What Developers Need to Know about Events, EDA, and Event Meshes
Event-driven architectures and event meshes enable today’s modern distributed, cloud-native applications that are responsive to state changes.
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
3 Things Preventing Your Business from Being Remotely Consumable in the Era of Distancing
Without fail, the fastest moving and most resilient companies are laser-focused on two things: ecosystems and reducing
Real-time Analytics News Roundup for Week Ending November 14
IBM updates its Cloud Pak portfolio, Dell Technologies offers integrated HPC systems to accelerate AI in manufacturing and genomic research, and more.
3 Major Challenges in Adopting Industrial Internet of Things (IIoT)
If issues in the adoption process aren’t addressed, the value realized through IIoT will be far short of
The Role of Enterprise Architecture in Business Transformation
Enterprise architecture is no longer just about technology assets. It is also about business capabilities, application data flows, and customer
Real-time Analytics News Roundup for Week Ending November 7
The Pope weighs in on AI, Amazon Web Services rolls out instances based on next-gen GPUs, software and tools make access to quantum computing easier, and more.
4 Ways Automation and Big Data Drive Great Customer Experience
Workload automation is the foundation of the digital transformation necessary to deliver a great customer experience
Real-time Analytics News Roundup for Week Ending October 31
In the news this week: digital twins, processor market consolidation with implications for AI, and solutions that make it easier to deploy to any platform.
IBM Launches an AI-Driven Civil Infrastructure Initiative
IBM's tool will allow users to streamline maintenance decisions and move towards data-driven
Pandemic Proves the Business Value of Rapid Analysis and Insight in the Midst of a Data Revolution
COVID-19 highlights the need for innovative data processing technologies to make sense of companies’ massive data