MLOps & ModelOps: What’s next?

Presented by

Ramesh Dontha, DX Pro | Kfir Yeshayahu, Veritone | Christopher Bergh, DataKitchen | Alok Aggarwal, Scry Analytics

About this talk

AI and machine learning are closely linked to digital transformation, and is perhaps why 2021- a year of immense business transformation - has seen such a shift towards MLOps and ModelOps. In fact, according to a recent IBM survey, 21% of respondents said that AIOps had a “transformational” relationship between IT and other parts of the business. Some key takeaways from organisations implementing MLOps include observability and end-to-end visibility, automation of complex processes, and support on the cloud. Evidently, MLOps and ModelOps can have a real impact on the relationship between moving parts in the organisation, and done right, can have a transformative impact on your business. Join us in this session as we discuss: - How MLOps and ModelOps have impacted transformation efforts in 2021 - Best practices for implementing MLOps in your organisation - Overcoming challenges when it comes to implementation - ModelOps challenges and how to overcome them - What’s next for MLOps and ModelOps as we move into 2022

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