IBM ISVs (Equitus.ai, Rocketgraph, Finacle, Wallaroo.AI, Crest, Edsvärd, ElinarAI) is not directly available in the prompt text but is implied to be in the uploaded image, I will describe the general methods IBM and its Independent Software Vendors (ISVs) use to integrate, followed by the likely integration points for the specific technologies you listed.
In short, these ISVs are generally used with IBM by deploying their software on IBM infrastructure or integrating them with IBM data platforms to leverage IBM's enterprise-grade security, scale, and AI foundation models.
I. General Methods to Use ISVs with IBM
IBM uses a sophisticated partnership model (like IBM Partner Plus) to ensure ISV software runs optimally with its platforms. The primary methods for using an ISV product with IBM technology are:
| Method | Description | IBM Platform(s) Involved |
| 1. Cloud-Native Integration | The ISV's solution is packaged as a containerized application (using Red Hat OpenShift) and certified to run on IBM Cloud. This allows the solution to be deployed in a hybrid cloud environment. | Red Hat OpenShift, IBM Cloud |
| 2. Data/AI Platform Integration | The ISV's product integrates directly with IBM's unified data and AI platforms, using the data, governance, and model management tools provided by IBM. | IBM watsonx.data, IBM watsonx.ai, IBM Cloud Pak for Data |
| 3. Hardware Optimization | The ISV's software is specifically optimized and validated to run on high-performance IBM hardware, such as IBM Power Systems or IBM Z (Mainframe), leveraging unique features like high security or AI acceleration. | IBM Power Systems, IBM Z (LinuxONE) |
| 4. Middleware/API Integration | The ISV's application uses IBM's APIs or middleware (like IBM MQ, CICS) to exchange data or embed specific IBM capabilities (like Watson AI services) directly into the ISV's product. | IBM API Connect, IBM MQ, CICS |
II. Likely Integration for the Listed ISVs
Based on the known focus of the specific ISVs in your list, here is how they would typically be used in an IBM environment:
1. AI/ML Operations (Wallaroo.AI, Equitus.ai, ElinarAI)
These companies focus on AI/ML training, deployment, and management (MLOps).
How to Use: Their software is typically deployed on IBM Cloud/OpenShift or specifically on IBM Power Systems to handle demanding AI/Deep Learning workloads without requiring expensive GPUs (as mentioned in search results for Equitus.ai).
Key Integration Point: They connect to and manage models and data within the IBM watsonx ecosystem. For example, they might use
watsonx.datafor feature stores and data access, andwatsonx.aifor model deployment acceleration, ensuring the MLOps process is governed by IBM's security controls.
2. Industry-Specific Platforms (Finacle, Crest, Rocketgraph)
These ISVs deliver specialized solutions for industries like Finance (Finacle is a known banking platform) or Knowledge Graphs (Rocketgraph).
How to Use (Finacle): As a core banking or large enterprise application, it would be certified and deployed on highly secure, reliable infrastructure like IBM Z (Mainframe) or IBM Power Systems. This provides the necessary transaction integrity and compliance.
How to Use (Rocketgraph/Crest): These data and graph technologies would likely run on IBM Cloud Pak for Data or integrate with the IBM Data Fabric architecture, using IBM's data catalog and governance tools to ensure the knowledge graph is built on trusted, governed data sources.
3. Document/Data Management (Edsvärd, ElinarAI)
These focus on processing vast amounts of unstructured content (like documents, legal contracts, or archived data) and finding insights.
How to Use: They are integrated to consume data from IBM Content Manager or IBM Cloud Object Storage. They would use IBM’s core infrastructure for massive scale data storage and retrieval.
Key Integration Point: They leverage AI/NLP capabilities to enrich the data, potentially using IBM watsonx Discovery or watsonx.ai for deeper text analytics, with their own proprietary algorithms on top.
To summarize the usage: You would acquire the ISV software, and then deploy and connect it to the relevant IBM platform (watsonx, IBM Cloud, IBM Power, or IBM Z) according to the specific guidance in the IBM Partner Catalog or the ISV's documentation.
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