Dr. Sigal Shaked, Co-founder and CTO, at Datomize, discusses the best approach to overcome data challenges and achieve strong data governance. Sigal has extensive experience of more than 15 years working with data in different fields.
AI/ML models are starved for data
Largest barrier in AI implementation is the lack of usable and relevant data. Linear algorithms need hundreds of examples per class, while more complex algorithms need tens of thousands to millions of data sets.
When a model is trained with insufficient data, there is a high risk that it won’t work effectively when new data is added.
steps to overcome data challenges...Here's how
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