Big Data & Data Analytics

Dive into modern cloud-native architectures that empower enterprises to scale big data analytics using containerization, Kubernetes, and serverless computing. Explore how AWS, Azure, and Google Cloud support agile data platforms, and gain insights into data orchestration and microservices that streamline complex pipelines.

Uncover the evolving roles of data lakes and data warehouses in unified analytics ecosystems. This session compares performance, cost, and data governance between modern lakehouses and traditional warehouse systems. Experts will showcase how hybrid approaches enhance scalability, real-time access, and analytics maturity.

Explore frameworks and tools for responsible AI deployment and ethical big data use. This session focuses on AI transparency, bias mitigation, data privacy, and compliance with GDPR and emerging AI regulations. Learn how to develop ethical analytics systems through fairness-aware modeling and xplainable AI (XAI).

This session highlights how leading brands use AI to drive customer engagement through real-time personalization, behavior-based targeting, and predictive journey mapping. Discover how recommendation engines, RFM segmentation, and dynamic content delivery are powered by big data analytics.
 

Understand how real-time analytics and sensor data power digital twins in manufacturing, healthcare, and urban development. Gain insights into predictive maintenance, asset performance, and simulation modeling using AI and IoT integration.

Explore the power of NLP in extracting insights from unstructured data across sectors like legal, healthcare, and finance. Learn how transformer models like BERT, GPT, and LLaMA are revolutionizing sentiment analysis, text summarization, and chatbot development.

Learn how big data and AI are transforming cybersecurity frameworks with real-time anomaly detection, threat intelligence, and automated response systems. Explore SOC automation, fraud prevention, and advanced network behavior analytics.

Explore how edge computing enables low-latency data processing and real-time analytics in remote and mobile environments. Learn about AI at the edge, integration with 5G networks, and edge analytics use cases in smart cities, logistics, and autonomous systems.

Delve into the applications of graph theory in big data, including fraud detection, recommendation systems, and social network analysis. Get hands-on with graph databases like Neo4j and algorithms that reveal hidden connections in massive datasets.

Discover how AI and big data are advancing precision medicine, patient monitoring, and genomic research. Case studies showcase real-time diagnostics, EHR analytics, and predictive care models that transform healthcare delivery.

Master real-time data pipelines using Apache Kafka, Flink, and Spark Streaming. Learn how streaming architectures support fraud detection, recommendation engines, and supply chain monitoring with millisecond-level latency.

Understand how data mesh and fabric architectures decentralize data ownership, automate governance, and scale analytics across domains. Learn how to architect resilient, self-serve data platforms in large enterprises.

Explore how satellite imagery and GIS technologies integrate with AI to provide insights for agriculture, disaster response, urban planning, and climate action. Learn best practices for managing spatial data at scale.

Discover how AI and big data enhance financial forecasting, portfolio optimization, fraud detection, and customer service automation through robo-advisors and chatbots.

Learn how organizations empower non-technical users with intuitive dashboards, visual analytics, and natural language querying. Explore tools like Tableau, Power BI, and Looker for democratized insights.

Dive into synthetic data generation for augmenting AI models, testing algorithms, and ensuring data privacy in regulated sectors like finance and healthcare.

Explore how big data analytics supports Environmental, Social, and Governance (ESG) metrics tracking, sustainability impact measurement, and climate action planning.

Understand how fostering a strong data culture accelerates digital transformation. Learn about leadership strategies, data literacy programs, and enterprise-wide AI adoption best practices.

Explore successful models of data monetization including APIs, data marketplaces, and data-as-a-service. Learn from real examples in retail, telecom, and SaaS sectors.

Learn how multimodal AI integrates diverse data types—text, image, audio, and sensors—to enable richer, context-aware analytics in sectors like healthcare, defense, and automotive.

Discover how automation tools streamline ETL processes, model deployment, and ML lifecycle management using orchestration tools like Airflow and Kubeflow.

Explore the top roles, skills, and certifications shaping the future of data science careers. Learn how to upskill for roles like data engineer, ML architect, and AI ethics officer.

Get introduced to quantum computing and its revolutionary potential in processing large datasets and solving complex optimization problems. Learn early use cases in cryptography, finance, and drug discovery.