Cost Savings Strategies in Data Science: How to get the most value and stay on budget

Data science is a critical tool for businesses. With Domino, your team can gain insights, make informed decisions, and develop AI models to accelerate innovation. However, as much as it is impactful, data science can also be costly. Expenses escalate when managing and processing large amounts of data on powerful hardware. This webinar will cover cost-saving strategies to help your projects stay on budget.

We will explore cost savings opportunities across the data science lifecycle. We will touch on data acquisition, storage, and processing approaches that minimize spending without compromising data quality. In addition, we will cover topics such as efficient model deployment, cost tracking, model monitoring, and reproducibility.

Finally, we will provide real-world examples from companies that successfully contained data science project costs. We will share tips and best practices you can apply to your business to achieve similar results.

Whether you are a data scientist, a business executive, or an IT professional, this webinar will provide valuable insights and practical advice that you can implement today on your data science initiatives. Join us to learn how to maximize your data science investments and drive business success.

Domino automatically scales compute clusters based on the workload to simplify provisioning, optimize utilization, and manage computing costs so you can maximize the productivity of your teams and of the return on your computing investments.