How to scale your AI use cases: A checklistÂ
The business case for AI is realized when the application is scaled, not in the use cases of the pilot phase. Use the checklist below at the outset to ensure the transition...
Brain Circuits
How to beat boredom with GenAIÂ
GenAI allows human talent to focus on more creative, complex tasks, leading to greater job satisfaction and well-being. Quentin Gallea outlines three ways you can use it to automate routine tasks, and how to get more out of the technology through experimentation.
Automating routine tasks
Humans are not very effective at these. Letting the machines do it for you means you can focus on more cognitive-intensive tasks where humans have a comparative advantage. Use GenAI models to:
Write emails
Generate automatic, generic email answers in applications such as Microsoft Outlook, freeing up time to compose more complex or personal emails, or do other tasks.
Take minutes
Take the minutes of meetings via videoconferencing tools such as Zoom and share the results with participants, freeing them from the burdensome task of notetaking and editing, and allowing for full engagement without diverting focus or resources.
Glean information from reports
GenAI programs are highly efficient at gleaning information from reports, however complex. Many of us have a long list of documents to read as part of our work. Instead of reading entire documents in search of specific information, give it to a GenAI model and ask the questions that need answering.
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Experimenting with the tech
The above are only a handful of examples of GenAI’s capacity to free up time and create space for more valuable tasks. You don’t need a computer science doctorate to experiment with the tools. Here’s how to start:
Talk to the model
Explain tasks to the GenAI model exactly as you would train a person to create an app.
Develop your own GenAI app
Ask your coders to create an app to boost productivity, help colleagues, or connect with clients.
Play around with prompt engineering
Better inputs (prompts) into a GenAI model make for better results. Writing better prompts – “prompt engineering” – enables the model to carry out its tasks better, whether that’s generating code, writing emails, analyzing text, or engaging with customers via chatbots.
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Key learning
Whether it’s through automating mundane tasks, enhancing creative processes, or developing new skills such as prompt engineering, the potential for growth and innovation using Gen AI tools is unlimited. Given how fast the world of AI is moving, you stand to gain a serious competitive advantage by integrating the tools into your business early.
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