AI in Action

AI-supported social media and online media monitoring has become an indispensable tool for businesses, organizations, and individuals alike. By leveraging artificial intelligence, these platforms can efficiently track, analyze, and interpret vast amounts of data from various online sources, including social media platforms, news articles, blogs, and forums. Key Benefits of

In our previous post  (Navigating Custom AI Development – Part 1 :: Setting the right metrics), we explored the critical decisions to be made before embarking on custom AI development. Now, let’s dive into the essential steps of training your AI model once you’ve committed to this path. AI Model

When you’ve determined that custom AI development is necessary (see: The Untold Advantages of Custom AI development), it’s crucial to approach it as a project with well-defined objectives. Let us suppose that we have that as a baseline and let’s now focus on the aspects that make custom AI development

Embarking on a custom AI journey can be a significant investment. Yet, for many organizations, the rewards far outweigh the costs. In industries where your operations are truly one-of-a-kind, or your data privacy is paramount, a custom AI solution can be the game-changer you’ve been seeking. But let’s see first

We’ve all been there – you’ve finished shopping, only to be met with a dreadfully long queue at the checkout. It’s a scenario that plagues retailers worldwide. Having the right number of cashiers is a delicate balance between minimizing customer wait times and managing operational costs. For major supermarkets, this

One of the crucial preprocessing steps for large language models (LLMs) is tokenization. Via tokenization we are converting the input text into tokens and reconstructing the output tokens back into text. The most common approach is to treat tokens as subword units. We apply this approach because using words directly

As artificial intelligence rapidly advances, the development of increasingly complex models has become a reality. However, with this newfound complexity comes a pressing need for transparency. Transparent AI models not only demystify these intricate systems but alleviate fears. At the same time they also to pave the way for more

As businesses grapple with exponentially growing data volumes, keeping operational costs in check is paramount. For our client, a top provider of premium real estate data and imagery, their sophisticated image matching algorithms were becoming prohibitively expensive as their database exploded. Optimization with AI brought the break-through that they were