It is time for companies to “drain their data swamp” before embarking on any AI projects. Else, they are setting themselves for failure if the data was not adequately prepared.
This consensus view came from a panel discussion on implementing AI at the recent NexGen Connectivity Forum, which comprised both industry participants and solution providers.
Approaches
Michael Lang, solutions architecture manager at NVIDIA, said he had seen many companies set to embark on their AI journeys, only to be frustrated by having the data for training in the wrong format.
“As well as data sovereignty and designing the right infrastructure, data preparation is the first step,” said Lang.
“We have found that with many organizations, their data is disaggregated or is just not in the right state, and when you deal with disaggregated data sources, it can be very hard and challenging to get them in…
