Strategies, Challenges, and Opportunities for Emerging Companies

Call For Applications

We invite applications from Ghanaian- as well as any African Startups who wish to take part in the Accelerating Growth Through AI/ML: Strategies, Challenges, and Opportunities for Emerging Companies” session at the Deep Learning Indaba on Wednesday 6th September, 2023.

Emerging fields such as Artificial Intelligence (AI), Machine Learning (ML), Data Science, and deep learning have become essential in the drive for innovation, efficiency, and growth across various industries globally. In recent years, AI has made significant strides in transforming business processes, fostering expansion, and having us rethink the utilisation of these technologies. As a result, companies have begun integrating AI into their operations, products, and services to enhance productivity, facilitating growth. 

The Deep Learning Indaba will bring together relevant stakeholders – entrepreneurs, investors, AI experts, industry leaders, and even enthusiasts – to discuss strategies, challenges, and opportunities in leveraging AI to scale up emerging businesses.

The call for applications is now open! Submit your application here. The submission deadline is 10 August, 2023.

Session Outline (2hrs):

Welcome and Introduction (5 minutes)

Brief Headline Presentation (20 minutes) – Mr Kofi Dadzie (Tech Consultant & Co-Founder, Rancard)

Panel Discussions (~60 minutes)

Part 1 (40 mins)

  • Theme 1: AI/ML Strategies for Growth and Overcoming Challenges in AI/ML Adoption
  • Theme 2: Opportunities and Future Trends in AI 


  • Darlington Akogo (Founder, MinoHealth AI Labs, KaraAgro AI) 
  • Karim Beguir (Co-Founder and CEO, Instadeep)
  • Jade Abbott (Founder, Lelapa AI) 

Part 2 (20 – 25 mins)

  • Theme 3: How to fund your AI start-up:


  • Ik Kanu (VC and Angel investor, Atlantica Ventures) 
  • Hatem Haddad (Founder, iCompass)
  • Fatima Tambajang, ((Head of Developer Relations, Startups & VC for Africa & Middle East – NVIDIA)

Lightning Pitch session (30 Minutes, 6 Minutes Per Pitch)

  • Copianto AI
  • MazzumaGPT
  • Kwame AI
  • CasualFoundry, Inc
  • Gap Health Technologies
  • Enzyme Prediction

Closing Remarks (5 minutes)