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.
Researchers Teach AI to Recognize Neurons
Researchers hope to create a proper training database to allow AI to take over neuron identification by using topological data analysis.
How Microservices Developers in Financial Services Use Streaming
Using a microservices-based architecture offers the flexibility to add new data sources and use new analysis engines without rewriting entire applications.
Putting AI to Work in the Enterprise
A Deloitte AI Institute global survey finds businesses are achieving competitive advantage from AI and expect to see increasing AI-powered transformation in the future.
TIBCO to Acquire ibi to Expand Enterprise Reach
The acquisition adds data integration, quality, and governance expertise, while expanding the platforms data virtualization technologies can be applied to.
Health Care’s Intelligent Transformation Continues to Disrupt the Industry
AI-enabled EHR solutions are solving operational issues and streamlining care coordination in ways that weren’t possible just a few years prior.
Real-time Analytics News Roundup for Week Ending October 17
A roadway intelligence platform for city, state, and county government agencies; numerous partnerships that bring intelligence to business processes, and more.
Cybersecurity and Digital Trust Companies Team for IoT Threats Detection
The IoT Threats Detection service will use machine learning and traffic analysis to learn legitimate behavior and detect anomalies.
Real-time Analytics News Roundup for Week Ending October 10
IBM spins off managed infrastructure services unit to focus on hybrid cloud to drive digital transformation, Automation Anywhere makes automation easier, and more.
Managing Data Privacy in a COVID World: How to Ensure Remote Access and Cloud Services With Confidence
With the accelerated movement of data to the cloud, the need to ensure data security as efficiently as possible has never been as important as it is now.