Accelerate AI monetization: Equitus.ai / IBM

 

Accelerate AI monetization: Equitus.ai / IBM

Equitus.ai can significantly enhance IBM Cloud platform users' ability to accelerate AI monetization through its innovative edge computing solutions and strategic partnership with IBM. Here's how:

Automation / Integration / Agentic Workflow

Equitus has developed two groundbreaking solutions optimized for IBM's Power10 servers:

1. Knowledge Graph Neural Network (KGNN): This platform automatically ingests and structures raw data, creating semantically rich, machine-readable formats. It enables powerful Retrieval-Augmented Generation (RAG) pipelines and breaks down data silos for comprehensive analysis1.

2. Equitus Video Sentinel (EVS): This advanced video analytics system offers real-time object detection, fast search across thousands of camera feeds, and pattern recognition1.

Equitus solutions leverage IBM Power10 servers, providing:

• Up to 3X more performance per core compared to previous generations

• Four Matrix Math Accelerators per core for AI inferencing

• Enhanced security with transparent memory encryption

• Compact form factor ideal for edge deployment1

By integrating Equitus.ai solutions with IBM Cloud, users can:

1. Process complex data sets at the edge while maintaining data sovereignty and reducing latency1.

2. Enhance data product design and lifecycle delivery using generative AI capabilities2.

3. Leverage IBM's data monetization solution framework to maximize return on value, potentially becoming a data SaaS business2.

4. Utilize watsonx.ai for assured transparency and indemnification in AI model development2.

Equitus.ai solutions can help IBM Cloud users monetize AI across various sectors:

• Defense: Provide real-time situational awareness for military planners

• Law Enforcement: Enhance surveillance capabilities

• Commercial Enterprises: Unlock hidden data patterns

• IT Departments: Reduce infrastructure costs while improving performance1

By combining Equitus.ai's edge computing prowess with IBM's cloud infrastructure and AI platforms like watsonx, users can create more sophisticated, efficient, and monetizable AI products and services12.

Citations:

1. https://nas01.tallpaul.net/wordpress/2024/10/equitus-ai/
2. https://www.ibm.com/think/insights/how-to-accelerate-your-data-monetization-strategy-with-data-products-and-ai
3. https://techchannel.com/conferences-and-events/ibm-reaffirms-commitment-to-hybrid-cloud-ai-and-security-initiatives/
4. https://community.ibm.com/community/user/viewdocument/2618-sales-proccess-modernization?CommunityKey=8c64553a-86a9-4af3-a2e6-55826c69b4e2&tab=librarydocuments
5. https://aithority.com/technology/data-monetization-with-ibm-for-your-financial-benefits/
6. https://www.ibm.com/case-studies/blog/how-ibm-is-helping-accelerate-ai-adoption-and-application-centric-connectivity
7. https://www.datacenterdynamics.com/en/news/ibm-adds-watsonx-service-to-ibm-cloud-in-australia-and-new-zealand/
8. https://cioviews.com/best-ways-to-monetize-data-using-ibm-cloud-private-for-data/
9. https://futurumgroup.com/insights/intel-and-ibm-show-joint-ai-moxie-in-the-cloud/
10. https://www.equinix.com/newsroom/press-releases/2023/12/companies-gaining-competitive-advantage-through-deploying-private-ai-infrastructure-at-equinix