AI is eating the world, bringing industry-specific benefits and challenges
Modern enterprise and consumer software companies collect billions of data points every day to build intelligent applications that are making increasingly valuable decisions like setting prices, optimizing sales pipelines, and guiding customer interactions.
Robust Intelligence offers an ML Integrity framework generalizable to internet-scale data, ensuring that these mission-critical models remain robust in production. ML increasingly lies at the heart of such business models, and ensuring such models are robust to production failures is crucial to the bottom line.
Banks, payment processors, and other financial services firms use ML models in crucial decision-making processes such as fraud detection, credit decisioning, and algorithmic trading.
Robust Intelligence empowers data science and risk teams within financial services organizations to manage the unique challenges of the space. Financial service companies have traditionally been at the forefront of commercializing machine learning at scale, and thus have mature risk teams that understand the impact of ML Integrity. In addition, financial services companies operate within a tightly regulated space, and ML compliance efforts are simplified with Robust Intelligence.
Insurance companies face unique challenges in developing and deploying machine learning models. They not only use ML to improve their risk models, but they are offering coverage for the potential failure of their customers’ ML models, and so must be able to effectively price risk in these models.
Robust Intelligence provides insurance companies with a comprehensive testing suite for measuring the vulnerabilities of a given model. This capability enables insurance companies to understand the weaknesses of their internal risk models and suggests actions for improvements. Further, this capability allows insurers to measure the vulnerabilities of their customers’ ML models in order to better price AI Risk insurance policies. Finally, as regulations arrive in the Insurance industry and in the broader financial services ecosystem, customers can use the automated compliance testing offered by the RI Platform to check for adherence to various regulations.
AI is transforming the government, but several unique challenges impede wider adoption. The Robust Intelligence Platform is uniquely designed to address these challenges and unlock the true potential of AI for the American government, the US military, and all relevant contractors.
The Robust Intelligence platform has various features that enable easy deployment into the secure environments required for government use. RI’s On-Prem solution ensures that your models and data never leave your network. Whether you need deployment to C2S, air gapped networks, or anything of the sort, RI has the experience to ensure smooth integration to your requirements. In addition, the RI Platform provides contains testing and blocking of adversarial attacks, ensuring that government customers remain at the forefront of this mission critical field.
With increased automation of candidate screening and human resources workflows, AI has completely changed the landscape for HR management companies. These new applications are helping companies scale faster and more efficiently.
Robust Intelligence provides users with an auditable machine deployment that offers immediate compliance with the latest regulatory guidelines. Our offering is configured with custom fairness and bias test modes as well as data and model governance and management best practices that simplify compliance and hold models to the highest standards.
From payers and providers to pharmaceutical and medical device companies, machine learning is being harnessed to accelerate innovation and deliver better patient outcomes.
Robust Intelligence gives healthcare and life science companies the confidence to advance their ML initiatives. There is no room for failure when making decisions that might impact people’s health and safety. We help eliminate risk at every stage of the ML lifecycle and provide reports to help you document regulatory compliance.