Document Processing · Enterprise Knowledge Search · IT Operations Automation · Risk Management · Security and Compliance
Training and deploying these models was a lengthy, costly process, which limited access to this set of capabilities to larger companies. While InfoCert was searching for a way to streamline such ML integrations, AWS invited the company to preview Amazon Bedrock , a fully managed service that can be used to build and scale generative AI applications with foundation models. “Using Amazon Bedrock, we have the opportunit
Reported impact
As a leading provider of qualified trusted solutions in Europe, InfoCert helps companies keep their communications secure. Its Legalmail solution helps businesses verify the authenticity and legal validity of their email exchanges, which is critical for meeting compliance standards.
As a leading provider of qualified trusted solutions in Europe, InfoCert helps companies keep their communications secure. Its Legalmail solution helps businesses verify the authenticity and legal validity of their email exchanges, which is critical for meeting compliance standards. InfoCert Streamlining ML Integrations Using Amazon Bedrock Previously, InfoCert built custom ML models to help classify and process emails and attachments for each Legalmail customer. The new solution, IMCR AI, uses generative AI to offer a unified workflow suitable for customers with small-to-moderate information extraction needs. “By combining Amazon Bedrock’s generative models with prompt engineering, we get preliminary results that are very close to what we achieved with the previous solution, which required months for data preparation, model training, and rules definition,” says Leoni. While InfoCert was searching for a way to streamline such ML integrations
As a leading provider of qualified trusted solutions in Europe, InfoCert helps companies keep their communications secure.
By using generative AI, the company is streamlining access to innovative document and email processing features and paving the way for more efficient machine learning (ML) integrations.
Its Legalmail solution helps businesses verify the authenticity and legal validity of their email exchanges, which is critical for meeting compliance standards.
To enhance the efficiency and scalability of Legalmail’s features—and to make them available to more customers—InfoCert adopted generative artificial intelligence (AI) capabilities from Amazon Web Services (AWS).
Training and deploying these models was a lengthy, costly process, which limited access to this set of capabilities to larger companies.
While InfoCert was searching for a way to streamline such ML integrations, AWS invited the company to preview Amazon Bedrock , a fully managed service that can be used to build and scale generative AI applications with foundation models. “Using Amazon Bedrock, we have the opportunit
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
The legal notice states "Registered Office: Piazzale Flaminio 1/B, 00196 – Rome (Italy)."
The Organization JSON-LD lists addressLocality 'Roma', and addressCountry 'IT', and numberOfEmployees value 447.
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