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Bridging the Data Divide in AI: Challenges and Opportunities
We are experiencing a significant gap between business leaders’ ambitious goals. The actual use of data is not meeting those aims[1]. Recent key findings from the industry highlight gen-AI may not be as valuable as anticipated. Data strategies are not meeting the needs of gen-AI. Other forms of AI are also affected. Source: https://info.softserveinc.com/the-great-data-divide (access…
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No one should have confidence in a model without looking at the data…
Tom cat has yet to find Jerry mouse; instead, he has achieved a high training accuracy against training data. Unseen data brings a nasty surprise – the model has only achieved a very low validation accuracy. Is it the fault of the choice of classifier/preditor or an issue with the data? My own sinking I…
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Data –> knowledge –> Action –> continuous learning
Data, Data, Data, Data, Data, Data, Data, Data, Data, Data…… Well not so long ago it was machine learning, machine learning… Because we have awaken to some limit of data-driven AI, one possible way forward is to focus on data and find some explanations why data-driven AI may suitably work or not. Our society, companies…
Interesting Computing 