AI News

OCTOBER 17, 2024

Data integrity and security emerged as the biggest deterrents to implementing new AI solutions. Executives also reported encountering various AI performance issues, including: Data quality issues (e.g., Additionally, 65% expressed concern about IP infringement and data security.

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Big Data AI AI Data Quality 246

Aiiot Talk

SEPTEMBER 13, 2023

“Global data volumes may exceed 180 zettabytes by 2025.” Expands Data Capacity Cloud computing significantly boosts data capacity. Global data volumes are expected to exceed 180 zettabytes by 2025. Its global network of data centers ensures fast data access and scalability.

Data Science 130

Data Science Data Scientist Machine Learning Big Data 130

Pickl AI

NOVEMBER 4, 2024

Introduction Data Engineering is the backbone of the data-driven world, transforming raw data into actionable insights. As organisations increasingly rely on data to drive decision-making, understanding the fundamentals of Data Engineering becomes essential. from 2025 to 2030. million by 2028.

Data Quality 52

Data Quality ETL Data Integration Machine Learning 52

Pickl AI

OCTOBER 11, 2024

These include the database engine for executing queries, the query processor for interpreting SQL commands, the storage manager for handling physical data storage, and the transaction manager for ensuring data integrity through ACID properties. Data Independence: Changes in database structure do not affect application programs.

Data Integration 52

Data Integration Metadata Big Data Algorithm 52

IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

Data Scientist 253

Data Scientist Metadata Responsible AI Explainability 253