Presented by
Ramesh Dontha, DX Pro | Kfir Yeshayahu, Veritone | Christopher Bergh, DataKitchen | Alok Aggarwal, Scry Analytics
MLOps & ModelOps: What’s next?
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
Veritone, Inc.
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Veritone - THE LEADING ENTERPRISE AI PLATFORM
Veritone is a leader in enterprise AI software, services, and applications, helping companies transform their operations and solve the complexities of digital information today. With our AI solutions and rich partner ecosystem, our customers can address their current and future challenges, empowering them to run more efficiently, accelerate decision making, and gain a competitive edge.