7 Considerations for Maximizing ROI on AI/ML Investments

Based on our experience spanning multiple industries, we have identified key considerations which can help any implementation of AI/ML be much more efficient, leading to a successful adoption (as compared to AI technology “sitting on the shelf”) and enhanced return on investment. In this step — in addition to the usual data cleansing, data integration, use of AI tools such as Natural Language Processing to incorporate structured data, judicious and creative feature engineering, creating the training and test data, etc. — it is also important to consult with the business stakeholders and the legal team to ensure that the data/features being used in the model comply with any relevant regulatory frameworks and laws (e.g., Fair Lending). Scott Laliberte Managing Director – Emerging Technologies Global Lead, Protiviti Lucas Lau Senior Director – Machine Learning and AI Lead, Protiviti Arun Tripathi Director – Machine Learning and AI, Protiviti