High AI Investment + Startup Issues = Potential Slowdown
Investment in AI startups shot up from $3.2 billion in 2014 to $9.5 billion in the first half of 2017, but the pace of development is being limited by a number of factors that technology can’t yet solve. The six impediments to fast growth, according to a story by Larry Alton of VentureBeat.com, are:
- Talent Shortages
- Sales Cycle Unpredictability
- Machine Learning Complexity
- Processing Power
In terms of processing power alone, the demands have made it difficult for startups to do their jobs.
Now, companies like Nvidia are enjoying the demand for processing chips for AI applications, and reporting record sales and interest. However, in general, processing growth hasn’t been able to fully keep up with the latest AI technology, and that fundamental limit may continue to be a problem for developers.
VentureBeat predicts a slowdown in AI development to deal with the thorny problems that won’t easily be solved in the foreseeable future.
To read more, go to VentureBeat.com.