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.

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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.

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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.

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What Is Enterprise AI?

Enterprise AI refers to the integration of artificial intelligence capabilities into core business functions, systems, and workflows across an organization. Unlike generic AI, which may focus on individual tasks or consumer applications, Enterprise AI is built for scale, security, governance, and business alignment.

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Top 10 Generative AI Use Cases Across Industries

Generative AI use cases in marketing include automated content creation, campaign optimization, and audience targeting. Models trained on behavioral and transactional data generate ad copy, product descriptions, emails, and social media content tailored to segmented audiences.