Using Web Agents to Detect Fraud and Achieve Real-time Insights
Effective fraud detection necessitates understanding the meaning of streaming data in context, in real-time, and at
How real-time data is used in business analytics, including predictive, descriptive, and prescriptive uses. Edge analytics is also explored.
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 …
Apache Druid is designed for speed, scale, and streaming data, which makes it well-suited for use when analyzing sensor data.
In this week's real-time analytics news: NVIDIA introduced an AI foundry service to speed the development and tuning of custom generative AI applications on …
While most associate smart manufacturing with improvements in operational efficiencies and faster time to market, the same principles and solutions deliver …