There is no doubt that Artificial Intelligence or AI is the buzzword of the year. New AI products are announced everyday.
Also in the news though, and rightly so, are the drawbacks and biases of AI and discussions of how to solve these issues.
The core functionality of an AI engine is to ingest huge amounts of data, learn from the patterns in that data, and then apply that learning to answers requested by a user. The lynchpin in this whole process are the initial data sets used to train the original AI model. If you feed the system dirty data, then inaccurate answers will come out the other end. Crap in, crap out.
While this is hardly the only drawback to an AI model, it is one of the easiest ones to solve in an isolated, speciality system. Ensuring that groomed, and most importantly, comprehensive data is fed into a system will go a long way toward ensuring the integrity of your answers.
Strong and comprehensive data isn’t the only component of an accurate AI system, but it is the lynchpin. While good data is not the only thing you need to be successful, bad data is certain to be your downfall. At Seamless Integration Group, we specialize in turning bad data into good data, all while maintaining the integrity of the data.
Give us a call, tell us your problems, and hear our solutions.
