2024 SPEAKERS

Stay tuned for exciting updates as we announce more speakers! Meanwhile, don’t forget to explore the highlights from our 2023 event to see the amazing lineup from last year!

Jordan Morrow
Senior Vice President of Data and AI Transformation
AgileOne (USA)

Viktorija Diestelkamp
Head of Data & Analytics
British Airways (UK)

Cecelia Dones
Founder, Chief Data Officer
Three Standard Deviations, LLC (USA)

Renee Hoon
Data Platform Manager
Sasol

Dr Sizwe Gwala
Head of Data Governance & Management
Absa

Muthoni Wanyoike
Data & AI Consultant
Africa Digital Group (Ken)

Pravir Ishvarlal
Data Science Manager (Rest of Africa)
Standard Bank

Marcellino Carlo
Head: Commercial Analytics & Enablement
C. Steinweg Group

Jordan Morrow
Senior Vice President of Data and AI Transformation
AgileOne (USA)

Viktorija Diestelkamp
Head of Data & Analytics
British Airways (UK)

Cecelia Dones
Founder, Chief Data Officer
Three Standard Deviations, LLC (USA)

Renee Hoon
Data Platform Manager
Sasol

Dr Sizwe Gwala
Head of Data Governance & Management
Absa

Muthoni Wanyoike
Data & AI Consultant
Africa Digital Group (Ken)

Pravir Ishvarlal
Data Science Manager (Rest of Africa)
Standard Bank

Marcellino Carlo
Head: Commercial Analytics & Enablement
C. Steinweg Group

Data and AI Driven Futures: Skills for a Data and AI Enhanced World

The world is evolving and AI is changing it. How can individuals and organizations adopt data and AI well and adapt to a changing world. Come listen to Jordan Morrow as he discusses data and AI and how they tie to a business. He will define data and AI literacy. In his last section, he will empower individuals to become more data and AI driven, teaching ways to improve.

The audience will learn:

  • The purpose of data and AI in the world and business
  • What are data and AI literacy
  • How they can empower themselves with more skills in data and AI literacy

Why Your Data Strategy is Struggling to Take-Off?

Let’s talk about the hidden reasons behind the failure of many data strategies. Through insightful analysis and real-world examples, we will illuminate the key drivers contributing to these setbacks, empowering you to steer clear of common pitfalls and chart a course towards data strategy success.

The audience will learn:

  • Identify common reasons for data strategy failure
  • Recognize the significance of cultural and organizational barriers to data strategy implementation.
  • Gain practical strategies for fostering a data-driven culture and sustaining momentum in your data strategy journey.

Sustainable Data Culture: An Executive Leader’s Guide to Balancing Intuition with Insights

Leaders today are bombarded with data, but many struggle to create a truly nimble data culture. Often, intuition, honed by experience, clashes with data-driven insights. This talk challenges the outdated binary of intuition vs. data. Instead, it promotes an evolving data culture that leverages the best of both intuition and data, empowering teams and creating lasting change.

Three Tangible Learnings
1. Beyond the Bias: Intuition is valuable and augmenting it with data can help to strengthen your business acumen. Learn to use data as a reality check, constantly refining your gut feeling considering new information.
2. Fueling Curiosity: Sustainable data culture thrives on curiosity. Leaders must move beyond simply collecting data and ask questions that delve into the “why” behind the numbers. This fosters a culture of inquiry that uncovers root causes and helps leaders anticipate future trends.
3. Transformational Shift: Creating an evolving data culture isn’t a fad or a flashy dashboard. It requires a transformational shift in leadership mindset and organizational behavior. Discover practical strategies to address resistance, generate buy-in, and empower a workforce to learn, adapt, and leverage data effectively.

This talk cuts through platitudes, offering a practical roadmap for leaders to navigate the ever-changing data landscape. By cultivating an evolving data culture, leaders can unlock the power of curiosity and use data to inform adaptable decisions that drive long-term success.

Bias in, Bias out: Strategies for Fairness in AI through Data Quality Management

This session addresses the critical issue of bias in AI, focusing on data quality management as a solution. We’ll explore how biased data affects AI outcomes and strategies to mitigate this through robust quality processes. Using case studies, we’ll examine types of data bias, their impacts, and detection methods. The talk will also cover ethical considerations and regulatory implications, positioning data quality as key to responsible AI development.

Benefits for data professionals: Understand data quality’s role in AI fairness and ethics, learn to identify and measure dataset bias, acquire strategies for reducing bias in datasets, Integrate bias checks into existing quality frameworks, effectively communicate the importance of unbiased data, Position yourself as a leader in ethical AI practices

Mastering ETL Monitoring, ITGC, and Azure Data Factory Reporting with Power BI

Join this session for an insightful exploration of the transformative capabilities of Power BI in data management. This session will explore practical strategies for enhancing ETL monitoring, ensuring robust ITGC reporting, and optimising Azure Data Factory pipelines using Power BI’s intuitive tools and Azure integration. Drawing from real-world experiences, including the successful AES 2.0 project, you will gain actionable insights to drive organizational efficiency. Whether you are a data analyst, engineer, or IT manager, discover how to leverage Power BI to unlock new insights and accelerate your data-driven initiatives.

Three Tangible Learnings:
1. Optimised ETL Business Monitoring: Learn how to leverage Power BI to streamline and enhance
ETL (Extract, Transform, Load) monitoring reporting.
2. Efficient Azure Data Factory Management: Gain insights into managing and optimizing Azure
Data Factory pipelines using Power BI, enabling efficient data orchestration
3. Effective ITGC Reporting: Discover strategies for using Power BI to create comprehensive IT
General Controls (ITGC) monthly reports, improving transparency and compliance within your
organization.

Navigating Ethical Dilemmas in AI and ML

The integration of artificial intelligence (AI) and machine learning (ML) into various aspects of society offers tremendous potential for innovation and efficiency. However, the ethical considerations surrounding these technologies are crucial for their effective and responsible deployment. This keynote will explore how ethics serve as the foundation for successful AI and ML applications, ensuring they are developed and used in ways that benefit society while minimizing harm.

Key topics to be covered include:
1. Bias and Fairness
2. Transparency and Accountability
3. Privacy and Security
4. Regulatory Compliance
5. Ethical Frameworks

Through case studies and practical examples, we will illustrate the importance of embedding ethical principles into AI and ML projects from inception to implementation. Attendees will gain insights into best practices for aligning AI and ML initiatives with ethical standards, thereby fostering trust and ensuring these technologies contribute positively to society.

Harnessing the Power of Cloud AI for Transformative Business Insights

In an era where data is the new oil, harnessing its power through Cloud AI can revolutionize how businesses operate and grow. Join Muthoni Wanyoike, founder of AI & Insights and renowned Data & AI Pre-sales Consultant at Africa Digital Group, in this compelling session designed to unlock the transformative potential of Cloud AI for your business.

This session will delve into the latest advancements in Cloud AI technologies and how they can be strategically implemented to derive actionable business insights. Muthoni will guide you through real-world applications and success stories from various industries, demonstrating the tangible benefits and competitive edge gained by integrating Cloud AI solutions.

Attendees will explore the critical role of data in driving business innovation and efficiency. We will discuss practical steps to transition to Cloud AI, including selecting the right tools, managing data securely, and optimizing AI models for your specific business needs. Whether you’re a business leader looking to stay ahead of the curve or a tech enthusiast eager to learn more about AI’s business applications, this session will provide valuable insights and strategies.

Don’t miss this opportunity to learn from one of Africa’s leading AI innovators and discover how Cloud AI can empower your business to reach new heights.

Real-Time Analytics and Predictive Insights: Elevating Business Intelligence

In today’s fast-paced business environment, having access to real-time data and predictive insights is crucial for making informed decisions and staying ahead of the competition. Join Muthoni Wanyoike, founder of AI & Insights and esteemed Data & AI Pre-sales Consultant at Africa Digital Group, in this dynamic session that explores how real-time analytics and predictive insights are revolutionizing business intelligence.

This session will provide a comprehensive overview of the latest tools and techniques in real-time data analysis and predictive modeling. Muthoni will demonstrate how these technologies can be leveraged to enhance decision-making processes, optimize operations, and drive business growth. Attendees will gain insights into the practical applications of real-time analytics and predictive insights across various industries, supported by case studies and success stories.

We will discuss the key components of a robust real-time analytics framework, including data collection, processing, and visualization. Additionally, Muthoni will cover best practices for developing predictive models that provide actionable insights and future trends. Whether you are a business leader aiming to harness the power of data or a tech professional seeking to expand your knowledge, this session will equip you with the tools and strategies needed to elevate your business intelligence capabilities.

Don’t miss this opportunity to learn from one of Africa’s leading AI experts and discover how to transform your data into a strategic asset with real-time analytics and predictive insights.

Artificial Intelligence in Africa: Empowering a Continent

The African continent stands at the precipice of a technological revolution, driven by the transformative potential of Artificial Intelligence (AI). This presentation delves into the unique challenges and immense opportunities that AI presents for Africa. We will explore the socio-economic landscape, highlighting the current state of AI adoption and its projected impact on various sectors such as healthcare, agriculture, finance, and education.

Key challenges, including limited infrastructure, data privacy concerns, and the need for skilled human capital, will be addressed. Moreover, we will discuss strategies to overcome these barriers through innovative solutions and collaborative efforts. The presentation will showcase success stories and case studies from different African countries, illustrating the potential for AI to drive inclusive growth and development.

Furthermore, we will examine the role of policy-making and international partnerships in creating a robust AI ecosystem in Africa. By leveraging local talent and resources, Africa can position itself as a significant player in the global AI landscape. This session aims to inspire stakeholders to embrace AI not only as a tool for economic advancement but also as a catalyst for social transformation and empowerment.

Translating Data to Revenue, Client Value Management driven by Data

Contrary to most schools of thought, recorded history or Data has existed long before digital media and programming languages were written to store and quantify our human experience. It is then ironic how our modern understanding of data is rooted in being cold or unemotional rather than being the blueprint for the event based human experience. We often use data to determine quantitative performance and human emotion to be qualitative in nature – when in fact they are intrinsically linked and cannot be separated from one another. I would argue that the same ones and zero’s, until the dawn of quantum computing that is, represent just how much we do or have done as holding equivalence to happiness, elation, fear, anger and melancholy. Consider this – every psychometric assessment you have ever taken is rooted on a scale between strongly disagree (-10) to strongly agree (10). Therefore, a series of numerical inputs are distilled into telling you the way you think, reason and show up in social situations. Large Language Models (LLMs) and Natural Language Processing (NLP) have allowed us to go one step further by taking mass streams of text inputs through means like sentiment analysis and polarity scores to define just how happy or unhappy you are.
The more questions I ask, the more I know about you. The same holds true for the more data points I have and simultaneously analyse the more multifaceted lenses to single point focuses I understand you from. Much of this is rooted in deriving micro to hyper segmentation, next best actions, basket and cohort analyses within organizations. This being highly reactive. Predictive Analytics has also only been gleaned within Credit Risk and Actuarial environments. The latent potential still yet lies dormant and it’s real-world applications border on science fiction, conspiracy theory, covert and exploitative practices all the way to getting someone to buy a service or product whilst being under the illusion of free-will. I will show you how to use data and all it’s tools to create a guided psychometric assessment with a pre-determined outcome.

Three Tangible Learnings:
1. How to maximize your data to be an effective story-teller and organisational asset.
2. Understanding both internal and external client value across as many metrics as possible.
3. What it means to monetize data and information.