Event Schedule

Discover cutting-edge trends, insights, and success stories at the Digitizing Africa 2024. Immerse yourself in illuminating keynotes and dynamic panel discussions, setting the stage for a transformative exploration of digital innovation in Africa. Join us as we ignite conversations, connect leaders, and pave the way for a future powered by technology.

Day 01 | 02 October, 2024

  • Analysing the role of technology in achieving ambitious development goals.
  • Exploring key initiatives and investments driving digital transformation in South Africa.
  • Public-private partnerships and collaboration for sustainable digital development.
  • Opportunities for citizens and businesses to contribute to the digital vision.
  • AI empowering informed decision-making by transforming raw data into actionable insights, enabling organizations to extract value for informed choices and drive business growth in the rapidly evolving digital landscape.
  • Integrating AI into existing workflows and fostering a culture of innovation within organization.
  • Addressing ethical considerations in AI adoption and anticipating future opportunities, encouraging continuous learning and adaptation to stay ahead in the digital frontier.

Meet and greet networking session with speakers and other senior digital leaders.

  • Future of work and collaboration in a world with AI, emphasizing the importance of human-AI partnerships.
  • How humans and AI can complement each other’s strengths and work together to achieve optimal results?
  • Analyzing the skills and mindsets needed to thrive in a human-AI collaborative environment.
  • Generative AI is pushing the boundaries of innovation.
  • Highlighting how businesses are using generative AI to disrupt their industries.
  • Emphasizing how generative AI goes beyond automation, sparking creative thinking and propelling businesses ahead of the curve.
  • Accelerating the development cycle by streamlining product design and development
  • Enhancing data driven insights for more accurate predictions.
  • Transforming customer experience and optimising supply chain.
  • Demystifying AIaaS: Understanding the benefits and challenges of pre-built solutions.
  • Evaluating AIaaS options based on specific business needs, budget, and technical capabilities.
  • Deploying and integrating AIaaS solutions seamlessly into existing workflows and infrastructure.
  • Managing and monitoring AIaaS performance ensuring optimal efficiency and value realization.
  • The future of AIaaS: Expanding accessibility and democratizing innovation.
  • Beyond Payments 2.0, fuelled by AI and cutting-edge advancements in the evolving landscape of digital payments, open banking and new age fintech
  • Impact of AI-powered digital payments on financial inclusion, ensuring greater access to financial services for businesses and driving economic growth
  • Harnessing the power of AI and embrace emerging technologies to remain competitive and offer innovative payment solutions to customers.
  • Growing importance of data-driven decision making for businesses in the digital age.
  • Exploring practical applications of data analytics across various industries and sectors.
  • Analyzing the challenges and opportunities for businesses in leveraging data effectively.
  • Demonstrating the impact of AI-driven automation on optimizing processes, reducing costs, and improving operational efficiency.
  • Showcasing case studies of successful automation implementations across industries, highlighting tangible ROI.
  • Beyond buttons and prompts: Exploring the emerging field of natural language interaction (NLI) with AI systems, including techniques for effective communication and interpretation of responses.
  • The art of asking the right questions: Learn how to formulate questions that elicit meaningful and insightful responses from AI systems, maximizing the potential for problem-solving and decision-making.
  • Building transparency and explainability in AI communication, fostering trust and ensuring users understand the reasoning behind AI responses.
  • The future of AI interfaces: Exploring emerging trends in human-computer interaction with AI, including voice interfaces, chatbots, and virtual assistants.
  • Mastering the AI dialogue: Learn how to effectively engage in dialogue with AI systems, leveraging their capabilities for collaborative tasks, information extraction, and creative exploration.

Day 02 | 03 October 2024

  • Highlighting the growing threat landscape in the digital age.
  • Emphasizing the importance of cybersecurity for protecting critical infrastructure and ensuring the sustainability of digital transformation in Africa.
  • Need for collective action and international cooperation to address cybersecurity challenges.
  • Highlighting the evolving cyber threat landscape and the critical need for robust defense strategies.
  • AI and machine learning for threat detection, incident response, anomaly analysis, and proactive cyber defense.
  • Streamlining automation in incident response and vulnerability management, saving time and resources.
  • Integrating threat hunting and proactive intelligence gathering to stay ahead of emerging threats.
  • Addressing the critical need for robust data protection frameworks and privacy regulations
  • Understanding the responsible data management and ethical use of data
  • Implications of data governance on consumer trust and business innovation
  • Critical cybersecurity challenges facing organisations across all industries
  • Advanced threat detection and response techniques
  • Best practices for building a culture of security and compliance in diverse industries
  • Evolving cyber threats and their impact on various industries
  • Collaborative approaches to building national cybersecurity resilience
  • Government regulations and best practices for data protection and privacy
  • Individual and organizational responsibility in cybersecurity preparedness
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  • Beyond data collection, AI-powered IoT is revolutionizing operations, enhancing efficiency, and driving innovation across industries.
  • Solving real-world problems, not hype. Decoding nuanced challenges like predictive maintenance, optimized resource management, and improved decision-making.
  • Exploring strategic opportunities inherent in IoT integration, with a focus on robust data security measures, seamless scalability, and leveraging data insights for sustainable growth.
  • Securing the connected future: Protecting connected devices, networks, and data.
  • Highlighting the security vulnerabilities and challenges associated with the growing adoption of IoT devices.
  • Strategies for securing IoT devices and networks to mitigate cyber risks.
  • Addressing the unique cybersecurity risks associated with cloud computing adoption.
  • Implementing best practices for securing data and applications in the cloud environment.
  • Analyzing the role of cloud providers and shared responsibility models in securing cloud infrastructure.
  • Understanding network segmentation, firewalls, and intrusion detection/prevention systems (IDS/IPS) and their role in securing network traffic.
  • Deploying zero-trust architecture, network access control (NAC), and endpoint detection and response (EDR) solutions.
  • Identifying, prioritising, and remediating vulnerabilities in software and systems to minimise attack surfaces.
  • Understanding the unique security challenges of wireless networks and exploring best practices for securing Wi-Fi access points and devices.
  • Monitoring network activity for suspicious behaviour and developing a structured approach to incident response.
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