AI News

JANUARY 31, 2025

They must demonstrate tangible ROI from AI investments while navigating challenges around data quality and regulatory uncertainty. Its already the perfect storm, with 89% of large businesses in the EU reporting conflicting expectations for their generative AI initiatives. For businesses, the pressure in 2025 is twofold.

Data Quality 305

Data Quality Big Data AI AI 305

AI News

MAY 3, 2024

As the world embraces the transformative potential of AI, SoftServe is at the forefront of developing cutting-edge AI solutions while prioritising responsible deployment. ” Recognising the critical concern of ethical AI development, Ros stressed the significance of human oversight throughout the entire process.

Big Data 324

Big Data Generative AI Explainability AI 324

AI News

SEPTEMBER 17, 2024

Additionally, half of the respondents support regulations aimed at ensuring transparency and ethical practices in AI development. Challenges extend beyond AI regulation However, the challenges facing AI adoption extend beyond regulatory concerns.

Data Quality 321

Data Quality Big Data AI AI 321

Pickl AI

MARCH 7, 2025

These factors drive decision-making, AI development, and real-time analytics. Managing Big Data effectively helps companies optimise strategies, improve customer experience, and gain a competitive edge in todays data-driven world. In 2023, the global Big Data market was worth $327.26

Big Data 52

Big Data Machine Learning Data Quality Data Science 52

Unite.AI

DECEMBER 27, 2024

Its not a choice between better data or better models. The future of AI demands both, but it starts with the data. Why Data Quality Matters More Than Ever According to one survey, 48% of businesses use big data , but a much lower number manage to use it successfully. Why is this the case?

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

AWS Machine Learning Blog

DECEMBER 4, 2024

Engineers need to build and orchestrate the data pipelines, juggle the different processing needs for each data source, manage the compute infrastructure, build reliable serving infrastructure for inference, and more. Together, Tecton and SageMaker abstract away the engineering needed for production, real-time AI applications.

ML 87

ML Generative AI Machine Learning AI 87

Marktechpost

APRIL 1, 2024

Addressing this challenge requires a solution that is scalable, versatile, and accessible to a wide range of users, from individual researchers to large teams working on the state-of-the-art side of AI development. Existing research emphasizes the significance of distributed processing and data quality control for enhancing LLMs.

Large Language Models 113

Large Language Models ETL Data Ingestion Data Quality 113