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KL Data Science Conference 2019: Applications and Challenges in the Industry

Description

Calling all data scientists and data enthusiasts!

MoneyLion's inaugural KL Data Science Conference aims to create a space for knowledge-sharing among data scientists applying machine learning techniques in their respective industries.


Through this conference, we hope to:
  • Engage in academic and industry-focused discussions.
    We explore how academic advances in machine learning have been tailored to address business problems and disrupt industries. We encourage creative solutions for transforming data and modifying algorithms to adapt to real-world constraints.

  • Open the discourse on challenging trade-offs when considering AI solutions.
    Organisations have to constantly weigh the cost of privacy concerns against acquiring more data, risk short-term losses for enhancing long-term AI development, and sacrifice algorithmic accuracy to meet efficiency requirements. We discuss how regulatory compliance may require trade-offs in accuracy to allow for more interpretability and trust in machine learning models.

  • Delve into specific use cases.
    We discuss the practicality and suitability of various approaches, as well as the deficiencies and challenges encountered. Our talks will challenge data scientists to innovate on machine learning techniques as well as develop a more holistic perspective on creating AI solutions.

Join us to explore the latest AI & data science challenges and applications from some of the best and brightest minds in the field.

Fee includes access to all panel discussions, talks and meals!

For more information such as full list of speakers etc, please visit: https://datascience-conference2019.moneylion.my/

Fri Feb 22, 2019
9:00 AM - 5:00 PM MYT
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Venue
Tickets
General Admission SOLD OUT RM99.00
Early Bird (before 18 January 2019) SOLD OUT RM59.00
Internal SOLD OUT RM99.00
Venue Address
Level 20, Menara AIA CapSquare, No, 10, Jalan Munshi Abdullah, Kuala Lumpur Malaysia
Organizer
MoneyLion
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