Yes, hardly needs to be stated, but good thoughts. All analytics, unless your problem is very simple, need enough data to create stable patterns, and then test them. The more data the better. If you think you have enough, look for more. If there are likely to be data quality issues, more yet. This applies for any analytics problems. And remember, the solution will typically change over time, so get enough to re-test periodically. Maintenance is important.
Why AI Cannot Survive Without Big Data
Data scientist are struggling to create structure out of the jumble of big data out there – structure that is essential for AI to function properly. ... By Philip Piletic
Via Gib Bassett in the SmartData Collective
No comments:
Post a Comment