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Ethical Concerns With AI/ML – Some Myths vs. Facts

GAVS Technology

Following actions are taken to minimize privacy challenges: Better Data Hygiene: Only the data required for the use case is captured/stored Use of Accurate Datasets: Quality of AI models is enhanced by training with accurate datasets User Control: Users are informed of their data being used and asked for consent.

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Moving to the cloud? Choose cloud service providers wisely

Analysts Corner

Or is this due to the pressing need for digital transformation triggered by the pandemic? Among the downsides of a public cloud are limited customization and a higher risk of a data breach since public clouds are available to anyone. The type of data dictates your choice of a cloud hosting service provider and its features.