Aiding Banks in Their Transition to Real-Time Financial Services
Today’s banking customers expect real-time interactions and are used to getting an instant response when using applications or accessing services.
Today’s banking customers expect real-time interactions and are used to getting an instant response when using applications or accessing services.
Remember, there is no AI without IA. Make sure that information architecture works and your AI will function appropriately.
In this week's real-time analytics news: partnerships and collaborations top the charts as companies and groups aim to make use of AI and cloud-native technologies easier.
An experimental traffic signal controller system uses self-learning algorithms and can adjust traffic flows based on changing conditions.
Data management, analytics, data science, and real-time systems will converge this year enabling new automated and self-learning solutions for real-time business operations.
On the skills front, utilities must look to foster a digital culture that encourages continuous learning, agile development, and innovation.
Data fabrics are the best way to ensure that digital transformations are successful and rooted in connected data that can be queried no matter its location, based on its business meaning and value to the enterprise.
A new system uses AI to automatically find relevant broadcast-quality video clips from any broadcaster and embed them in an article in seconds.
As you understand what AI, ML, predictive and prescriptive analytics are, you will see what analytics you need in your organization and how each type can help you.
Real-time systems must be updated and modified in real-time as soon as an issue is identified. Hence the need for real-time squared.