Agile AI Platform Architecture with the Agile Cloud Manager
Part 1 of 10: Problem Definition And How Agile Cloud Manager Solves The Problems
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SECTION ONE: Problem Definition And How Agile Cloud Manager Solves The Problems
The problem many organizations face is that implementation of A.I. at the enterprise level requires overcoming many hurdles.
Specifically, A.I. transformation requires:
- Data maturity.
- DevOps maturity.
- Reproducible environments.
- Re-architecting many systems.
- Compliance with laws that are different in each of many different regions across the planet.
- Organizational change.
- And a budget to fund the transformation.
A solution to this collection of problems involves simplifying the management of all of your systems using a free tool called Agile Cloud Manager.
Agile Cloud Manager enables an organization to simplify its A.I. evolution in several specific ways, including:
- Reducing costs and eliminating redundant engineering efforts by architecting reusable definitions of each of your services using Agile Cloud Manager’s domain specific language.
- Simplifying deployments by using the command line interface to deploy the components that can be architected using Agile Cloud Manager’s domain specific language. The command line interface replaces large quantities of pipeline code that would otherwise cost your organization a lot of money to develop and maintain for each of what would otherwise be many redundant systems.
- A smaller attack surface also results from reducing the amount of code that is required to define and manage your systems.
- Agile product management can also be used to define and evolve each of the smaller number of reusable components that do the same thing for your organization. Agile product management means that requirements can be managed more professionally, and that you can have better centralized accountability for the money that your organization spends developing and maintaining its systems.
All together, these elements can enable an organization to overcome the obstacles to implementing A.I. by using Agile Cloud Manager.
Next: Proceed to Part 2: How AI Models Address Use Cases
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