Latency Sensitive Applications for the Fourth Industrial Revolution
Many organizations today operate multiple environments, including on premises, edge and public cloud. Building, deploying and running applications in hybrid and multicloud scenarios can bring challenges that impact performance and user experiences. Examples include:
Latency issues that degrade the response time of mobile payment processing that requires payment receipt acknowledgement in less than two seconds
Data residency laws that require data to remain "in country"
Lack of agility, as applications sprawl across many locations, decreasing development velocity
Lack of visibility, as IT teams may be operating as many as 5-8 cloud environments and need visibility into their digital platform and applications for each site
Use deep learning to analyze processes and outputs to continually improve error and defect detection and execute root-cause analysis.
AI can spot issues within milliseconds and will quickly alert the right resource to inspect, diagnose and rectify any issue, anywhere.
Put AI innovation into the hands of reliability and quality professionals.
The streamlined user interface allows domain experts to easily bring data and train models. Users with limited deep learning skills can now build models for AI solutions.
Please submit your details to the right and a Lumen team member will contact you to learn more about your business objectives to explore how Lumen, IBM and RedHat can help.