Knowledge Terminal

Past, Present, and Future Knowledge

Past data from the best books and current data from academic sources gives you predictive knowledge.

Past

Present

Future

Legacy data captures a historic range of possibilities.

Concurrent data offers trends and insights into probabilities.

Guidance with knowledge for outcomes that are predictable.

Past

Powered with AI Artificial Intelligence and Super Computers (soon quantum computing) begins the adventure of capturing historical data (legacy) and mating it with concurrent data. This is the process that can predict the future.

Predictions are not new to computing, starting with ENIAC (Electronic Numerical Integrator and Computer) in 1945 that was first used to calculate artillery firing tables for the US Army, and later used to predict weather patterns.

Both are now accepted as routine applications.

Present

Healthcare analytics are predicting trends, improving outreach, and managing the spread of diseases, resulting in improvements in patient quality clinical data, diagnoses, and business management.

Presently, computers are predicting and preventing cyber-attacks.

Air traffic controllers are covering plans in the sky and coordinating with 24/7 weather predictions worldwide to help them fly safe. These are just some of the examples of how marrying the past and current data can be useful.

Future

Artificial Intelligence and Quantum Computing will process and analyze data in real time and give predictive analytics for a wider range of applications.

Healthcare analytics will predict trends, improving outreach and management of diseases as well as patient care and business management.

Financial predictive analytics will do more than help investors, it will assist businesses and government in planning.

Predictive Analytics – Possibilities will become probabilities and lead to predictabilities and unknowns will become manageable unknowns.