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With Businesses moving towards more matured adoption of AI, the need for building more custom and tailored solutions become critical.

And, as a consequence of this, an MLOps platform should be ‘scalable’ to meet the requirements without compromising on the best practices of DataOps, DevOps, and Model management.

This webinar invites views from industry practitioners and licensed MLOps platform vendors to come on one platform to discuss at length about ‘Scaling with MLOps’.

We get to hear views on ‘requirements’ vs ‘deliverables’ on technology, data, talent, and pricing.

This session will be an open-house where attendees can ask their questions and our guests will be answering them.

This webinar is meant for businesses who either have a home-grown or a licensed MLOps platform or in process of zeroing on one such platform.

We invite CIOs, CTOs, Chief Data Scientists, Chief Data Officers, Data Scientists both aspiring and experienced to be part of this webinar.

Presenting Partner

xpresso.ai enables to manage, build and automate the entire AI/ML application lifecycle from research to production with an integrated unified platform.

With security, governance, and compliance as the core foundations of the platform, xpresso.ai relieves data scientists from the concerns of DevOps and Deployment, leaving them to focus on doing what they do best – building models and algorithms.

With the financial markets at the cusp of a data revolution, these organizations have a huge opportunity to overcome complex challenges with AI-driven solutions.AI and machine learning also present an unmatched opportunity for banks to enhance the client experience, gain market share, and reduce costs while staying compliant with regulations and fighting financial crime.

Explore xpresso.ai’s use cases to discover how this integrated platform can accelerate the time to AI solutions across industries, driving value and impact.

Visit us at www.xpresso.ai

Our Enthusiasts Speaking

R. Krishna Kumar

R. Krishna Kumar

EVP Engineering & Country Head

Abzooba
Nollie Maoto

Nollie Maoto

Executive Head of Business Intelligence, Analytics, Planning and Monitoring

FNB
Dino Bernicchi

Dino Bernicchi

Head of Data Science

HomeChoice International PLC
Ruan Wannenburg

Ruan Wannenburg

CIO

Rand Merchant Bank

Topics to be discussed

What challenges does MLOPs address?

Four critical deciding factors for an MLOps

What to look out for in an MLOps platform?