Website: https://dataplatr.com/blog/ai-....agents?utm_source=Ar

What are AI agents?

AI agents are smart software programs that can sense their surroundings, analyze information, and act in ways that help them reach defined objectives. They are often seen as a key building block of agentic AI. Unlike traditional software that follows rigid instructions, an AI agent is capable of adapting its behavior based on the data and feedback it receives.

https://dataplatr.com/blog/tra....ditional-ai-generati

Generative AI has taken the world by storm. It promises to change how we create, interact, and build new things. How does this powerful new AI stack up against "traditional" AI? We have relied on traditional AI systems for many years. The difference between these two types of AI is not just for experts. It greatly impacts businesses, researchers, and people using AI every day.

Website:https://dataplatr.com/blog/dat....a-science?utm_source

What is data science?

Data science is the study of data to extract meaningful insights for business. It is an approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze and to drive business decision-making. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results.

Website:https://dataplatr.com/blog/dat....a-lakehouse-architec

What is Data Lakehouse Architecture?

Data lakehouse architecture allows organizations to manage both structured and unstructured data within a single, scalable system. It supports diverse use cases like business reporting, real-time analytics, and machine learning, all within a single system. This flexibility is made possible through five foundational layers that work together to collect, store, manage, and deliver data efficiently.

Website: https://dataplatr.com/blog/dat....a-lakehouse?utm_sour

What Is a Data Lakehouse? Benefits, Features & Platforms

A data lakehouse is a system that brings together the best features of both data lakes and data warehouses. It allows businesses to store all kinds of data, structured like tables or unstructured like images or logs, in one place.
In the past, companies used data lakes to store raw data and data warehouses for organized, ready-to-use data. But this often caused problems like data duplication and slow workflows.