Businesses are encountering difficulty in delivering AI results to their business teams. Today, AI can open up new avenues in the value chain, and realizing this becomes increasingly urgent as markets evolve and competition intensifies. Employing AI for business outcomes is no longer an advantage but rather an integral part of every organization's strategy., and what used to be a simple database or file system has now evolved into data lakes and data warehouses.
CTOs, CDOs and CIOs are under pressure to realize the potential of AI when applied to data sitting in the data lakes and data warehouses. This approach should not just focus on historical data. It should also incorporate real-time processing of newly collected data. By using stream processing methods, companies can analyze data as it comes in. Technologies such as Apache Kafka and Apache Flink empower businesses to handle and respond to data promptly, avoiding delays associated with batch processing.