The best of warriors can’t fulfil their mission without the right armour. Data scientists have their own ammunition – Machine Learning (ML) software. Whether it is detecting anomalies in clinical processes, declining a transaction for risk or fraud, to loan approvals, product quality control, insurance claims and anything where data plays a role, automated analytical models are what accelerate digital transformation.
With time-to-value always in mind, a key goal is to intelligently automate and fast-track design and deployment of models in every possible way to allow for multi-fold agility in the entire ML Lifecycle.
In this webinar, Sridhar Mudugu, Head of Technology at GainInsights explores a comparative view of traditional vs. a platform-led approach to prototype, build and deploy automated Machine Learning models with at least a 5X agility and improved collaboration amongst stakeholders in Data Science/Analytics projects.
How organizations can be exponentially efficient and productive by:
The webinar will cover a new approach enabled by GainInsights in the areas of Data Preparation and Exploration, Model Building, Feature Handling, Model Management, Scoring and Visualization, Model Governance and Consumption.