DIVERSITY Blog

Step 1: Identify the problem(s) you want to address with AIStarting your AI proof of concept (PoC) journey can be thrilling. But first, you need a clear understanding of the problem you're trying to solve with AI. The selected use case should be significant and something that AI can handle more effectively than other technologies. 💡 If you're unsure, look at how others in your field are leveraging AI or examine your company's challenges and compare them with AI's potential.Once you have a list of opportunities, ask yourself these questions:Is the problem specific enough? Can you measure success?Have you tried to solve this problem with other technologies?Do you have the talent and funding to support this project? If not, can you hire an external team?How will it impact your business? Is th... Read more

Are you facing the dilemma of implementing a new technology or IT solution in your company?Uncertainty about its effectiveness, risks, and profitability can hinder your decision.Proof of Concepts (PoCs) emerge as a strategic tool to dispel these doubts, reducing risks, increasing efficiency, and saving costs in IT projects.Technological advancements in a fast-paced environmentThe constant technological evolution demands agile and precise decisions. PoCs allow you to evaluate emerging technologies, validating their technical feasibility and fit to the specific needs of your company.Use cases to optimize your businessPoCs adapt to a wide range of use cases, such as:Performance testing: evaluate the capacity and speed of a new technology to handle your company's workload.Functi... Read more