Success Kit: Enterprise Architecture for Financial Services & Banking (White Paper)

Companies that develop or support products in the field need to transition from reactive to predictive maintenance and service. Such a transition is possible using ubiquitous connectivity and predictive analytics on machine data. Here's how.

Although edge architectures differ fundamentally from conventional cloud and on-premises environments, edge isn’t an alternative to traditional infrastructure strategies as much as it is an augmentation of them.

The relationships banks have with their customers can last for decades, but too many banks fail to use the data they have to provide personalized digital banking services. 

Every transaction, order, customer interaction, and internal operation depends on decisions. At a time when businesses are under pressure to improve efficiencies, cut costs, and be more responsive, automating decisions becomes essential. While many businesses have picked off the low-hanging fruit when automating, most need to add more. Specifically, businesses want to automate complex decisions, involving multiple steps, multiple data sources and many rules.

Enterprise leaders call on providers to address the automation gap between enterprise IT systems and service provider networks.

Building a Shared Responsibility Model into a company’s long-term strategy is a critical part of running successful operations.

Discover how data governance in ERP systems lays the foundation for business success by ensuring data accuracy, compliance, and efficiency. Learn key strategies and best practices.

Explore why countries are prioritizing sovereign AI, the advantages of domestic AI ecosystems, and key insights from the World Economic Forum.