SAS® ModelOps Workshops
Wellington, Monday 27 November (10 a.m. and 2 p.m.)
Auckland, Tuesday 28 November (10 a.m.)
Developing and deploying models in a variety of technologies from open source (R and Python) to SAS can have its challenges:
- Analysts often arrive with skills that are open source strong, but this can result in siloed and difficult-to-manage analytics environments.
- Organisations have difficulty managing ever-increasing sets of models, tools and their dependencies.
- Increased risk in managing open source models from inception to deployment if there are no controls – with regulator pressure to ensure this risk is mitigated.
- Lack of automated model monitoring for degradation and no formal evaluation and retirement process.
- Without governance, key stakeholders hold off on deployment of models and often value isn’t realised at all.
How can SAS® Viya® help?
SAS Viya can address the problem of siloed open source model development and has multiple open source integration points to centralize and automate model development, management and deployment.
SAS has invested significant R&D into accommodating a variety of users who develop and manage models in their environments of choice. Therefore, developers do not need to change their process other than to add SAS Viya as an endpoint to their development process or directly use the SAS Viya open source functionality, if they choose.
Join one of our workshops to learn more about governance with SAS Viya, try it hands-on and navigate some of the increasing complexities of a rich technology ecosystem and very diverse analytical skill sets.
The workshops will be hosted in-person by our regional SAS senior ModelOps expert, who has a wealth of hands-on experience in SAS and open source:
Yi Jian Ching
Senior Solutions Architect
Yi Jian Ching is a Senior Solutions Architect within the Cloud, Data & Analytics Practice at SAS for Asia Pacific. Based in Sydney, Yi Jian is in an advisory role where he helps organizations drive value from their analytics. Yi Jian advises and provides technical expertise on key topics such as ModelOps, responsible AI, analytics, machine learning and decisioning. More broadly, Yi Jian has advised SAS clients across industries from banking and telecom to government agencies across Asia Pacific in ways they can operationalize models at scale.
Who should attend?
This event is free to attend for data scientists and analytics team leaders who use open source and/or SAS for model development.
When & Where
Wellington
Two workshops are available on Monday 27 November (10 a.m. and 2 p.m.)
Duration: 2 hours, in-person
Location: SAS, Level 12/89 The Terrace, Wellington Central, Wellington 6011
Auckland
One workshop is available on Tuesday 28 November (10 a.m.)
Duration: 2 hours, in-person
Location: SAS, Spaces Shared Office, Level 17, PwC Tower at Commercial Bay, 15 Customs Street West, Auckland 1010
Spaces are limited. Please register for the session that best fits your location and schedule.
Questions?
Please contact:
Grant Beets
Account Executive – SAS Institute New Zealand
Tel: + 64 21 143 3269
grant.beets@sas.com
This event is no longer available for registration.