and office locations.
AWS Competency Details
Pariveda has demonstrated deep AWS technical expertise and proven customer success.
Blog Post
How Natural Language Processing can Uncover Value from Unreachable Data in the Modern Medical Ecosystem
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