The All-New Conference for the Rapidly Evolving Data Science Industry Acquiring the Right Talent, Building and Maintaining the Team to Ultimately Build Trust in Data Science
Our CDAO Africa and DataCon Africa events are now well established and definitely seen as the ‘go-to’ forums for the data & analytics community. Thus, Data Science Africa will be positioned as the leading data science event in Africa.’
Data Science Africa is the first forum in Africa established for the data science community to get together and’learn from peers, discuss challenges, solutions, new ideas and the future of data science.
Heads of data science are facing various challenges such as’hiring the right talent, structuring the team right, getting buy-in and trust from business,’
scaling models across the organisation, getting good quality and accurate data, process automation, dealing with data in an ethicalmanner and more.’
Although Data Scientists are high on demand, there has been no formal education on Data Science from institutions like universities and colleges until recently. Currently, data scientists have evolved from other roles such as analysts, statisticians or programmers. ‘This is a very new industry, but the growth rate is tremendous which is exactly why this forum is needed now.’
What can you expect at Data Science Africa 2019?’
- The BIG Question?’
6 Experts will be put on stage and asked – “How did you affect change in your organisation through data science, machine learning & artificial intelligence“.
- More ‘cool’ Use Cases -‘
What projects have Data Science teams delivered recently, how it was done and what was the results.
- Top Class Expert Speakers -‘
Local and international data science & engineering experts from various industries will share their knowledge and expertise on a wide range of topics.
- The BIG Debate -‘
Experts who have either done extensive research and/or working with the topic at hand (Day 1′
Bias Models; Day 2′
Ethics)‘will take to the stage to state their opinion on the matter and argue it out amongst each other.
The’2019 agenda included plenary keynotes as well as technical presentations, practical case-studies an interactive discussion groups, delivered across two streams:’
1) Data Science Office (Business / Strategy / Operations)’
2) Data Science Playpen (Practical & Technical Case Studies) Who should attend Data Science Africa 2019?
Chief Data Scientist, Data Science Lead, Principal Data Scientist, Lead Data Scientist, Data Science Project Lead, Head of Data Science, GM: Data Science, Data Science Manager,’
Data Scientist, Data Engineer, Machine Learning Engineer, Artificial Intelligence Officer,’
Machine Learning Specialist, AI Specialist, Modelling Engineer, Automation Engineer, Robotics, Automation Specialist, Head of Artificial Intelligence, Head of Analytics, Head of Automation, Head of Advanced Analytics, Head of Business Intelligence, Head of Innovation, Executive Head: Artificial Intelligence, Chief Analytics Officer, Chief Data & Analytics Officer, Chief Information Officer
