As we approach 2024, the discussion around the possibilities and practical applications of artificial intelligence (AI) for business continues. Organizations want to understand what AI can do for them today and how to apply it in their nuanced environments.

Artificial intelligence bias refers to situations when AI produces biased, incorrect, or incomplete conclusions due to gaps in training and data availability. Because it is created based on machine learning about data, it requires diversified training and data to produce unbiased results.

As an app development consultancy, staying on top of the latest trends in user interface (UI) technologies is crucial to making informed recommendations about our client’s app architectures. One of the easiest ways to compare popularity of stacks is based on job openings for each of the technologies.

Business today calls for data—the understanding of it, the practical application of it, and the powerful use and understanding of it. It fuels innovation, drives decision-making, and empowers organizations to stay competitive.

Let’s get candid about the most common automation mistakes no one’s brought to your attention so that you can identify actual automation game changers.

For some companies, the focus on productivity is nonstop. For others, the necessity to deal with productivity grows in an uncertain economic climate. The ability to adapt, innovate, and streamline operations is crucial for staying competitive.