Regional Advanced Analytics Practice Lead
With more data and new computing technologies, opportunity abounds for the use of Analytics. Whether it’s finding more efficient ways to deliver products and services, preventing fraud, determining credit risk, or retaining the most valuable customers, Analytics is core in helping your organization understand its ecosystem.
Latest advances have resulted to high interest in implementing Machine Learning as a part of the Analytics Strategy. Understanding where, when and how to apply these capabilities requires expertise in both your industry and analytics, and significant shift in mind set/culture in your organization.
Let us explore how our organizations can build smarter analytics by adopting Machine Learning and understand the culture that supports a true data-driven organization.
Date: Tuesday, 11 June 2019
Time: 8:00 AM – 12:00 PM (Registration starts from 8:00 AM)
Venue: Le Meridien Saigon Hotel - 3C Ton Duc Thang Street, Ben Nghe Ward, District 1, Ho Chi Minh City, Vietnam
Registration until May 31st 2019*. Hurry and register today!
This event is no longer available for registration.
|8.00 AM - 9.45 AM||Registration|
|8.45 AM - 9.00 AM||Opening Note|
|9.00 AM - 9.45 AM||Keynote 1: “As Humanly AI As Possible” |
This keynote discusses about how to navigate your organization’s culture in this changing world of algorithms, automation and AI
|9.45 AM - 10.00 AM||Tea Break|
|10.00 AM - 10.45 AM||Keynote 2: “Making the most of AI and Alternative Data”|
This keynote discusses about the use of alternative; non-traditional data has seen some growth in recent years as banks and fintech’s expand their market into the ‘unbanked’ and ‘underbanked’ sectors. The use of such data along with advanced analytical techniques presents tremendous opportunities, but also some pitfalls. This talk will discuss the types of alternative data being used globally, present pros and cons of each, and present the main issues concerning the usage of such data
|10.45 AM - 11.15 AM||Techtalk: AIML in Action using SAS|
See how AIML enables smarter analytics across use cases for customer engagement, risk, fraud and compliance in the banking and insurance industry.
|11.15 AM - 11.45 AM||Panel discussion|
|11.45 AM - 11.50 AM||Closing Remark|
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