Bluemix and Watson, great choice for Enterprise AI
June 26, 2017

Bluemix and Watson, great choice for Enterprise AI

Gary Theis | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Cloud PaaS (formerly IBM Bluemix - PaaS)

We use Bluemix primarily as a way to access IBM Watson's suite of AI APIs, for our own use as well as proposing as a solution for other companies. Watson is one of several AI options we can support with our chatbot AIs, and is especially suitable for issues where security is important and a local install may be required.
  • Local install options.
  • Security.
  • Often for large companies IBM is already on the network and it is an easier sell.
  • Kubernetes is comparatively new there, needs maturing.
  • Getting your app available as a third party is a longish process, needs streamlining.
  • Still some shifting around and renaming of elements of the Watson APIs that can throw off development, hopefully, all is now set.
  • Opened up a higher level of fintech clientele
  • Allowed us to reach some critical foreign language markets via native language Watson support
  • Partnering with IBM has given us a good amount of marketing exposure
We haven't spent much time with this feature yet, so difficult to weigh in.
It's the primary reason we use Bluemix, we're an AI technology company at heart and Watson is one of many solutions out there with its own strengths and weaknesses.
Kubernetes is our tool of choice for container management, we use it heavily, although not primarily on Bluemix. It's a brilliant technology and underpins our whole infra.
  • GCP and AWS
Actually all three are brilliant, I would give the nod to GCP currently for price/performance and Kubernetes support. Bluemix offered Watson, however, so that's our primary reason to use it.
Enterprise installs and customers who already run IBM solutions are great use cases. I'd love to see more variety in native language Watson NLP support, but that's an industry issue.