The Power of Personalization: Driving Digital Banking Success (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.

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.

As fintech companies disrupt the staid world of traditional banking, financial services institutions (FSIs) are trying to keep pace, be competitive, and become relevant by modernizing operations by leveraging the same technologies as the aggressive fintech startups. Such efforts include a move to cloud and the increased use of data to derive real-time insights for decision-making and automation.

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.