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

Traditionally, AI research and development have focused on refining models, enhancing algorithms, optimizing architectures, and increasing computational power to advance the frontiers of machine learning. However, a noticeable shift is occurring in how experts approach AI development, centered around Data-Centric AI.

Data Quality 159

Data Quality Data Scarcity AI AI 159

Marktechpost

MAY 8, 2024

Extensions to the base DQN algorithm, like Double Q Learning and Prioritized replay, enhance its performance, offering promising avenues for autonomous driving applications. DRL models, such as Deep Q-Networks (DQN), estimate optimal action policies by training neural networks to approximate the maximum expected future rewards.

Deep Learning 121

Deep Learning Neural Network Data Scarcity Natural Language Processing 121

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. Technique No.1:

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Pickl AI

DECEMBER 3, 2024

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.

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. Data Availability and Quality : Obtaining high-quality, domain-specific datasets is crucial for training accurate and reliable DSLMs.

Natural Language Processing 203

Natural Language Processing Large Language Models Data Scarcity LLM 203