Organizations are investing in machine learning and real-time data to improve decision making, accelerate revenue generation, reduce operational expenses, and protect against risks. By 2030, the market for streaming data is expected to reach $73 billion, while the machine learning market is expected to reach $210 billion. Real-time data and machine learning can help organizations make better decisions, operate with more efficiency, save money using predictive analytics, and unlock new revenue streams. Real-time decision making can enable businesses to serve personalized recommendations and adjust prices dynamically. Machine learning algorithms can rapidly analyze data to uncover patterns, insights, and trends, which can be used to prevent fraud and create hyper-personalized customer experiences.
