• Rahul Ranjan

This research examines the role of big data and AI in the consumer sector, paying close attention to problems surrounding data fusion, AI ethics, security, and scalability. The objective of this study is to uncover potent self-sufficient AI advancements aimed at bettering decision making, consumer participation, and overall productivity. The findings point to real-time data processing, automated AI pipelines, and cloud-based analytics as substantial contributors to improved data accuracy and accessibility. Concerns of AI prejudice and transparency are on ethical ground, but these issues are resolvable with fairness-aware models and explainable AI. Guarantees of regulatory compliance and consumer trust is ensured by strengthening data security and privacy-preserving AI frameworks. Moreover, the provision of competitive advantage and responsiveness to market demands is brought about by scalable AI solutions which include AutoML and predictive analytics. The findings of the study suggest that failure to integrate secure, ethical, and scalable AI powered analytics results to inability to sustain innovation and growth in the consumer industries. The insights from this research will be useful to businesses looking for ways to improve their performance and competitiveness using big data and AI.

● AI ● Big data ● Consumer industries ● Decision-making ● Data integration ● Security ● Privacy ● Scalability ● Predictive analytics ● Ethical AI

"Leveraging Big-data and AI to enable informed Decision-making in consumer Industries", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.e922-e928, February-2022, Available :http://www.jetir.org/papers/JETIR2202518.pdf

"Leveraging Big-data and AI to enable informed Decision-making in consumer Industries", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppe922-e928, February-2022, Available at : http://www.jetir.org/papers/JETIR2202518.pdf