Every day you make decisions that affect your business. Because analytically driven decisions are better decisions, incorporating analytics into your decision making processes enables you to make the best choices every time – even when making thousands or millions of them each day. This requires operationalising analytics at scale – and SAS can help you to derive value from your data science efforts.
Come and visit SAS at the Gartner Data & Analytics Summit 2020 and meet with our experts in artificial intelligence (AI), machine learning and advanced analytics. Our team are here to talk you through how you can achieve excellence in analytics and how together with SAS you can get from data to value faster.
DECISIONING - The Key to Successful Digital Transformation
Monday, February 17 | 15:00 - 15:30
Deepak Ramanathan
Sr. Director, Customer Advisory, Asia Pacific
Session synopsis:
Organisations undergoing digital transformations are a complex ecosystem. As the pace of decisions increases, finding the optimal degree of human interaction in decisioning cycles, while balancing cost, risk, capital, interpretability and outcomes is vital. Finding this balance is where you need to be. An analytical ecosystem with flexibility and a decisioning framework is key to business value.
Tuesday, February 18 | 10:05 - 10:25
The focus of AI continues to shift from algorithms and experiments toward integration of AI into critical business decision making systems. As part of this process, organisations need to consider how AI can best augment the skills of operational staff to improve decision making at the frontline.
Visit the SAS Theatre session to learn how AI and ML can be integrated with operational systems to create more refined business processes that directly impact business performance.
In any organisation across any industry, the ability to rapidly scale and deploy AI capabilities into production determines the ROI from AI programmes.
Visit the SAS booth to see how an integrated and open analytics platform can support an organisation’s drive to more agile ModelOps processes, without compromising on the need for appropriate governance.
Monmayuri Ray
Senior Data Scientist
YJ
Open Source Analytics Specialist
Felix Liao
ANZ Analytics Platform Lead
Ray Greenwood
AI and Machine Learning Domain Lead
Ryan Baird
Senior Systems Engineer
Sharon Choo
Senior Business Solutions Architect
It’s going to be a busy couple of days with plenty to see and do.
To ensure you don’t miss out on hearing the latest from SAS, book in some time to meet with one of our experts.
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