Implementing AI TRiSM in Agentic AI Systems: A Guide to Enterprise Risk Management
A practical guide to implementing AI TRiSM in agentic AI systems for secure, compliant, and trustworthy enterprise AI deployment.
Discover how leading companies use Innodata’s solutions and platforms to turn data into a valuable commodity.
Objective
A leading scientific information provider required labeled data for content related to drug discovery and research funding.
Solution
Results
Objective
Post-market adverse drug reaction surveillance is a mandatory regulatory responsibility of pharmaceutical companies. The adverse reaction data is hidden in the scientific content published in research journals.
Thus, a leading pharmacovigilance platform required labeled datasets for training AI models based on this information in order to help its clients improve their drug safety workflow processes.
Solution
Results
Objective
A leading AI photography platform required annotated data for photographs. In order to teach the tool to recognize “context” from its photos, the company needed large volumes of footage with detailed labeling, and required it within 24 hours.
Solution
Results
Objective
A global financial institution was facing millions of dollars in penalties due to non–compliance issues. Therefore, our client needed custom regulatory data feeds to support their global compliance teams.
Solution
Results
Objective
With a massive volume of industry-specific contracts being signed by multiple parties, it’s paramount that our client is able to stay informed of the latest changes in order to stay compliant with regulatory changes.
Solution
Results
The data created by our SMEs has been successfully used within predictive analytics systems in investment banks for regulatory compliance/margin management/risk management.
Objective
A leading US publisher needed to extract specific data points from contracts while taking a systematic approach to rights management for managing risk.
Solution
Results
The data points are ingested into the contracts intelligence platform to enable descriptive and predictive analytics for more precise contract risk management.
Objective
A leading business intelligence enterprise wanted to maintain a competitive edge in the marketplace by offering the most up-to-date company information to help its customers guide decision making and stay ahead of industry trends.
Solution
Results
Objective
One of the most respected advisory firms sought to overhaul its database with clean, accurate, verified business information.
Solution
Results
Objective
A global database provider wanted to increase coverage of its product database with updated information and create comprehensive product descriptions and company profiles for target suppliers from various industry domains to enhance searchability.
Solution
Results
Objective
Our client needed to adopt open industry standards for metadata management, ensure interoperability with vendors and third party aggregators and publish adopted and originated standards content in a timely and effective manner.
Solution
Results
Objective
A renowned global geospatial information provider tasked us with implementing more efficient processes and workflows to ensure the delivery of critical geophysical intelligence to the market in a timelier manner.
Solution
Results
Objective
One of the world’s most respected professional associations relied on a high degree of manual labor to deliver bibliographic information in industry standard XML formats and needed to eliminate inefficient business processes.
Solution
Technology modernization & process consulting – Workflow integration with Content Management System (CMS) enabling role-based access and cross-functional user task flow.
Source acquisition and ingestion fully automated.
Remodelling of data and introduction of modular entities to achieve linkage and eliminate redundancy.
Creation of XML Schema for each of the entities to standardise feed ingestion from various sources into a unified format.
Results
Increased productivity through improved business processes performed through centralized workflows.
Increased automation – reduction in TAT by 30%.
Smart & linked content achieved through efficient data model.
Hassle free & fully automated delivery to various distribution partners in requested formats.
A practical guide to implementing AI TRiSM in agentic AI systems for secure, compliant, and trustworthy enterprise AI deployment.
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