FAQ.

1
How can I start working with Vanti?
2
What kind of insights can I expect?
3
Who should use Vanti?
4
Do I need a data scientist to use Vanti?
5
What is a Model and what is a “KPI”?
6
What kind of data is supported?
7
What’s the minimum size of a dataset for insights?
8
How is the model deployed?
9
How can Vanti increase production line throughput?
10
How can Vanti reduce the cost of failure?
11
How long before I see a throughput increase and cost reduction by using Vanti?
12
What do I need to know in order to use Vanti in my production line?
13
Can I customize the model to fit my specific business needs?
14
Can you use data that is generated from any machine in the production line?
15
What happens if the data I send to Vanti is changed?
16
How will Vanti make sure it won't cause damage to my production line with wrong predictions?
17
How are new models built and created?
18
What is the data structure I should upload to create a model
19
What is considered to be enough data to create a model?
20
How are prediction models managed?