Do You Really Need More Data for Machine Learning?
In Synaptiq’s recent webinar, Making AI Work When You Don't Have Enough Data, Dr. Tim Oates, Co-founder and Chief Data Scientist, tackled one of AI’s most persistent myths: that large datasets are always needed for an AI or machine learning initiative. While data is the fuel of machine learning, a full tank isn’t always necessary. The “right” amount of data depends on the task, the quality of information you start with, and the expert guiding the project.