My company recently celebrated 44 years in business and yet we are only at the beginning of a whole new reinvention. In fact, I foresee AI bringing a new dawn for many business leaders.
I’ve learned that in this new AI-dominated environment, every leader needs to be a coach, mentor and evangelist setting the course and giving their employees the freedom and resources to grow and be successful. As we see the next phase of digital transformation, it is also important to demystify AI as much as possible. You will often hear people talking about deep learning as part of the AI conversation; this term can sound sinister when in fact it is the opposite.
Deep learning needs lots of data. But it also needs people to harness and turn it into a competitive advantage. Well-informed leaders understand that they need to leverage the deep institutional knowledge of their people to make their enterprises future-ready. Leaders are behooved to chart a transition and training course for their current employees and, thereby, avoid the need to hire outside data consultants and evaporate savings.
Background On Deep Learning
The term typically refers to the use of neural networks with three or more layers. While there is no strict definition of what constitutes “deep,” a neural network with a single layer is often referred to as a shallow network, and those with more than three layers are considered deep.
In practice, deep learning architectures often have many more layers than just three. Deep neural networks are capable of learning intricate representations and hierarchical features from data, which can be beneficial for tasks such as image recognition, natural language processing and more.
Because of how they work, neural networks are said to make decisions more like the human brain. While a machine learning model can only make decisions based on the input data, a neural network sets up procedures to enable it to make decisions that build off the input data. Why does this matter? Because it’s the neural networks that help computers make intelligent decisions with limited assistance. So, they learn and run predictive modeling based on the output of data.
But while this sounds complex, it really is not. AI is nothing more than a big fancy calculator doing a lot of math really fast. AI is not going to take over and rule the world or anything like that. Just like any other tool, if the wrong people use it to do the wrong things, it can hurt people. I find that there has been a lot of fearmongering about AI, taking
