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.

Website: https://dataplatr.com/blog/dat....a-governance-framewo

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.

Website: https://dataplatr.com/blog/gen....erative-ai-use-cases

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.

Website: https://dataplatr.com/blog/dat....a-governance-framewo

What is a Data Governance Framework?
A data governance framework is a structured approach that defines how an organization manages its data assets. It outlines the policies, roles, responsibilities, processes, and standards needed to ensure data is accurate, consistent, secure, and used responsibly across the organization.

Website: https://dataplatr.com/blog/mul....timodal-ai?utm_sourc


What is Multimodal AI?
Multimodal AI refers to artificial intelligence systems that can process, integrate, and interpret data from multiple ways. A "modality" refers to a specific type of data such as text, speech, images, or sensor signals. By combining inputs from various sources, It can form a richer and more accurate understanding of the context compared to unimodal systems, which rely on only one data type.