Towards AI

OCTOBER 31, 2024

Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities. Flipping the paradigm: Using AI to enhance data quality What if we could change the way we think about data quality?

Data Quality 99

Data Quality Data Scarcity Automation Natural Language Processing 99

Unite.AI

SEPTEMBER 12, 2024

Much like a solid foundation is essential for a structure's stability, an AI model's effectiveness is fundamentally linked to the quality of the data it is built upon. In recent years, it has become increasingly evident that even the most advanced AI models are only as good as the data they are trained on.

Data Quality 159

Data Quality Data Scarcity AI AI 159

Marktechpost

MAY 8, 2024

From basic driver assistance to fully autonomous vehicles(AVs) capable of navigating without human intervention, the progression is evident through the SAE Levels of vehicle automation. Despite most scenarios being solvable with traditional methods, unresolved corner cases highlight the necessity for AI-driven solutions.

Deep Learning 121

Deep Learning Neural Network Data Scarcity Natural Language Processing 121

Marktechpost

DECEMBER 15, 2024

Researchers from Shanghai AI Laboratory, UNC Chapel Hill, Adobe Research, and Nanjing University proposed the Self-Refining Data Flywheel (SRDF), a system designed to iteratively improve both the dataset and the models through mutual collaboration between an instruction generator and a navigator.

Data Scarcity 78

Data Scarcity Data Quality Automation AI 78

Viso.ai

DECEMBER 18, 2023

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.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Pickl AI

DECEMBER 3, 2024

Summary: Generative AI is transforming Data Analytics by automating repetitive tasks, enhancing predictive modelling, and generating synthetic data. By leveraging GenAI, businesses can personalize customer experiences and improve data quality while maintaining privacy and compliance.

Generative AI 52

Generative AI Automation Data Quality Data Scarcity 52

Unite.AI

MARCH 13, 2024

Ensuring data quality, addressing potential biases, and maintaining strict privacy and security standards for sensitive medical data are the major concerns. BloombergGPT, for instance, with its 50-billion parameter size, is fine-tuned on a blend of proprietary financial data, embodying a pinnacle of financial NLP tasks.

Natural Language Processing 203

Natural Language Processing Large Language Models Data Scarcity LLM 203