October 29, 2025

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Big Data and Business Analytics Innovation Summit 2025

The Big Data and Business Analytics Conference 2025 is the premier gathering for industry leaders, data scientists, and business innovators, happening in October 2025 in Sandton, Johannesburg. This cutting-edge event will explore the latest trends, technologies, and strategies shaping the future of big data and analytics...
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Background

The Big Data and Business Analytics Conference 2025 is the premier gathering for industry leaders, data scientists, and business innovators, happening in October 2025 in Sandton, Johannesburg. This cutting-edge event will explore the latest trends, technologies, and strategies shaping the future of big data and analytics. From groundbreaking applications like quantum computing and federated learning to practical solutions like predictive analytics and data mesh architecture, this conference offers a comprehensive view of how data-driven insights can revolutionize industries.

Through keynotes and panel discussions, attendees will gain actionable knowledge on leveraging big data to drive growth, innovation, and sustainability in their organizations. Explore how advancements in AI, edge computing, and ethical frameworks are addressing the challenges of scalability, privacy, and transparency in a data-rich world.

Who Should Attend?
This conference is ideal for professionals who want to stay ahead in the rapidly evolving field of data analytics. Key attendees include:

  • Data Scientists & Analysts: Learn the latest tools and methodologies, from federated learning to advanced NLP.
  • Business Leaders & Decision-Makers: Discover how to integrate data-driven strategies for growth, sustainability, and profitability.
  • IT & Data Infrastructure Professionals: Understand trends in unified data platforms, data mesh architecture, and edge analytics to enhance operational efficiency.
  • AI & Machine Learning Experts: Dive deep into topics like generative AI, quantum computing, and AI-driven predictive analytics.
  • Cybersecurity Professionals: Gain insights into using big data analytics for anomaly detection and real-time threat prevention.
  • Marketing, Finance, and Operations Teams: Learn how democratizing data science and adopting advanced analytics can empower cross-functional decision-making.
  • Policy Makers & Ethicists: Engage in discussions about the ethical implications and governance of big data in AI.
SPEAKERS AND DATES

EVENT SCHEDULE

Enjoy the speeches from the best this industry has to offer!



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Welcome Speech & Event Opening

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Federated Learning for Cross-Enterprise Collaboration

Explore how federated learning enables multiple organizations to train machine learning models collaboratively without sharing raw data, enhancing privacy and compliance. This session will cover its application in finance, healthcare, and retail, highlighting how decentralized learning can unlock insights while preserving data sovereignty and regulatory adherence.

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Quantum Computing in Business Analytics

Quantum computing is reshaping big data by processing complex datasets exponentially faster than classical systems. Learn how businesses are leveraging quantum algorithms for optimization problems, predictive modeling, and fraud detection, pushing the boundaries of analytics and delivering transformative results in finance, logistics, and advanced AI applications.

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Coffee/ Tea Break

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The Rise of Synthetic Data in Analytics

Synthetic data is transforming big data by offering high-quality datasets generated from simulations. Understand how this innovation mitigates data privacy issues, augments machine learning, and accelerates AI development while minimizing risks, making it a critical asset for training models in sensitive industries like healthcare and finance.

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The Rise of Voice Commerce: Unlocking Potential in the Post-Search Era

Voice-activated shopping is growing, with AI assistants facilitating purchases through smart devices. Explore how e-commerce businesses can capitalize on the rise of voice commerce, adapting strategies to optimize voice search, streamline checkout processes, and enhance consumer engagement

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AI-Driven Predictive Analytics for Business Growth

Predictive analytics powered by AI is revolutionizing decision-making. This session explores the latest advancements in forecasting techniques, highlighting real-time data processing, customer behavior analysis, and sales trend prediction to empower organizations to make proactive, data-driven decisions that drive profitability and market adaptability.

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Networking Lunch Break

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Data Mesh Architecture: A Decentralized Approach

Data mesh shifts from centralized data warehouses to a domain-oriented architecture, empowering teams to manage their data as a product. This talk will delve into its principles, tools, and how enterprises are adopting it to scale analytics while maintaining agility and collaboration across diverse business units.

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Edge Analytics for Real-Time Decision Making

Edge analytics processes data at the source rather than sending it to centralized systems. This topic explores its applications in IoT, retail, and smart manufacturing, emphasizing how it reduces latency, enhances security, and provides real-time insights critical for dynamic, data-driven environments.

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Ethics and Bias in Big Data Algorithms

With AI's growing influence, addressing biases in big data algorithms is crucial. This session will explore frameworks and strategies to build ethical AI systems, ensuring fair outcomes in hiring, credit scoring, healthcare, and other sectors while promoting transparency and accountability.

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Unified Data Platforms for Enterprise Scalability

Unified data platforms integrate disparate data sources into a single ecosystem. Learn how they enable seamless data access, advanced analytics, and improved governance, driving business innovation. Case studies from leading industries will demonstrate their transformative impact on scalability and operational efficiency.

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Data-Driven Sustainability Strategies

Discover how businesses are using data analytics to achieve sustainability goals. From energy optimization to waste reduction, learn about advanced tools and metrics that allow organizations to make impactful, eco-conscious decisions while balancing profitability and environmental responsibility.

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Coffee/ Tea Break

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Generative AI in Data Analysis

Generative AI models are unlocking new possibilities in data analytics by creating synthetic data, generating insights, and automating reporting. This topic explores practical applications, challenges, and how businesses can harness these models for faster, more accurate decision-making across various industries.

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Cybersecurity Analytics in the Age of AI

Big data plays a vital role in detecting and preventing cyber threats. This session examines how advanced analytics, anomaly detection, and real-time monitoring are critical for protecting sensitive business data, with case studies highlighting the integration of AI into cybersecurity frameworks.

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Networking Lunch Break

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Democratizing Data Science for Business Users

Making data science accessible to non-technical users is a growing trend. Explore tools and strategies enabling business users to leverage data analytics without deep coding expertise, fostering innovation and empowering teams across marketing, finance, and operations to make data-driven decisions.

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Advanced NLP for Business Insights

Natural Language Processing (NLP) is revolutionizing how businesses analyze text-based data. This topic highlights advancements in sentiment analysis, customer feedback mining, and document processing, showcasing its impact on improving customer experience, market research, and operational efficiency.

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The Future of Data Monetization

As data becomes a critical asset, monetizing it responsibly is key. This session explores strategies for turning data into revenue streams through insights, partnerships, and marketplaces while ensuring compliance with evolving regulations and maintaining trust with customers.


GET TO KNOW THE

EVENT SPEAKERS


Business Development & Marketing Director of KIWEB Events

Nicholas Geza

Past Event

PAST SPEAKERS


Founder at People With Purpose Consulting I Corporate MC I Keynote Speaker

Nontuthuko Mhlungu

Head: IT Governance & Reporting at National Health Laboratory Service

John Mukomana

Director and Lead Data Architect | Data Architect at BI-Lab Solutions

Mgcobo Gwampi

Chief Information Security Officer at Iosis Laboratories

Ivan Sabljak

Head of Data Governance at Absa Group | Group Compliance | Data Strategy| Data Governance & Management| Data Analytics & BI| Data Privacy & InfoSec| Keynote| Advisory Board Member| Lecture & Mentor

Dr. Sizwe Gwala

Lead: Data Science and Analytics at Sasfin | Multi-award Winning Author | Woman in Data| Corporate Key Note Speaker

Faith Sithole

Human-Centered Artificial Intelligence (AI) Advocate and thought leader | Formerly global AI ambassador with Swiss Cognitive and Research fellow with Stellenbosch University

Johan Steyn

CEO at True I/O | Blockchain Innovation Leader | Keynote Speaker | Bridging Real World Asset Tokenisation & Digital Payments with Enhanced Usability

Vincent Maher

MD at Master Data Management - 20 years delivery of Data Governance, Data Quality and MDM solutions

Gary Allemann

Director Data Science at Dentsu SSA. #DataGap #BigData #DataScience

Paul Stemmet

Head of Digital SSA | Simply Black Group | New Business Development,Digital Transformation | Ex WPP I Ex Publicis |Ex Dentsu | IAB Digital Transformation Council | Public Speaker | Mental Health Ally

Nivasha Pillay

Head of Centre of Excellence -Internet of Things and Security at MTN

Kenneth Matau

Head of Data and Analytics at Lombard Insurance | Founder of High Risers - African Movement | Top 100 Global Data and Analytics Leader 2023 |Top 50 Most Inspiring African Women in Tech 2023

Kutlwano Ngwarati

Speaker, Strategist, Coach and Mentor at Custodiet Advisory Services | CSO at SLVA Cybersecurity

Steve Jump

Founder and CEO of The AI Shop; Co-founder of Zindi

Ekow Duker

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Sponsors

Past Sponsors

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