With a major technical skills shortage plaguing companies across many different industries, the use of AIOps among DevOps teams can play a crucial role, helping them ensure the quality of the software that they develop and deliver.
Modernizing accounts payable is the need of the hour in many businesses. That often means supporting cutting-edge features and self-sufficient automated workflows.
The complexity of retail is begging for more investment in AI/ML to determine how much it can improve the way companies interact with customers and each other.
AIOps will enable the use of network analytics to enhance the customer experience for use cases such as energy efficiency improvement, network planning, and roaming cost reduction.
In this week's real-time analytics news: Accenture is with Mars to modernize its global manufacturing operations with AI, cloud, edge technology, and digital twins.
In this week's real-time analytics news: Qlik strengthened its partnership with Databricks expanding the ability of customers to leverage the cloud.
In this week's real-time analytics news: The NSF and Amazon awarded about a dozen organizations $9.5 million for projects that seek to root out unfairness and bias in AI and ML.
Banks and financial institutions, eyeing the shift to mobile banking, are reacting quickly to improve the experience of their users. That will set them up to influence customer preferences for digital channels and drive the future of banking.
NIST makes a strong argument for looking beyond data and even the ML processes to discover and destroy AI bias
Graph databases and knowledge graphs have a number of built-in advantages when it comes to overcoming the challenges of data integration.