In the era of digital transformation and rapid technological advancements, data has become a vital asset for organizations across various industries. Technological advancements in data processing have paved the way for next-generation intelligent systems capable of handling massive volumes of data, processing it in real-time, and deriving valuable insights.
In the present era, novel technologies such as Artificial Intelligence, Edge Computing, Federated Learning, Quantum Computing, etc., have unlocked the potential to process continuously generated large volumes of information. The integration of big data frameworks, real-time processing, in-memory computing, AI/ML algorithms, and edge computing has revolutionized data processing capabilities, enabling organizations to build intelligent systems that drive innovation, optimize operations, and deliver personalized experiences. The main objective of combining these technologies is to maximize the computing power of the devices for implementing intelligent decisions to bring autonomy. As technology continues to evolve, we can expect further advancements in data processing, fuelling the growth of intelligent systems and shaping the future of various industries.