What Does “On the Bias” Mean? According to Merriam-Webster, the definition of on the bias is”1. diagonally to the grain of a fabric” and “2. at an angle:diagonally to the fibers of something.” In our context, cutting on the bias means to cut at an angle. For example, when ...
What is an example of a real-world impact of algorithmic bias? How can everyday users check for algorithmic bias? Author Abid Ali Awan As a certified data scientist, I am passionate about leveraging cutting-edge technology to create innovative machine learning applications. With a strong backgr...
Competitive intelligence is vital when starting a business. By doing market competition analysis on an ongoing basis, you can stay on top of your competition. You’ll be able to break into new markets, launch new products, and keep tabs on your competitors’ customers—giving you a cutting-ed...
The anchoring bias happens when you depend too heavily on the first piece of information you encounter (the ‘anchor’) when making decisions. In essence, it’s a cognitive shortcut; one we often take without even realizing it. Anchoring bias is often used as a cognitive shortcut, also kno...
So, with many organizations already experimenting with generative AI, its impact on business and society is likely to be colossal—and will happen stupendously fast. The obvious downside is that knowledge work will change. Individual roles will change, sometimes significantly, so workers will need ...
more complex and dynamic situations than other methods because it allows the context of the project goal to influence the risk in choices. Teaching a computer to play chess is a good example. The overall goal is to win the game, but that may require sacrificing pieces as the game goes on...
Each definition is slightly different – and tends to reflect the field of endeavour of each pioneer. It was the same whoever I asked: the prominent historian would say exploration was a thing of the past, the cutting-edge scientist would say it was of the present. And so on. They each...
Multimodal learning: Some cutting-edge deep learning models are trained multimodally to generalize across different types of information; for example, a model trained on text could predict information about speech or images. Interpretability: While deep learning models remain relatively opaque, we may ...
Cross-cutting decisions,such as pricing, can be frequent and high risk. These are usually made by business unit heads, in cross-functional forums as part of a collaborative process. These types of decisions can be improved by doubling down on process refinement. The ideal process should be one...
more complex and dynamic situations than other methods because it allows the context of the project goal to influence the risk in choices. Teaching a computer to play chess is a good example. The overall goal is to win the game, but that may require sacrificing pieces as the game goes on...