Big Data 2025 Day 1

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08:15 remove 08:30
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Welcome Speech & Event Opening

08:30 remove 09:10
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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.

09:10 remove 09:50
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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.

09:50 remove 10:15
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Coffee/ Tea Break

10:15 remove 10:55
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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.

10:55 remove 11:35
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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

11:35 remove 12:15
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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.

12:00 remove 13:00
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Networking Lunch Break

13:15 remove 13:55
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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.

13:55 remove 14:35
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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.

14:35 remove 15:15
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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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    The Professional Development Hub


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