Synthetic intelligence functions are starting to hit their stride, delivering end-to-end experiences for patrons and workers that match or exceed human capacities. To assist enterprises determine which AI/machine-learning (ML) platform to put money into, Forrester evaluated vendor platforms supplied by Amazon Internet Providers, C3 AI, Cloudera, Databricks, Dataiku, DataRobot, Google, H2O.ai, IBM, Microsoft, Palantir, RapidMiner, RStudio, SAS, and TIBCO Software program. Wow, there are many good decisions amongst these platforms! Enterprise decision-makers ought to short-list platforms primarily based on their particular necessities with a watch towards those who:
- Provide a broad set of instruments for each information science and prolonged AI groups. Enterprises can’t (and don’t need to) compromise on instruments for his or her information science groups when selecting an AI/ML platform — and particularly for the rising prolonged AI staff of knowledge engineers, ML engineers, software program growth, enterprise architects, IT operations, and, in fact, enterprise customers. Enterprises ought to first take a look at an AI/ML platform to fulfill and bump up the productiveness of knowledge scientists earlier than contemplating how the platform helps the prolonged AI staff collaborate with a number of roles throughout all the AI lifecycle.
- Have industry-specific answer accelerators. AI/ML platform distributors provide various levels of answer accelerators that present a head begin in implementing horizontal and/or vertical use circumstances. Answer accelerators could be within the type of coaching supplies, pattern code and/or flows, or extra ready-to-use configurable modules. Enterprises ought to look to AI/ML platform distributors which have expertise of their {industry} and/or horizontal use circumstances.
- Take an extensible and interoperable strategy to each instruments and applied sciences. Subsequent-generation enterprise AI initiatives is not going to relaxation on the worth of a single ML mannequin. These initiatives additionally should higher align their information for AI, particularly for related intelligence. Enterprises ought to ask AI/ML platform distributors how they might hypothetically add a brand new open supply framework, programming language, and instruments created by different distributors to the platform.
Occupied with studying extra in regards to the AI/ML platform panorama and what instrument(s) your organization ought to leverage? In case you are a shopper, learn the report and schedule an inquiry with Mike or Rowan to debate your enterprise’s particular necessities.
