The days of pilots and proof of concepts for machine learning are over. Businesses want real business value from Machine Learning projects.
And they want it now. The key question for Data Scientists is therefore how to productionise your machine learning models. The insights from this session will help you determine your data and platform, people and process capability gaps, enabling decisions to be made that will support a roadmap of activities to deliver value from your ML models.
Join us for a thought-provoking session!
In this engaging and insightful webinar, we will look at the common challenges faced by organisations getting to value from ML models, and real world advice on how to approach and tackle these problems.
Specifically we will explore:
- An overview of what ML Ops is;
- The typical challenges that organisations face deploying ML Ops;
- Review of best practices ML Ops and lessons learnt;
- Q&A discussion
WHEN
Wednesday 16th August 2023
11am for 60 minutes
Our Guest Speakers
Learn from InfoCentric’s seasoned information management experts, who will share valuable insights and experience working with leading Australian organisations.
Our experts will include:
Conor Curley
Data Science Practice Lead
Conor has extensive experience leading the delivery of end-to-end Data Science projects from brainstorming to production deployment. Conor is passionate about growing ML capabilities, works seamlessly with business stakeholders, and he is endlessly enthusiastic about how Data science can unlock previously unseen solutions to complex problems.
Michael Power
Head of Advisory Services
Michael works with our clients to articulate real business value from strategic data analytics investments. As the leader of the Advisory practice he also reinforces a consistent focus on business adoption of foundational information management practices.