Sisense
AUGUST 14, 2020
Whether it’s core to the product, as with a stock market forecasting algorithm in Quants, or a peripheral component, such as a healthcare domain chatbot that diagnoses diseases via dialog with a patient, building reliable AI components into products is now part of the learning curve that product teams have to manage. .
GAVS Technology
AUGUST 17, 2021
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.
Analysts Corner
AUGUST 11, 2022
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. So when choosing a public cloud services provider, it’s worth paying much attention to the cybersecurity measures it has in place. When to use?
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