Website: https://dataplatr.com/blog/ora....cle-financial-gl-ana

Dataplatr, a GenAI-powered data strategy and consulting services provider, today announced the launch of its Financial (General Ledger) Analytics Accelerator on the Databricks Marketplace. This pre-built solution enables enterprises running Oracle E-Business Suite (EBS) and/or Fusion applications to modernize their GL analytics and financial reporting directly within the Databricks Data Intelligence Platform.

Website:https://dataplatr.com/blog/sig....ma-access-control-an

Business-Driven Approach to Sigma Access Control

For data-driven organizations, properly managing user access to analytics platforms is essential to safeguard sensitive information and maintain governance standards. At our data platform services company, we implemented robust Sigma access control to ensure that only authorized users could access specific data folders and reports

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.