IBM and Arivonix Announce Deep watsonx.ai Integration at SHARE Cleveland
At SHARE Cleveland, IBM and Arivonix announced a deep integration between IBM watsonx.ai™ and the Arivonix data orchestration platform. This collaboration allows enterprises to embed Granite foundation models directly into live data pipelines, enabling production-grade generative AI workflows with full governance, operational control, and real-time delivery — without compromising compliance, transparency, or speed.
5 Key Benefits of This Integration
Real-Time AI Enrichment Inside Business Workflows
Granite models can be invoked as steps in Arivonix pipelines, supporting tasks like document summarization, contextual classification, metadata enrichment, and intelligent routing in seconds.
Transparent, Compliant, and Auditable Models
Every model invocation is logged with prompts, inputs, outputs, and timestamps, ensuring end-to-end traceability from experimentation to production.
Configurable, Low-Code Prompt Authoring
Teams can design dynamic prompts via Arivonix’s low-code builder, accelerating experimentation without heavy engineering support.
Plug-and-Play Foundation Model Access
watsonx.ai appears as a pre-integrated model suite within Arivonix, with enterprise-grade credential handling and flexible deployment options.
End-to-End Control from Data Ingestion to Output
The integration covers the full AI workflow — from raw data ingestion to enriched outputs delivered to spreadsheets, dashboards, APIs, or other operational systems — within a single governed pipeline.
How It Works
Users can select from models like Granite to support use cases such as summarization, enrichment, classification, and content generation. They can then set up credentials with role-based access and encryption, build prompts through a low-code interface, and execute AI workflows with real-time outputs, while maintaining complete governance and auditability.
Use Case Spotlight
A common enterprise use case powered by this integration involves intelligent document or entity enrichment. For example:
- A business analyst uploads a spreadsheet of vendor names.
- Arivonix fetches related news snippets, financial summaries, or firmographic data.
- IBM watsonx.ai generates a concise, sourced summary for each vendor flagging recent developments or compliance risks.
- The results are inserted back into the spreadsheet with citations and version tracking for auditability.
This architecture supports horizontal applications across market research, procurement, compliance, customer onboarding and knowledge management without requiring custom development for each workflow.
Source: IBM
YUPRO Placement and Franklin Skills Launch SKILLSFIT™ to Deliver Job-Ready IT Talent, Filling Urgent Gaps
YUPRO Placement, a skills-first talent placement firm, and Franklin Skills, a workforce training innovator, announced SKILLSFIT™, a wage-based, contract-to-hire apprenticeship program designed to help companies fill hard-to-staff roles in mainframe, data analytics, networking, and project management.
Traditional hiring practices focused on degrees, titles, and prior experience often leave positions unfilled and drive up recruitment costs. SKILLSFIT provides an alternative: hiring motivated, nontraditional candidates who receive hands-on training, contribute from day one, and are supported by structured coaching and technical education.
How SKILLSFIT Works
- Strategic selection: Candidates first complete a career-matching assessment and, upon role matching, must complete a proprietary Franklin Skills 100-hour pre-apprenticeship program prior to the contract placement.
- Train while they contribute: Apprentices work on contract as employees of YUPRO Placement, earning competitive wages while working in the client’s environment to learn its systems, tools, AI applications, and processes.
- Support without the burden: Franklin Skills delivers industry-relevant and role- customized training; YUPRO Placement handles hiring, payroll, and compliance. The solution includes on-the-job career coaching and advancement support to boost retention, retain institutional knowledge, and reduce talent churn.
- Hire when you’re ready: After the 26- or 52- week program, employers can seamlessly convert apprentices to full-time – at no additional cost.
YUPRO Placement CEO Michelle Sims said, “This is a new way to hire. SKILLSFIT is not staffing; it’s a workforce strategy designed to reduce turnover costs, accelerate time-to-productivity, and build a pipeline that performs. Franklin Skills and YUPRO Placement together drive a 94% retention rate. We are building teams that grow with your business.”
Learn more here.
Source: PR Newswire
Hitachi Vantara Recognized by GigaOm for Innovation in Object Storage
Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd., has been named a Leader in the latest GigaOm Radar for Object Storage. The report highlights innovation in the Virtual Storage Platform One Object (VSP One Object), launched in November 2024.
VSP One Object delivers native support for Amazon S3 Tables and advanced data intelligence services, enabling unstructured data to be transformed into structured tables. Businesses can run high-performance, SQL-based analytics directly on open-format data, without complex data movement or extraction.
The GigaOm Radar for Object Storage evaluates 22 vendors based on their ability to meet modern data demands, including performance, security, and edge readiness. As unstructured data from images, video, IoT, and AI grows exponentially, scalable and intelligent object storage has become a critical component of enterprise infrastructure.
Positioned in the Innovation/Platform Play quadrant, Hitachi Vantara scored high in several areas:
- Reporting and Analytics: Advanced insights into usage patterns, capacity trends, and performance metrics for better forecasting.
- Storage Optimization: Identifies stale or redundant data for archiving or deletion to reduce costs and save space.
- Public Cloud Integration: Expanded AWS S3 API support, including S3 Object Lock and S3 Tables, to enhance security and data management.
“These enhancements to the VSP One portfolio reflect our broader vision for the future of data infrastructure – one unified platform, with a single control plane of VSP 360, across a single data plane for block, file, object, SDS, and mainframe storage,” said Octavian Tanase, Chief Product Officer at Hitachi Vantara. “By enabling a fully integrated view of data across your cloud and on-premises environments, we provide customers with the flexibility and scalability to achieve new heights for data availability in the age of AI.”
Source: PR Newswire
Royal Cyber Unveils Generative AI Solution to Accelerate COBOL-to-Java Mainframe Modernization with AWS Transform
Royal Cyber Inc., a global IT consulting and digital transformation leader, has unveiled a Generative AI-powered COBOL-to-Java modernization solution. The approach combines Royal Cyber’s SCM Migration Tool with AWS Transform for Mainframe to accelerate modernization projects by up to 50% and cut domain knowledge extraction time by 90%.
With millions of COBOL lines supporting critical applications, enterprises face challenges including a shrinking mainframe talent pool, high licensing costs, and the need for cloud-ready systems. Traditional modernization is often slow, costly, and risky.
The new solution automates code extraction, analysis, documentation, decomposition, refactoring, and deployment, converting COBOL CICS into modular Java and Angular components while preserving business logic and functional equivalence.
Solution Highlights
- Automated code extraction to GitHub, GitLab, Bitbucket, Azure DevOps, or AWS S3 for modernization readiness
- AI-driven business logic identification and documentation
- Agentic AI-powered COBOL-to-Java refactoring
- Modularization for maintainability and scalability
- Proven results with measurable time and cost savings
“From automated extraction to intelligent decomposition, we enable a seamless transition to Java that cuts costs and delivers cloud-ready applications,” said Ganeswar Sethi, Mainframe Practice Lead, Royal Cyber.
Source: EIN Newswire
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