NDYNAMICS Blog

Artificial intelligence is a hot topic nowadays, making data an even more valuable resource. After all, AI platforms rely on data to function.

Due to this, many platforms and services collect data from their users to feed these algorithms. LinkedIn was recently discovered to have started doing so—by default—without informing users or updating its terms of service. 

Artificial intelligence (AI) is rapidly transforming the technology landscape, and mobile devices are at the forefront of this revolution. As smartphones and tablets become increasingly powerful and sophisticated, they are becoming ideal platforms for running AI applications. This trend is driven by several factors, including:

Businesses are constantly seeking the best ways to utilize their data. Whether developing a business intelligence strategy, integrating artificial intelligence, or conducting simple analytics, having accurate and reliable data is crucial. Without it, insights can be misleading and costly. Therefore, understanding how to scrub or clean your data is essential. Clean data is vital for anyone involved in business intelligence or AI. Today, we will explore this topic and provide a simple guide to get you started.

You may have noticed the recent attempts by Google to provide AI-generated answers to your queries. You might not immediately understand why AI is such a prevalent thing in arbitrary technology like search engines, but we assure you that there is a good reason for it—a better user experience—even if it does come with mixed results.

Without much fanfare, the AI Wars have commenced. This isn't just a metaphor; it's a true battle for the future of tools aimed at enhancing human productivity. This war for market share will shape the next age of modern computing.