Towards AI

FEBRUARY 17, 2025

Last Updated on February 17, 2025 by Editorial Team Author(s): Paul Ferguson, Ph.D. RAFT vs Fine-Tuning Image created by author As the use of large language models (LLMs) grows within businesses, to automate tasks, analyse data, and engage with customers; adapting these models to specific needs (e.g.,

Database 89

Database Data Pipeline Data Preparation Data Quality 89

Pickl AI

APRIL 9, 2025

It provides insights into considerations for choosing the right tool, ensuring businesses can optimize their data integration processes for better analytics and decision-making. Introduction In todays data-driven world, organizations are overwhelmed with vast amounts of information.

ETL 52

ETL Data Warehouse AWS Business Intelligence 52

Pickl AI

NOVEMBER 4, 2024

Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering? Data Engineering is designing, constructing, and managing systems that enable data collection, storage, and analysis. They are crucial in ensuring data is readily available for analysis and reporting.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Dataconomy

MAY 14, 2025

Announced as a research preview in early 2025, Operator can fill out forms, click buttons, scroll pages and complete online transactions with minimal user input. In short, its analytics-grade data prepared for AI. Equally important, first-party behavioral data is a source of competitive advantage for brands building AI agents.

AI 70

AI AI Data Warehouse Data Pipeline 70

Iguazio

MARCH 20, 2025

Data Management, Security, and Governance Automating, scaling, versioning and productizing data pipelines Ensuring data security, lineage and risk controls Adding application security Adding real-time guardrails and hallucination protection 2. Whats Next in 2025?

AI 59

AI AI Data Pipeline Data Scientist 59