Saturday, May 5, 2018

Enumeration of benefits of full-service and managed service solutions to Do-it-yourself machine-learning applications:
1. Full service is more than software logistics. It ensures streamlined operations of applications
2. It provides advanced level of services where none existed before
3. It complements out-of-box technologies that is otherwise inadequate for the operations
4. It provides a streamlined processing of all applications 
5. A full service can manifest as a managed service or a Software as a service so that it is not limited to specific deployments on the Customer site.
6. Full-Service generally has precedence and the same kind of problem may have been solved for other customers which brings in expertise
7. Full Service offers support and maintenance while the ownership cost may significantly increase for the customer.
8. It offers a change in perspective to cost and pricing by shifting the paradigm in favor of the customer
9. It offers scaling of infrastructure and services to meet the need for growth
10. It offers multi-faceted care for services such as backups, disaster management while home grown projects may not take care of it.
11. The service level agreements are better articulated in a full-service.
12. The measurements and metrics are nicely captured enabling continuous justification of the engagement
13. The managed services offering generally improves analysis and reporting stacks.
14. Managed service model comes with a subscription and lease renewal that makes it effective to manage the lifetime of resources
15. It facilitates updates, patching and reconfiguration and routine software deployment tasks that frees up the customers to focus on just their application development
16. Even clouds can be switched in managed services and they facilitate either a transparent chargeback or a consolidated license fee
17. Managed service and software as a service option enables significant improvements to client appeal and audience including mobile device support
18. A full service can leverage one or more managed services, cloud services or software as a service to provide the seamless experience that the customer needs.
19. It performs integrations of technologies as well as automation of tasks in a way that is meant to improve client satisfaction.  A full service might even go beyond solutions provider in enabling only turnkey or minimal touchpoints with the customer.
20. Since customer obsession is manifested in the service engagement, it improves over all those achieved via existing applications and services with opportunities to grow via addition of say microservices to its portfolio.
21. Sample application: http://52.191.138.87:8668/upload/ for direct access to text summarization

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