AI is rapidly growing and companies are actively looking at how to use AI in their organization and automate things to improve profitability.
Approaching the problem from business management perspective, the ideal areas to automate will be around the periphery of business operations where jobs are usually routine, repetitive but needs little human intelligence - like warehouse operators, metro train drivers etc., These jobs follow a set pattern and even if there is a mistake either by human operator or by a robot - the costs are very low.
Business operations tends to employ large number of people with minimum skills and use lots of safety systems to minimize costs of errors. It is these areas that are usually the low hanging fruits for automation with AI & robotics..
Developing an AI application is a lot more complex, but all apps have 4 basic steps:
1. Identify area for automation: Areas where automation solves a business problem & saves money
2. Identify data sources. Automation needs tones of data. So one needs to identify all possible sources of data and start collecting & organizing all the data
Once data is collected, AI applications can be developed. Today, there are several AI libraries and AI tools to develop new applications. My next blog talks about all the popular AI application development tools.
Once an AI tool to automate a business process is developed, it has to be deployed, monitored and checked for additional improvements - which should be part of regular business improvement program.
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