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TZID:Asia/Singapore
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DTSTART:20000101T000000
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BEGIN:VEVENT
UID:20261012T083855Z - 55568@fwa
DTSTART;TZID=Asia/Singapore:20180124T120000
DTEND;TZID=Asia/Singapore:20180124T140000
CREATED:20261012T083855Z
DESCRIPTION:<a href="https://fwa.run-odoo.com/event/fwa-wintech-banking-tra
 nsformation-with-big-data-and-automated-machine-learning-556">FWA WINTECH:
  Banking Transformation with Big Data and Automated Machine Learning</a>\n
 FWA thanks Standard Chartered for the kind sponsorship. THIS IS A MEMBER A
 ND INVITE ONLY EVENT. To join membership\, please follow this link: https:
 //www.fwasg.org/Membership/IndividualMember.aspx FWA WINTECH: Banking Tran
 sformation with Big Data and Automated Machine Learning Introduction to Al
 ibaba Cloud and its big data capabilities Why it is important to create a 
 next-generation data platform Monetize big data using predictive modeling 
 and machine learning Automated machine learning as a sustainable\, cost-ef
 fective\, and efficient solution Sabith Venkitachalapathy\, Sr Solutions A
 rchitect\, Alibaba Cloud Sabith is a top level technologist with proven co
 nsultancy skills who uses leadership and technical experience to guide cus
 tomers\, partners and internal teams to craft highly scalable\, flexible a
 nd resilient Private\, Public and Hybrid Cloud architectures that address 
 customer business needs and accelerate the adoption of cloud services. As 
 a trusted advocate\, Sabith helps organizations develop a cloud strategy f
 or the transformation of their IT landscape to IT-as-a-Service and provide
 s best practices around advanced cloud-based solutions and workload migrat
 ions. RSVP Details: Seats will be allocated on a first-come-first-served b
 asis. Please sign up early to avoid disappointment. Deadline for RSVP: 17 
 January 2018. We apologise that requests for places after the deadline wil
 l not be entertained. Members: FWA members attend free of charge. Please l
 ogin on the website before registering. Institutional Members: Diamond mem
 bers - Registration at FWA member rates for up to 15 persons per Instituti
 onal Member. Platinum members - Registration at FWA member rates for up to
  10 persons per Institutional Member. Gold members - Registration at FWA m
 ember rates for up to 5 persons per Institutional Member. Please click 'RS
 VP Now' and register using your Institutional Codes [...]
DTSTAMP:20261012T083855Z
LOCATION:Financial Women's Association (Singapore)\, 111 North Bridge Road\
 ,\, #21-01 Peninsula Plaza\,\, Singapore  179098\, Singapore
SUMMARY:FWA WINTECH: Banking Transformation with Big Data and Automated Mac
 hine Learning
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