IBM storage forever!
The IBM Watson Knowledge Catalog is useful for data collection and storage within our company. It makes it simple to upload and access …
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What is IBM Knowledge Catalog?
IBM Knowledge Catalog is a cloud-based enterprise metadata repository allowing users to catalog knowledge and analytics assets, including machine learning models and structured and unstructured data wherever they reside, so that they can be easily accessed and used to fuel…
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What is IBM Knowledge Catalog?
IBM Knowledge Catalog is a cloud-based enterprise metadata repository allowing users to catalog knowledge and analytics assets, including machine learning models and structured and unstructured data wherever they reside, so that they can be easily accessed and used to fuel data science and all…
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What is Cloudera Data Platform?
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business…
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What is IBM Knowledge Catalog?
IBM Knowledge Catalog is a cloud-based enterprise metadata repository allowing users to catalog knowledge and analytics assets, including machine learning models and structured and unstructured data wherever they reside, so that they can be easily accessed and used to fuel data science and all forms of AI.
IBM Knowledge Catalog Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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(7)Reviews
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Data Catalogue is still not a widely adopted concept particularly because of the maturity level of information technology as a concept in capital intensive industries. I can speak particularly for the Energy sector where there is a gradual shift towards managing data as a service. Efforts are being made to look at the holistic system capabilities and IBM Watson Knowledge Catalogue definitely made the cut.
- Ready to use data catalog experience with years of IBM consulting experience is helpful.
- Particularly helpful if the client is in the IBM ecosystem like IBM Maximo.
- Effective asset data management ready to deploy tools.
- I think an industry-specific data catalog service will be good.
- Effective alignment of IBM consulting services and bringing in an Industry point of view will be great.
- Effective reach out like roadshows, etc. will be good.
- Too early to determine ROI.
- I have had cases where IBM Watson has been offered with a suite of services
- With strengths in enterprise asset management, it has a lot of potential to be the platform of choice.
Azure is definitely a strong competition considering that it has machine learning capabilities too.