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Corinium is the leader in data & analytics industry events

Take a look back at how great our previous event DataCon Africa was

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 ethical manner 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 effect 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
 

30+ Speakers

150 Attendees

2 Themed Tracks

16

Featuring Expert Speakers

Dr Davide D'Aprile

Dr Davide D'Aprile

Senior Advisor for AI, United Nations Development Program (UAE)

Sandra Lehmann-1

Sandra Lehmann

Head of Data Science, Discovery Vitality

Carlo Tak

Carlo Tak

Principal Data Scientist, MultiChoice Group

Abigail Britton-3

Abigail Britton

Data Science Lead, Anheuser-Busch InBev

Derwin Ngomane

Derwin Ngomane

Lead Data Scientist, MMI Holdings

Riaz Arbi

Riaz Arbi

Principal Professional Officer: Data Science, City of Cape Town

Siobhain OMahony

Siobhain O’Mahony

Head: Analytics, Investec Private Bank

Dennis Chu

Dennis Chu

Vice-President Big Data and Analytics Enterprise Tooling, Barclays Africa

Theo Guns

Theo Guns

Head of Data Science, Publicis Media

Daniel Wertheimer-1

Daniel Wertheimer

Data Scientist, Absa

Eugene Brockman

Eugene Brockman

Talent Manager for IT, Digital & Data Science, MMI Holdings

Caitlin Murray

Caitlin Murray

Data Scientist, OUTsurance

Shane Naidoo

Shane Naidoo

Head: Data Science, Innovation & Robotic Process Auditing, Standard Bank

Jacqueline Calitz

Jacqueline Calitz

Data Scientist, WesBank

Kirschen Nainar

Kirschen Nainar

Principal Data Scientist, MultiChoice Group

Dietmar Bohmer-1

Dietmar Bohmer

Chief Data Scientist, TYME

Stuart Gordon Reid

Stuart Gordon Reid

Head of Data Science, Aerobotics

Louise de Beer-1

Louise de Beer

Head of BI & Data Science, Leadhome

Bhekisipho Twala-1

Bhekisipho Twala

Professor in AI & Data Science, UNISA

Guy Taylor-2

Guy Taylor

Head of Data & Data Driven Intelligence, Nedbank

Shavani Naidoo-1

Shavani Naidoo

Chief Data Scientist, Primedia Group

Howard Diesel

Howard Diesel

President , DAMA SA

Manish Dullabh-1

Manish Dullabh

Head: Artificial Intelligence, Absa

Naresh Ramatar-1

Naresh Ramatar

Executive Head: Personal & Business Banking & Wealth Audit, Standard Bank

Claudia Fah-2

Claudia Fah

Fraud Analytics Manager, BankservAfrica

Paul dos Santos-1

Paul dos Santos

Data Scientist, Harambee Youth Employment Accelerator

Zahier Kajee-1

Zahier Kajee

Head of Visualization, Absa

Delyno du Toit - logo only

Delyno du Toit

Manager: Organisational Performance Management, City of Cape Town

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