Why the Development of AI Could Be Considered “a Race to the Bottom”

Want to be a business without hearing how artificial intelligence is changing the industry? Good luck; it’s a big deal that this technology has flourished in recent years, and businesses have found all kinds of ways to implement it. While AI has significant capacity for growth and to be an excellent tool to help human society, a lack of AI regulation has led some to believe that it’s only a matter of time before something bad happens that ruins a good thing for everyone.

Tip of the Week: How to Keep LinkedIn from Using Your Data to Train AI

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. 

Your Business Processes Rely on Clean Data

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.

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