How AI solution’s maintenance is different from traditional software
IDC predicts that up to 88 percent of all AI and ML projects will fail during
the test phase[1]
Its critical to do business and technical assessment of the AI solution before(not after) starting the implementation
Imagine that you are either
* The Data Scientist, who is going to implement the solution, will require
technical feasibility and
2 Proven ways to launch successful AI Startups
For business-facing (B2B) AI products, it’s often difficult to get the data necessary to build a prototype because a lot of highly specialized data is locked up within the companies that produce it. There are a couple of general ways in which AI teams can get around this problem:
How to do data and ROI feasibility of a machine learning based forecasting solution
A list of key questions that will help asses business and technical feasibility
of a machine learning solution
Lets take
