How to Streamline Your Automation Efforts in 2022
Beyond simple automation, RPA processes can use AI, ML, and other advanced computer technologies to build a foundation that streamlines entire business processes.
IBM Delivers Real-Time AI for Transaction Processing at Scale
The new IBM z16 offers AI inferencing (delivered via the integrated on-chip AI accelerator IBM Telum Processor) and is designed to analyze real-time transactions, at scale, for mission-critical workloads.
Bringing Real-Time to Streaming Analytics with Digital Twins
ScaleOut's integration of its real-time, digital twin streaming service running in the Azure cloud and Microsoft’s Azure Digital Twins platform lets Azure Digital Twins users leverage in-memory computing and extend their use of digital twins to provide real-time analytics at scale.
Understanding Continuous Intelligence and Its Role in Digital Transformation
RTInsights editor Joe McKendrick and Sumo Logic CTO and Co-Founder Christian Beedgen offer advice for developing a continuous intelligence strategy to support digital transformation efforts.
Real-time Analytics News for Week Ending April 2
In this week's real-time analytics news: MIT launched a collaborative program with industry to develop enhanced energy efficiency AI hardware systems.
Real-time Analytics News for Week Ending March 26
In this week's real-time analytics news: NVIDIA's GTC conference saw many new offerings from the company and its partners to accelerate AI and extend its use to new application areas.
AI in Manufacturing Is Driving Digital Transformation
As AI in manufacturing changes how machine health is monitored and managed, companies will need machine ops specialists to bridge the gap between operations and maintenance.
Real-time Analytics News for Week Ending March 12
In this week's real-time analytics news: Snowflake and Google announced major acquisitions, Databricks intro'd a lakehouse platform for healthcare and life sciences, and more.
6Q4: Data Council’s Pete Soderling, on Data Council Austin and the Importance of Community in Data
Upcoming Data Council Austin event founder sees great value in bridging the gap between data science, engineering, and analytics.
Managing “Over-the-Top” to Improve the Bottom Line
Service providers need better tools and insights to understand the relationship between their infrastructure, service delivery, and end-user quality of service.