How to Manage Data and AI Responsibly
Responsible data & AI practices are essential for building a just and equitable world. It’s not just about learning to use data and AI—it’s about leveraging these tools ethically, securely, and in ways that genuinely serve people where you live and work.
Who Should Attend:
This course is designed for :
NGO workers
Government employees
Leaders of micro-, small- and medium-sized enterprises (MSMEs)
Communities across the Global Majority.
Where : Virtual
About Your Trainers
Yaovi Habib Lazare Houndekindo - Director of Francophone Operations
Yaovi Habib Lazare Houndekindo is an accomplished IT professional who brings over a decade of expertise in IT training, project management, and web/mobile development to datocracy. With a Master’s Degree in Data Transmission and Information Security and certifications in Cisco CCNA Routing and Security, Habib’s credentials reflect his deep commitment to excellence in the tech field.
Fluent in French and English, Habib bridges linguistic and cultural divides, ensuring datocracy’s mission resonates across Francophone regions. His career is defined by professionalism, adaptability, and a proven ability to achieve transformative outcomes. From spearheading national IT projects across West Africa to driving forward innovative solutions, Habib’s work is a testament to the power of technology in building equitable futures.
In his role, Habib is dedicated to empowering communities in the Global Majority through data accessibility and responsible tech practices, embodying datocracy’s vision of a world driven by inclusivity and collaboration.
Maathangi Mohan - Data Programs and Partnerships Lead
Maathangi Mohan is a data analyst turned global development sector professional, committed to creating pathways for social inclusion and gender equity. With nearly a decade of experience spanning corporate analytics and social impact initiatives, Maathangi specializes in designing data-driven, gender-responsive strategies that center marginalized voices and empower underserved communities, particularly women in the informal sector.
During her tenure with SEWA, Maathangi played a pivotal role in transforming centralized operations into decentralized, scalable frameworks, improving market access, advancing digital literacy, and unlocking economic opportunities for women-led cooperatives. Her work embodies the power of technology and data as tools for sustainable development, driving women’s leadership and economic empowerment in communities too often left behind.
Maathangi brings a strong foundation in data analysis from her early career as a Decision Scientist at Mu Sigma. She holds a PG Diploma in Liberal Studies and Leadership from Ashoka University and a Bachelor’s degree in Electronics and Communication Engineering from Anna University.
At datocracy, Maathangi is dedicated to amplifying the voices of the Global Majority by integrating data-driven solutions into efforts for equity and progress.Her vision aligns seamlessly with our mission to democratize data, ensuring no one is left out of the data revolution.
Eng. William Munguti : Data & AI Engineer at Qhala
About : William is an IT expert with a strong commitment to continuous learning and development. A problem solver who is constantly looking beyond traditional solutions in order to see complicated problems in a new perspective. An impact-driven problem solver who is always seeking for new and better ways to address problems. As a Data & AI Engineer, I design, build, and maintain the technical infrastructure that powers data-driven insights and artificial intelligence applications. I'm essentially the bridge between raw data and actionable AI solutions, creating robust pipelines, scalable systems, and intelligent algorithms.
My day-to-day work includes:
Designing and implementing data pipelines to collect, process, and transform large datasets from multiple sources
Building and deploying machine learning models and AI systems in production environments
Developing APIs and interfaces that enable applications to leverage AI capabilities
Optimizing data storage, processing workflows, and model performance for scalability
Collaborating with data scientists, software engineers, and business stakeholders to translate their requirements into technical solutions
Monitoring and maintaining AI systems to ensure they're reliable, accurate, and secure
The technical skills I use: Programming languages like Python, SQL and R, cloud platforms such as AWS, and machine learning frameworks like TensorFlow and PyTorch, plus data engineering tools including Apache Spark, Kafka, and Airflow.
William's Linked in Profile
For any inquiries please email us : africa-aiweek@qhala.com