In this episode, we take a closer look at the life cycle of an AI project and explore the key stages, challenges, and pitfalls to watch out for.

We'll start by discussing the different phases of an AI project, including ideation, prototyping, development, deployment, and maintenance. From there, we'll delve into the main challenges that companies face when implementing AI, including data availability and quality, model selection, and ethical considerations.

We'll also discuss the advantages that companies gain by adopting AI, such as increased efficiency, improved decision-making, and the ability to uncover new insights.

And we will also discuss the best ways for companies to start bringing value derived from AI, such as starting with a small pilot project, identifying the right use cases, and building a strong team with the right skills.

➡️This episode is spoken in Portuguese

#BI4ALLTALKS #Podcast #ArtificialInteligence #AI

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