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.

Driving 5X agility in Data Science Projects

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.

What’s covered in this webinar

How organizations can be exponentially efficient and productive by:

• Automating repeated steps throughout the analytics process
• Incorporating best practices as re-usable templates for rapid prototyping
• Optimizing workloads for improved speed
• Seamlessly deploying analytical models in a single click
• Governing models with optimum health at all times

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.

Who can benefit?

• Data Science/Analytics Leaders who have invested or plan to invest in AI/ML projects
• Data Scientists who are keen to explore newer, faster ways to build and manage models
• IT Leaders and Managers
• Business Intelligence and Analytics Professionals