Recommender Systems and their Societal Impact

Standard Bank CIB is graciously hosting us and has provided the venue for our event.

The address is 30 Baker Street, Rosebank and we'll be in Multi Function Meeting Room on the Ground Floor. https://goo.gl/maps/3SHBLXwjyyn

Please provide your vehicle registration number when you RSVP to reserve parking.

Note that attendance is limited for this exclusive event!

Agenda

6:00 PM - 6:10 PM: Tyrone Kruger - PyData Welcome (10 minutes)

6:15 PM - 6:25 PM: John Mukomberanwa - Introductory remarks to frame the evening's discussions (10 minutes)

Theme Overview: The evening focuses on recommender systems, ubiquitous across various sectors such as social media, entertainment, e-commerce, news, and media. These Python-based systems aim to personalise user experiences. The discussion will cover learning objectives, potential biases, ethical considerations, and the evolving impact of these systems.

Speaker Sessions:

• 6:30 PM - 6:50 PM: Vusumuzi Moyo (20 minutes)
• 6:55 PM - 7:15 PM: Miren Bitcham (20 minutes)
• 7:20 PM - 7:40 PM: Andani Madodonga (20 minutes)
• 7:45 PM - 8:05 PM: Amy Ah Goo (20 minutes)
• 8:10 PM - 8:30 PM: Q & A Session (20 minutes)

The event wraps up at 8:30 PM.

Speaker Bios:

• Vusumuzi Moyo: MSc Computer Science, MCom Finance and Investments and PhD in Finance from Wits, Senior Machine Learning and AI specialist.
• Miren Bitcham: BScEng in Mechanical Engineering from Wits, Specialist Data Scientist.
• Andani Madodonga: M.IT in Big Data Science from UP, Specialist Data Scientist.
• Amy Ah Goo: MSc Computer Science from Wits, Data Engineer.