Remove Data Quality Remove Data Scarcity Remove Explainability
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Deep Learning Techniques for Autonomous Driving: An Overview

Marktechpost

Availability of training data: Deep learning’s efficacy relies heavily on data quality, with simulation environments bridging the gap between real-world data scarcity and training requirements.

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Synthetic Data: A Model Training Solution

Viso.ai

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns.

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GenAI in Data Analytics

Pickl AI

By leveraging GenAI, businesses can personalize customer experiences and improve data quality while maintaining privacy and compliance. Introduction Generative AI (GenAI) is transforming Data Analytics by enabling organisations to extract deeper insights and make more informed decisions.