Businesses are seeking ways to collect all the data from their digital sources and draw out patterns that can reinterpret human participation with automation. A vanguard in this attempt is the emergence of large language models (LLMs) powered by artificial intelligence (AI).

Given its intricate and cross-system nature, effectively managing master data necessitates a robust technological infrastructure. The process begins with data collection, utilizing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes for normalization and integration.

The Nvidia study found that AI has already been a game-changer for retailers, with 69% reporting an increase in annual revenue attributed to AI adoption and 72% of retailers that already use AI saying they experienced a decrease in operating costs. According to recent reports, the global AI in the retail market is expected to reach $40.74 billion by 2030, witnessing a CAGR of 23.9% from 2022 to 2030. The increasing market size can be attributed to the increased digitization across the retail sector.

According to a survey by Markets and Markets, the EdTech sector is seeing an unparalleled upswing, with the worldwide market size expected to reach an astounding $232.9 billion by 2027 at a CAGR of 13.2% over the period 2022–2027. This extraordinary expansion highlights the critical need for Edtech software testing services as well as a revolutionary change in how we study and access educational information.