There are four key areas of infrastructure that you need for intelligent automation:
1. Connectivity: You need to be able to connect to all of the data sources that you want to include in your automation. This might include databases, web services, and so on.
2. Storage: You need somewhere to store all of the data that you want to use for your automation. This might be a relational database, a NoSQL database, or some other kind of data store.
3. Processing: You need some way of processing all of the data that you have stored. This might be a simple scripting language, a more powerful programming language, or a cloud-based processing service.
4. Output: You need to be able to output the results of your automation in some useful format. This might be a simple report, a more sophisticated dashboard, or some other kind of output.
Other related questions:
What are the technologies used in intelligent automation?
There is no one-size-fits-all answer to this question, as the technologies used in intelligent automation will vary depending on the specific application or use case. However, some common technologies used in intelligent automation include artificial intelligence (AI), machine learning, natural language processing (NLP), and robotic process automation (RPA).
What is automation infrastructure?
Automation infrastructure is the hardware and software components that support the automation of processes. This includes, but is not limited to, communication networks, computers, controllers, robots, and other automation equipment.
How do you implement intelligent automation?
There is no one-size-fits-all answer to this question, as the implementation of intelligent automation will vary depending on the specific needs of the organization. However, some tips on how to implement intelligent automation effectively include:
1. Define the business goals and objectives that you hope to achieve with intelligent automation.
2. Assess your current business processes to identify opportunities for improvement and automation.
3. Select the right technology platform and tools to support your intelligent automation initiative.
4. Implement intelligent automation solutions in a phased approach, starting with small and pilot projects.
5. Monitor and measure the results of your intelligent automation solutions to ensure they are delivering the desired business outcomes.
What is your automation infrastructure comprised of?
Our automation infrastructure is comprised of a number of different tools and technologies, including:
– Continuous integration server (e.g. Jenkins)
– Configuration management tool (e.g. Puppet, Chef)
– Virtualization platform (e.g. VMware, KVM)
– Cloud platform (e.g. Amazon Web Services, Microsoft Azure)
– Testing tools (e.g. Selenium, Appium)