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Selecting the Data Science Approach for Your Operations
More than ever, organizations are seeking to enhance their IT Operations by finding the right way to harness data science and machine learning. The promise of these new techniques is awesome: to automative repetitive tasks so teams can focus on innovation and surface actionable insights that help teams make smarter decisions. However, many teams struggle with the challenge of applying machine learning to their operations in a way that is agile, practical, and not overly costly on time and resources.
In this webinar, we’ll answer key questions such as:
- What should you look for in a machine learning solution?
- How do you know whether to build vs. buy?
- What insights into your service health should your data science answer?
Selecting the Data Science Approach for Your Operations
Watch On-Demand Now
More than ever, organizations are seeking to enhance their IT Operations by finding the right way to harness data science and machine learning. The promise of these new techniques is awesome: to automative repetitive tasks so teams can focus on innovation and surface actionable insights that help teams make smarter decisions. However, many teams struggle with the challenge of applying machine learning to their operations in a way that is agile, practical, and not overly costly on time and resources.
In this webinar, we’ll answer key questions such as:
- What should you look for in a machine learning solution?
- How do you know whether to build vs. buy?
- What insights into your service health should your data science answer?
Meet our speaker:
![Lilia Gutnik](https://www.pagerduty.com/wp-content/uploads/2018/05/l-gutnik.jpg)
Lilia Gutnik
Sr. Product Manager, Data Experience
PagerDuty