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    Home»Cannabis News»Cognizant Hires 1,000 AI Context Engineers to Bolster Enterprise AI Initiatives
    Cannabis News

    Cognizant Hires 1,000 AI Context Engineers to Bolster Enterprise AI Initiatives

    The Cannabis JournalBy The Cannabis JournalAugust 29, 2025Updated:August 29, 2025No Comments6 Mins Read
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    Highlights;

    • Cognizant and Workfabric AI Partnership:

      • Cognizant is partnering with Workfabric AI to create a new discipline for enterprise-grade, high-impact agentic AI solutions.
      • The partnership aims to deploy 1,000 context engineers over the next year, powered by Workfabric AI’s ContextFabric™ platform.
    • ContextFabric Platform:

      • ContextFabric™ transforms an organization’s workflows, data, rules, and processes into actionable context for AI agents.
      • It acts as a continuous runtime grounding layer, ensuring AI agents align with enterprise goals and workflows.
    • Context Engineering:

      • Context engineering is the emerging discipline of bringing the right context to AI systems at the right time.
      • It enables AI agents to reason, act, and adapt in alignment with enterprise goals.
      • Context includes a company’s knowledge, operating models, policies, and collective wisdom.
    • Key Benefits:

      • Risk Reduction: Agents operate within client-defined standards and regulations.
      • Higher ROI: Trusted, accurate AI systems increase adoption.
      • Efficiency Gains: Fewer errors and rework.
      • Cost Optimization: Streamlined architectures.
      • Accelerated Time-to-Value: Reusable context assets enable faster deployment.
      • Differentiation: Context aligns with a company’s strategy and execution model.
    • Cognizant’s Commitment:

      • Training 1,000 context engineers to deliver scalable AI solutions.
      • Integrating context engineering with Cognizant’s Agentic Development Lifecycle (ADLC) and enterprise-agentification framework.
    • Quotes:

      • Ravi Kumar S, CEO of Cognizant: “In the LLM era, context is the lever. Cognizant is uniquely positioned to create value by training 1,000 context engineers.”
      • Rohan N. Murty, CEO of Workfabric AI: “ContextFabric will be the force multiplier turning this vision into reality, delivering trusted, enterprise-grade outcomes.”
    • Workfabric AI’s Impact:

      • Demonstrated improvements include up to 3X higher accuracy, 70% fewer hallucinations, and faster deployment cycles.
    • About Cognizant:

      • A leader in modernizing businesses through technology, processes, and experiences.
      • Focus on helping clients stay ahead in a fast-changing world.
    • Learn More:

      • Visit Cognizant’s website or contact them for additional details.


    Cognizant and Workfabric AI Team Up to Revolutionize Enterprise AI with a New Context Engineering Discipline

    Cognizant and Workfabric AI are pioneering a new frontier in AI technology by introducing a groundbreaking discipline designed to create high-impact, enterprise-grade agentic AI solutions for clients across various industries.

    TEANECK, N.J., Aug. 29, 2025 /PRNewswire/ — Cognizant (NASDAQ: CTSH) has announced an ambitious initiative to industrialize agentic AI within enterprises by deploying a team of 1,000 context engineers over the next year. This significant investment underscores the company’s commitment to the emerging field of context engineering, which is pivotal in enabling AI agents to reason, act, and adapt in alignment with enterprise objectives.

    As part of this initiative, Cognizant is collaborating with Workfabric AI, a leader in developing the context engine for enterprise AI. The 1,000 context engineers at Cognizant will utilize Workfabric AI’s cutting-edge ContextFabric™ platform. This innovative platform transforms an organization’s DNA—encompassing workflows, data, rules, and processes—into actionable context for AI agents. By serving as a continuous runtime grounding layer, ContextFabric ensures that agents remain aligned with workflows and real-world execution patterns, effectively scaling context engineering across enterprises.

    Ravi Kumar S, CEO of Cognizant, emphasized the significance of this shift: “Each technological advancement brings about a services shift. In the microprocessor era, it was code; in the cloud era, it was workload migration. In the era of large language models (LLMs), the key is context. Cognizant’s extensive expertise in engineering, operations, and industry domains positions us to deliver exceptional value. By training 1,000 context engineers and equipping them with Workfabric AI’s ContextFabric platform, we are enabling our clients to transition from AI experimentation to scalable adoption.”

    Context engineering is defined by Cognizant as a company’s collective knowledge, including its operating model, roles, goals, metrics, processes, policies, and governance systems. It encapsulates how people collaborate using tools for execution, leveraging data insights for decision-making, navigating constraints, and addressing challenges while ensuring compliance to achieve targeted outcomes. Most critically, context embodies a company’s collective wisdom from past decisions, feedback loops, continuous learning, and adaptive change.

    This intelligence, manifested in content, data, applications, workflows, and other systems, serves as the fuel for AI agents to operate precisely, effectively, and dynamically optimize both workflows and human-AI collaboration. The emerging discipline of context engineering involves bringing the right context to agentic systems at the right time, enabling AI to make accurate decisions, align with human goals, adhere to policies, and adapt to real-time challenges.

    Cognizant will develop context engineering skills by combining domain, functional, and technical expertise. These skills will be refined across Cognizant’s service lines through targeted training and enablement programs. Integrated with Cognizant’s Agentic Development Lifecycle (ADLC) and enterprise-agentification framework, context engineering will be scaled as a foundational capability. This holistic approach ensures that context is crafted and managed effectively, enabling AI agents to operate securely and efficiently at scale, accelerating time-to-value and enhancing solution quality across industries.

    Rohan Murty, CEO of Workfabric AI, added, “Cognizant’s commitment to this discipline, starting with 1,000 context engineers, signals a bold direction for the services industry. ContextFabric will amplify this vision, enabling engineers to deliver trusted, enterprise-grade outcomes. In enterprise deployments, the platform has demonstrated remarkable improvements, including up to 3x higher accuracy, 70% fewer hallucinations, faster deployment cycles, and higher ROI, depending on the use case and implementation. Together, we are laying the groundwork for the era of contextual computing.”

    Key Highlights of Cognizant’s Context Engineering Initiative:

    • Capturing Enterprise Knowledge: Context engineers will gather processes, rules, and execution patterns to ensure AI systems understand the operational DNA of businesses.
    • Context Lifecycle Management: They will manage the full lifecycle of context, ensuring governance, privacy, and security.
    • Integration Pipelines: Building pipelines for the retrieval, synthesis, storage, and distribution of context to optimize AI performance.
    • Reusable Context Assets: Packaging context into deployable “context packs” for scalable solutions.
    • Tailored Solutions: Designing context blueprints and templates for industry-specific AI use cases.
    • Context-Sharing Ecosystems: Creating solutions to facilitate context sharing within organizations.

    Benefits of Context Engineering:

    • Risk Reduction: AI agents aligned with client-defined standards and regulations.
    • Higher ROI: Trusted and accurate AI systems drive greater adoption.
    • Efficiency Gains: Fewer errors and rework.
    • Cost Optimization: Streamlined architectures reduce costs.
    • Faster Time-to-Value: Reusable assets and libraries accelerate deployment.
    • Differentiation: Context becomes a strategic asset, reflecting a company’s strategy and execution model.

    About Cognizant

    Cognizant (Nasdaq-100: CTSH) is a global leader in engineering modern businesses. The company helps clients modernize technology, reimagine processes, and transform experiences to stay ahead in a fast-changing world. Learn more at www.cognizant.com or follow @cognizant.

    For More Information:

    For media inquiries, contact Cognizant’s PR team at media帮助@cognizant.com.

    Original Article Source:

    View the original press release and multimedia content at https://www.prnewswire.com/news-releases/cognizant-to-deploy-1-000-context-engineers-powered-by-contextfabric-to-industrialize-agentic-ai-302541591.html.

    SOURCE: Cognizant



    Source: https://www.stocktitan.net/news/CTSH/cognizant-to-deploy-1-000-context-engineers-powered-by-context-5p7txs9xx3ml.html

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