🔧 AI Agents for Data Warehousing

The term "data warehousing" was first introduced in the 1980s, referring to the practice of storing data from various sources within an organization. The collected data is then utilized for reporting, decision-making, accurate analytics, better customer insights, and handling ad hoc queries.

However, traditional data warehousing techniques come with significant challenges, including high setup and maintenance costs, slow processing speeds, and scalability limitations. However, with the rise of artificial intelligence, the introduction of DW Agent AI is revolutionizing data management, making processes more automated, efficient, and scalable.