The Role of Predictive Analytics in Retail Banking
The combination of human interaction and AI’s predictive analytics will drive success through informed decision-making, better rick management, and improved …
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
The combination of human interaction and AI’s predictive analytics will drive success through informed decision-making, better rick management, and improved …
Promising developments, including KRaft, simplified protocols, two-phase commit support, Docker images, GraalVM support, and Kafka queues, will solidify …
RTInsights talks with Siemens about the need to convert to smart factories, the technologies that can help, and the benefits that automakers can derive from …
Effective fraud detection necessitates understanding the meaning of streaming data in context, in real-time, and at
Holistic transformation requires a digital strategy that’s focused on helping your team become digitally enabled and insight-led.
Kafka Streams is pivotal to Kafka's evolution, enabling it to adapt to scalability and performance demands.
In this week's real-time analytics news: IBM, Meta, and more than 50 organizations launched the AI Alliance to advance more open AI.
Generative AI and other analytics makes this possible to extract intelligence automatically from an SMB's own custom data of historical transactions and …
Today, Apache Kafka is a widely used technology, with applications ranging from real-time data processing to stream processing, event sourcing, and messaging …
Incorporating real-time data into mobile app development isn't just about delivering data faster. It's about creating more engaging, personalized, and …