Data? What can the future bring us?

What can the future bring us??

The system (Power BI) offers a self-learning algorithm through Machine Learning that can predict what potential outcomes and developments may be. But it is important that people continue to look at the data and evaluate the predicted outcome. The system can recognize and predict several returning methods and outcomes. This can help with the readability of the data. See this as a helping tool. ?

??“Predictions estimate the world will generate 181 zettabytes of data by 2025.” (Source: Techjury.net)

?The next step is Deep Learning, where Machine learning stops, we go one step further. With this you will explain step by step to the system which direction the learning curve should go. The basis must be properly laid down. Within the set reach the system can be steered and evolved. Setting the boundaries keeps you in control and prevents the system from learning the wrong algorithm and drifting further and further by means of a wrong interpretation. If you can control this, you can predict and learn even better. ?

?This can best be explained with learning to ride a bike as a kid. We start with a bike with side wheels, then we remove the side wheels. By cycling, trial and error, eventually, you get the hang of it. But it doesn't stop there. Every child learns to ride a bike without hands, whilst this is never learned. That process is the deep learning curve. The best way is to evaluate, to control and correct it when needed. And otherwise, let the system learn and evolve. If you do that in an optimal way, Deep Learning can find its way further and further. Just like the child on the bike who learns and develops more and more through trial and error. (where we never know how far the will go).?

??“95% of businesses cite the need to manage unstructured data as a problem for their business.” (Source: Techjury.net)

?So will our dashboard evolve, it is yet far away but we believe we can make it work eventually.?

?A few fun facts about data: (Source: Techjury.net)?

• The big data analytics market is set to reach $103 billion by 2023.?
• Poor data quality costs the US economy up to $3.1 trillion yearly.?
• In 2020, every person generated 1.7 megabytes in just a second.?
• Internet users generate about 2.5 quintillion bytes of data each day.?
• 95% of businesses cite the need to manage unstructured data as a problem for their business.?
• 97.2% of organizations are investing in big data and AI.?
• Using big data, Netflix saves $1 billion per year on customer retention.?
• Predictions estimate the world will generate 181 zettabytes of data by 2025.?