16th Oct 2023
The use cases: Getting it right
While each industry may present unique use cases, there are certain horizontal use cases and solutions which will get adopted across industries.
Ideal use cases being the ones involving Language orientated tasks, where human effort is high but the validation of results is relatively easier leading to higher automation and business value realisation
Combining digital capabilities with Generative AI for the right use cases:
Generative AI can serve as the core of a solution, yet in many instances, it will primarily be an enabler, which can incrementally help do things better, faster and cheaper.
When Generative AI capabilities are integrated with other digital services (available on most cloud platforms), it can help in crafting end to end digital solutions to solve business problems.
Let’s take a closer look at some possibilities:
Lets look at some use cases to corroborate this further –
A smart field assistant solution designed for field operators to access essential information regarding equipment and machine components in a human-like conversational manner. This use case is particularly pertinent in industries such as manufacturing, oil & gas, or any field involving machinery. The solution combines Generative AI + digital services to:
Which eventually would help:
SA supplier onboarding assistant empowered by Generative AI capabilities for procurement teams. This cross-industry solution can bring in the the following capabilities:
To conclude …
The essence lies in exploration, controlled experimentation and evaluation of results – to craft impactful digital solutions