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IBM Unveils Rapid AI Agent Creation Tool at THINK 2025 Event

May 10, 2025•Ary Julianto•Original Link•1 minutes
AI
IBM
EnterpriseTech

IBM showcased groundbreaking AI innovations at its THINK 2025 conference, including a platform that enables enterprises to build custom AI agents in under five minutes.

IBM made waves at its annual THINK 2025 event by unveiling cutting-edge AI technologies designed to transform the entertainment sector and enterprise workflows. The star of the show was a major upgrade to watsonx Orchestra, a platform that empowers companies to create specialized AI agents in less than five minutes.

Key Announcements:

  • watsonx Orchestra Update:

    • Enables seamless integration and customization of AI agents across 80+ business applications (Salesforce, Adobe, SAP, Microsoft)
    • Features a catalog of 150+ pre-built agents for sales, HR, and data automation
    • CEO Arvind Krishna declared: "The AI experiment era is over... IBM simplifies complexity for production-ready AI"
  • LinuxONE 5 Launch:

    • New high-security AI infrastructure platform
    • Capable of processing 450 billion AI inferences daily
  • watsonx.data Enhancements:

    • Now supports unstructured data processing for more accurate AI insights
    • Claims 40% higher accuracy compared to traditional RAG systems

Industry Impact:

IBM's innovations promise to accelerate enterprise AI adoption by reducing development time and improving integration capabilities. The company positions itself as a leader in hybrid AI solutions for business transformation.

Read more about IBM's AI solutions

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August 18, 2025•Kaydence Shum

Lenovo Wins Frost Sullivan 2025 Asia-Pacific AI Services Leadership Award

Lenovo earns Frost Sullivan's 2025 Asia-Pacific AI Services Customer Value Leadership Recognition for its value-driven innovation and real-world AI impact.

AI
Lenovo
Asia-Pacific
August 18, 2025•Unknown

Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

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About the Author

Dr. Sarah Chen

Dr. Sarah Chen

AI Research Expert

A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.

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Machine Learning
Natural Language Processing
Deep Learning
AI Ethics
Experience
15 years
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