Building AI / ML models in a hybrid ecosystem

Focused business man working at laptop with SAS® Optimization software

WEBINAR SERIES

Model Ops and Enterprise Decisioning

On-Demand Sessions

Webinar 1

Building AI / ML models in a hybrid ecosystem

A diverse array of professionals - from data science professionals, programmers, statisticians to business owners - aspire to harness the power of AI/ML models to tackle complex business challenges. Amidst this technological abundance, the question arises: How can we hone our skills to not only master the craft but also unlock substantial business value?

Watch now Building AI / ML models in a hybrid ecosystem

Webinar 2

AI/ML Model Governance and Operationalisation

Building an AI/ML model is just the beginning. Discover the intricate web of ModelOps and Governance, essential for sustaining model performance and aligning with organisational goals. Join us to explore how these principles shape the journey towards model excellence and better governance.

Watch now AI/ML Model Governance and Operationalisation

Webinar 3

Empowering Enterprise Decision-Making through Data Science

In the modern landscape, data-driven decision-making is paramount. However, the journey from data to impactful decisions is complex, involving a symphony of business rules, API calls, model scoring, and real-time database interactions. Join us as we unravel the process of transforming data into actionable decisions, unlocking the potential for tangible business impact.

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Speakers

Prashant Roy
Senior Consultant- Analytics & AI, SAS

Prashant Roy brings a decade of analytics and AI expertise specialising in helping organisations optimise their data investments through the application of data science, AI, and machine learning. He has extensive experience in implementing ML techniques, ModelOps, Model governance framework, and Ethical AI principles. He holds a Master of Technology degree in Embedded Systems from Vellore Institute of Technology.

Xin Ru Lee
Sr Solutions Architect - Asia Pacific,
Global Technology Practice,
SAS Institute Pte Ltd

Xin Ru Lee is a Data Scientist for AI & Analytics practice at SAS Institute for Asia Pacific. Through innovative analytics and AI, SAS empowers and inspires customers around the world to transform data into intelligence.

In her role at SAS, Xin Ru advises customers and partners to solve business problems with advanced analytics and data science across Asia Pacific region. She is passionate about enabling the end-to-end model operationalisation process for organisations. Her data science experience involves applying AI & machine learning on areas like credit risk decisioning, financial crime analytics, optimisation, and climate prediction. She is also a part of cohort leading Generative AI initiatives at SAS.