See how the world’s leading companies are using Parabole’s machine teaching platform to power their digital transformation.
The bank uses Parabole to build cognitive models to analyze third-party contracts and assess performance risk across different cost centers and geographic operating environments.
Manual analysis of the contents within master service agreements, statements of work(SOW), subsequently establishing connections with project charters, key performance indicators, and management reports is an inefficient and costly exercise.
Parabole’s TRAIN enables the bank to create cognitive models for vendor contracts covering subjects such as software agreements, staff augmentation agreements and real estate contracts, which extract key performance metrics and their dependencies to create a risk monitoring dashboard.
The resultant smart application is used by the vendor risk management groups to track vendor performance, their dependencies and monitor performance risks on a daily basis.
Machine training time
No. of Contracts
The bank uses Parabole to custom train their AI on The office of Foreign Assets Control (OFAC) framework for building a robust Sanctions Compliance Program (SCP). The AI models generated by Parabole helped the bank to build a compliance solution that enables the classification and extraction of regulatory obligations.
Historically, our client has manually coded ontologies and training models; this process has taken 18 months and has not gone into production.
With TRAIN, the bank was able to build cognitive models on the OFAC sanctions compliance framework and build a regulatory impact assessment solution to analyze procedures and policies through the lens of their SCP.
The resulting smart app helps internal audit teams to scan thru policies and procedures and to find the root cause. The same solution could be trained on different regulatory regimes and business domains.
Machine training time
Data labelling effort
Asset Management Company
A global AMC uses Parabole to detect strategic signals from articles, publications and company disclosures to power investment decisions.
With 1000’s articles, publications, research papers, 10K’s, and regulatory updates every day, keeping up with trends on sustainability, corporate actions, product intelligence, competitive intelligence, risk intelligence is time-consuming and tedious.
Using Parabole, the company trained its ML models by infusing client’s investment and risk strategies to generate real-time signals as they appear.
The resulting smart app enables research analysts to search relevant information in a few clicks as well as monitor strategic events resulting in broader coverage and improved decisions.
A large manufacturing conglomerate uses Parabole to automate RFP responses to accelerate deal closures and improve sales performance.
Typically, RFP response times are 2-3 days, as responses require the commercial team to check for product availability, product description, pricing, component mix, production plan, freight rates, delivery locations and profitability.
TRAIN was used to build the enterprise knowledge graph for automating scenario modelling and to generate real-time RFP responses.
Lower response time leads to faster deal closure and increased sales.
Faster RFP response
Improved order execution rate
Improvement in Customer satisfaction score
The client uses Parabole’s Digital Twin platform for building a product master that will have a data-driven decision tree classification for design optimization and product portfolio management.
Designing an engineering product requires extensive knowledge about the product, its components, its technical limitations, and manufacturing processes. This process requires the expert to have a 360′ view of all dependencies and is time-consuming.
Parabole helped build a Product Search Master using a series of twins which enhances the product portfolio design process by eliminating the need for exhaustive manual searches of all possible product concept combinations, saving costly design hours.
The resulting cognitive search app enables designers to search and visualize product concepts, their groupings, their alternatives, and associated dependencies in few seconds resulting in faster search and improved design decisions.
weeks of machine teaching
Time to search product decision tree