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IBM and Salesforce Launch Zero Copy Data Integration for AI

August 13, 2025•Shrabonti Das, Nishant Kumar Sinha•Original Link•1 minutes
AI
DataIntegration
EnterpriseTech

IBM and Salesforce introduce Zero Copy Integration to unlock enterprise data for AI without complex data movement, enhancing efficiency and security.

Authors: Shrabonti Das (Global Strategic Marketing Lead, Salesforce) and Nishant Kumar Sinha (Product Marketing Manager, Data Gate & AI on Z, IBM)

The Data Dilemma

  • 68% of enterprise data remains under-analyzed (Seagate)
  • 82% of enterprises struggle with data silos (D&B)
  • Enterprises monetizing data see nearly double AI ROI (9% vs 4.8%) (IBM)

The Breakthrough Solution

IBM and Salesforce announce Zero Copy File Federation, connecting:

  • IBM watsonx.data
  • Salesforce Data Cloud
  • IBM Z Mainframe

Powered by Apache Iceberg, this eliminates traditional ETL bottlenecks.

Transformative Use Cases

  1. Personalized Customer 360 Profiles: Combine transactional data with Salesforce interaction data
  2. AI-Driven Customer Service: Surface mainframe-stored issues in real-time via Agentforce
  3. Intelligent Sales Management: Leverage product entitlements and contract data
  4. Real-Time Fraud Detection: Monitor transactions without moving sensitive data

Executive Insight

"This partnership...is about empowering businesses to finally break down data silos" - Edward Calvesbert, IBM VP of watsonx Platform Product Management

Next Steps

  • Register for the webinar
  • Explore IBM Data Gate
  • Learn about Salesforce Zero Copy

Related News

August 19, 2025•TechNode Global Staff

APAC CFOs embrace AI agents for revenue growth and transformation

APAC CFOs are shifting from conservative AI strategies to aggressive investments, viewing AI agents as key drivers of revenue and business transformation, according to Salesforce research.

AI
CFOs
APAC
August 19, 2025•InfoWorld

AI Agents Transform Workflows with Autonomous Capabilities

Autonomous AI agents are reshaping business workflows, offering efficiency gains when integrated as central components of redesigned processes.

AI
Automation
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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
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