Machine Learning Africa

Machine
Learning
Africa

A leader in the successful application
of AI across Africa

Employees and employers of Machine Learning Africa:

1) Act with integrity, competence, diligence, and respect and in an ethical manner with the public, clients, prospective clients, employers, employees, colleagues and other participants in the business world.

2) Place the interests of clients and prospective clients above own personal interests.

3) Use reasonable care and exercise independent professional judgment when engaging in any professional activity.

4) Practice and encourage others to practice in a professional and ethical manner.

5) Promote the integrity and viability of the AI community for the ultimate benefit of society.

6) Maintain and improve professional competence, strive to maintain and improve the competence of other professionals.

Machine Learning Africa

Machine Learning Africa provides insight into emerging machine learning technologies and their inevitable impact in transforming Africa. Provides a platform where innovators, technology vendors, end users and enthusiasts discuss latest innovations and technologies that transform businesses and the broader society.

Events

Machine Learning Africa events are created to help business and technology executives cut through the hype, and learn how they can use AI to create competitive advantage, drive new business opportunities and foster innovation. Every organization is looking at how they can thrive in the 4th industrial revolution, therefore AI, machine learning, and similar technologies need to be demystified. Target Audience includes C-Level Executives and business leaders from the public and private sector who are passionate about technology and innovation.

Machine Learning Africa Business Model

Customer Segments

Technology Solutions Providers:
Technology solutions providers focusing on emerging technologies such as AI, ML, IoT, Cloud Computing, Cybersecurity among others. Machine Learning Africa provides platform for technology vendors to showcase their specialized services and solutions. A platform to forge relationships with potential clients. The segment includes both enterprise and technology startups
Technology End-Users:
Business executives and technology managers who interested in leveraging technology to improve their operations, willing to keep abreast with latest technologies and forge partnerships with likeminded parties. They represent industries such as:
- Financial services
- Manufacturing
- Transport and logistics
- Telecommunications
- Retail
- Media
- Education
- And Mining among others

Value Proposition

Customization: Machine Learning Africa provides customized offerings to meet clients’ specific needs. Bespoke ‘programs’ for every client according to their requirements.

Channels

Machine Learning Africa communication channels include:

In-house sales force
Customer Relationship Management Software
Google Adverts
Marketing Partners
Media Partners
Associations
Social Medial Channels i.e. Twitter, Facebook and LinkedIn
Online Purchase Partners
Company Websites

Customer Relationships

Customer Acquisitions: Customers are acquired by offering customized offerings addressing the specific needs of clients. Customer Retention: A policy of no compromise to quality of services rendered to clients in order to increase their ROI. Dedicated Account Managers responsible for maintaining the client relationships.

Revenue Generation

Creates recurring streams of revenues by continuously acquiring new clients and retaining existing ones through customized quality offerings.

Key Resources

Human Capital Machine Learning Africa attracts an arsenal of passionate, entrepreneurial and knowledge driven professionals. Intellectual Creating and maintaining reputable brands

Key Activities

Creating a market for the two segments of technology vendors and end-users. Key activities includes:

Production
Sales and Marketing

Key Partnerships

Technology consulting partners
Alliances

Cost Structure

Value-driven cost dependent on the customization benefits. Consists of fixed and variable costs driving the resources.

Business Units

AI Events
Machine Learning Africa events are created to help business and technology executives cut through the hype, and learn how they can use AI to create competitive advantage, drive new business opportunities and foster innovation. Every organization is looking at how they can thrive in the 4th industrial revolution, therefore AI, machine learning, and similar technologies need to be demystified. Target Audience includes C-Level Executives and business leaders from the public and private sector who are passionate about technology and innovation

AI Consultancy and Cloud Services
Machine Learning Africa provides consultancy services on AI strategy and execution as well as cloud solutions. Furthermore ML Africa partners with technology vendors in building machine learning models for small and medium sized enterprises (SMEs) across various industries such as healthcare, financial services, Retail Telecommunications and media among others.