Rodrigo Ceron

Your data’s been prepared: Now train the AI model

AI, IBM Systems Lab Services, Technical

I recently wrote about how important data preparation is in the lifecycle of an AI project. Providing good data to an AI model is key to making it thrive. However, training it also plays an important role and can impose a few challenges. An AI model learns by repetition. If you don’t train a model more

What’s behind data preparation for AI?

AI, IBM Systems Lab Services, Technical

Data is a fundamental element of AI. If you have no data, you won’t get any meaningful insights from the AI techniques out there. Luckily, we live in a world that generates tons of data every day, and storage has become so affordable that we can now put zillions of bytes of data to use more

AI today: Data, training and inferencing

AI, IBM Systems Lab Services, Technical

In my last blog, I discussed artificial intelligence, machine learning and deep learning and some of the terms used when discussing them. Today, I’ll focus on how data, training and inferencing are key aspects to those solutions. The large amounts of data available to organizations today have made possible many AI capabilities that once seemed more

AI, machine learning and deep learning: What’s the difference?

AI, IBM Systems Lab Services, Insights

It’s not unusual today to see people talking about artificial intelligence (AI). It’s in the media, popular culture, advertising and more. When I was a kid in the 1980s, AI was depicted in Hollywood movies, but its real-world use was unimaginable given the state of technology at that time. While we don’t have robots or more