Everyone is talking about artificial intelligence, but you wonder how you can apply it in your organisation in a simple and effective way?
In this blog, we will guide you through practical use cases that will show you the real and tangible application of generative AI in your day-to-day business.
Before looking at examples of how to use generative AI, it is important to understand that, although it may seem complicated at times, it is actually a very powerful tool that you can apply in a multitude of use cases in your business, making tasks simpler and adding value from the very first moment.
Current Use Cases
- Content Personalisation:
Imagine delivering personalised content to your customers automatically. Generative AI can analyse preferences and past behaviour to deliver unique experiences, increasing customer satisfaction.
- Repetitive Task Automation:
Simplify routine operations. From email sorting to data management, generative AI can do the heavy lifting, allowing your team to focus on more strategic tasks.
- Creative Content Creation:
Creative content generation, from images to ad copy, can be simplified with generative AI. Unleash your team’s creativity and optimise marketing processes.
New Use Cases:
- Employee Onboarding:
Simplify the onboarding process for new employees. Generative AI can personalise the onboarding experience, tailoring it to the specific needs of each employee. For example, offer key information, set personalised tasks and provide relevant resources to facilitate onboarding.
- E2E processing:
Generative AI can handle end-to-end (E2E) processes, from information gathering to document submission. For example, in administrative processes, AI can collect necessary data, complete forms and verify information, significantly speeding up the process.
- Provide insight into business KPIs:
Generative AI can analyse large data sets and provide valuable insights into your business KPIs. For example, it can identify trends, predict patterns and offer strategic recommendations based on data, allowing you to make informed and efficient decisions.
Practical Implementation: How Can You Do It in Your Organisation?
1.Identify Areas for Improvement:
Analyses processes and tasks that could benefit from automation or customisation.
2.Explore Existing Solutions:
Research available generative AI platforms. You may discover tools ready to deploy in your industry.
3. Small Pilot:
Start with a small use case and evaluate the results. A pilot will allow you to fine-tune and improve the implementation.
4.Continuous Learning:
Generative AI improves over time. Foster a continuous learning environment to get the most out of this technology.
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