Software integration is the process of combining different software parts, or subsystems, into one helping organizations improve productivity by allowing different applications to integrate and communicate more efficiently.

There are 4 main types of software integration:

• Star integration (in which connections between each subset system are created, resembling a star),
• Horizontal Integration (in which a subsystem is created for communication),
• Vertical Integration (creating information silos for each subsystem)
• Common Data Format Integration.

• IaaS
• Infrastructure as a Service (IaaS) provides the basic building blocks of cloud computing. IaaS typically supplies access to networking features, computers such as virtual machines (Windows or Linux), and data storage space. IaaS provides you with the highest level of flexibility and management control over your IT resources and is most similar to existing IT resources. IaaS is usually the first step organizations take when starting to build in the cloud because many IT departments and developers are familiar with the existing methodology.
• PaaS
• Platform as a Service (PaaS) removes the need for your organization to manage the underlying infrastructure such as hardware, operating systems, and device management. PaaS allows you to focus on the deployment and the management of your applications rather than the infrastructure behind it. Pass helps you be more efficient as you don't need to worry about resource procurement, capacity planning, software maintenance, patching, or any of the other homogenous heavy lifting involved in running your application.
• SaaS
• Software as a Service (SaaS) provides you with a completed product that is run and managed by the service provider. In most cases, people referring to Software as a Service are referring to end-user applications. With a SaaS, you do not have to worry about maintaining the application or how the underlying infrastructure is managed; you need to decide how the software will fit into your organization. A typical example of a SaaS application is Microsoft Office 365. Office 365 is a web-based email that you can use to send and receive email without having to manage feature additions to the email product or maintain the servers and operating systems that the email program runs on.

RPA operates by running through a set workflow of tasks, which provides the robot with instructions on what to do at each stage. Once this workflow has been programmed into the RPA, the software can then autonomously run the program and complete the same task again and again to exactly the same requirements.

RPA is software that uses a specific set of rules and an algorithm to automate a specific task. AI is a cognitive solution that emulates human intelligence and is focused more on doing a human-level task. These two techs have the capability to take automation to the next level if both are combined.

Use cases for RPA have expanded into many functional areas. Here are some of the common activities where RPA it’s being applied:

• Accessing web/other enterprise applications
• Collecting statistics data from various applications
• Connecting to system APIs
• Copying and pasting
• Extracting structured data from documents
• Filling in forms
• Following if/then decisions/rules
• Making calculations
• Moving files and folders
• Opening Emails and attachments
• Reading and writing to databases
• Scraping data from the web