“So you’ve created an ML model, but what next?” MLOps in a nutshell
During the presentation, participants had the opportunity to explore the process through which the machine learning (ML) model in the business context, learn about popular ML models used in companies and techniques that are recognized in the professional environment. The speaker also explained how to translate complex machine learning concepts into a language understandable to non-professionals, which allows for wider use of these technologies in the organization. Jacek, sharing his personal experiences, also gave advice on how to effectively function as a data analyst and how to gain recognition in this field.
Gaining knowledge about popular ML methods and models used in enterprises allows students to better prepare for the requirements of the labor market and understand what solutions are most valuable for business. The ability to translate complex machine learning concepts into non-technical people is essential to enable effective collaboration between different departments within an organization and maximize the benefits of ML. In addition, valuable advice from experienced specialists can help students shape effective strategies for working as Data Scientists, which increases their chances of success and recognition in the industry.
The meeting took place on January 16, 2024. The organizer of the meeting is the SRG Data Science.