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DATA VISUALIZATION & MACHINE LEARNING 101

Explore the transformative potential of data visualization and machine learning in shaping successful business strategies

  • Schedule

    Friday, August 11, 2023

    18.30 – 20.30

  • Venue

    Online Via Zoom Meeting

OVERVIEW

In this webinar, we will delve into the practical applications and benefits of integrating data visualization and machine learning in business. Real-world case studies across various industries will be showcased, demonstrating how this synergy drives innovation, improves operational efficiency, and fosters growth. Participants will gain valuable insights into the power of visualizing machine learning outputs and how it aids in effective communication and informed decision-making.  Join us to explore the transformative potential of data visualization and machine learning in shaping successful business strategies

Keynote Session
Keynote presentations will offer their perspectives on the current state and future of data visualization and machine learning and its impact on businesses, emphasize its importance in driving business success in the data-driven era. Our speakers will also share their insights, experiences, and perspectives about the topic.

Moderated Discussion
In this session you will learn about best practices for using data visualization and machine learning to drive business outcomes and hear from organizations that have successfully leveraged data science. Our panelist will also explain the data visualization techniques utilized to present complex data and insights effectively in the case study context.

Q&A Session
Attendees will have the chance to interact with our panel of industry experts during the Q&A session. This interactive session will provide valuable insights and an opportunity to learn from the leaders in the field by asking questions and getting expert answers on the topic.

OUR SPEAKERS

Kevin Filmawan

Associate Data Scientist Manager at Blibli.com

As a data science manager, Kevin’s primary focus is to grow the data science team. During his professional career, Kevin has mentored numerous fresh graduates and senior data scientists to achieve excellence and improve their skills and understanding in the data science field from both technical and soft skills. With 6+ years in E-commerce, Kevin has a deep business experience and knowledge within the industry. With his expertise, Kevin has advised project stakeholders on a science-driven approach to their problems, utilizing data to make the optimal decision.

Musa Alfatih

Business Intelligence Lead at tiket.com

Musa Alfatih is a Business Intelligence Lead at tiket.com, where he fluently speaks the language of data. He possesses a strong passion for leveraging data to extract valuable insights and translate them into actionable strategies. One particular area where he thrives is his passion for automating manual processes in order to increase efficiency and productivity. Throughout his dynamic career spanning eight years, Musa has demonstrated his adaptability and growth mindset by excelling in diverse industries, including telecommunications, fintech, e-commerce, and online travel agencies (OTA). 

Handoyo Sjarif

Head of Business Intelligence at Algoritma

As a Head of Business Intelligence and also a Senior Data Science Instructor at Algoritma Data Science School, Handoyo is deeply committed to making data science accessible, advocating for its capacity to enhance productivity and societal improvement. He integrates his proficiency in both Python and R programming languages into his instruction, enriching his teachings with a dual language perspective.

RUNDOWN

ScheduleContent
18:30 – 18:40Opening
18:40 – 19:00Presentation by Kevin Filmawan
19.00 – 19.05 Algoritma Introduction
19:05 – 19:25Presentation by Handoyo Sjarif
19.25 – 19.45Presentation by Musa Alfatih
19:45 – 19:50Photo Session
19:50 – 20:25QnA session
20:25 – 20:30Closing

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