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    AI’s Impact on Philippines, the Call Center Capital of the World

    AI’s Impact on Philippines, the Call Center Capital of the World

    Rufus: Amazon’s AI-Powered Shopping Assistant Comes to India

    Rufus: Amazon’s AI-Powered Shopping Assistant Comes to India

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    Recall: A Controversial AI Feature for Windows on ARM

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    Fine-Tuning GPT-4o: Customization with OpenAI’s New Feature

    Anthropic Faces Copyright Lawsuit Over Claude AI Training

    Anthropic Faces Copyright Lawsuit Over Claude AI Training

    AI Model Collapse: Can AI Work Without Humans?

    AI Model Collapse: Can AI Work Without Humans?

    30% of GenAI projects will be abandoned: Gartner

    30% of GenAI projects will be abandoned: Gartner

    FLUX.1: A New Open-Source AI Image Generator

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    AI in Consulting: A BCG Case Study by Forbes

    AI in Consulting: A BCG Case Study by Forbes

    Generative AI in Document Processing Will Reduce Your Extraction Errors: A UiPath Case Study

    Generative AI in Document Processing Will Reduce Your Extraction Errors: A UiPath Case Study

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    Robotic Process Automation (RPA) Empowers R1 RCM to Successfully Automate More Than 15M Tasks

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    Dai-ichi Life Insurance Reports that They Saved Over 132000 Hours with Robotic Process Automation (RPA)

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      AI’s Impact on Philippines, the Call Center Capital of the World

      AI’s Impact on Philippines, the Call Center Capital of the World

      Rufus: Amazon’s AI-Powered Shopping Assistant Comes to India

      Rufus: Amazon’s AI-Powered Shopping Assistant Comes to India

      Ambient AI: A Game-Changer in Healthcare

      Ambient AI: A Game-Changer in Healthcare

      Recall: A Controversial AI Feature for Windows on ARM

      Recall: A Controversial AI Feature for Windows on ARM

      Fine-Tuning GPT-4o: Customization with OpenAI’s New Feature

      Fine-Tuning GPT-4o: Customization with OpenAI’s New Feature

      Anthropic Faces Copyright Lawsuit Over Claude AI Training

      Anthropic Faces Copyright Lawsuit Over Claude AI Training

      AI Model Collapse: Can AI Work Without Humans?

      AI Model Collapse: Can AI Work Without Humans?

      30% of GenAI projects will be abandoned: Gartner

      30% of GenAI projects will be abandoned: Gartner

      FLUX.1: A New Open-Source AI Image Generator

      FLUX.1: A New Open-Source AI Image Generator

    • Case Studies
      AI in Consulting: A BCG Case Study by Forbes

      AI in Consulting: A BCG Case Study by Forbes

      Generative AI in Document Processing Will Reduce Your Extraction Errors: A UiPath Case Study

      Generative AI in Document Processing Will Reduce Your Extraction Errors: A UiPath Case Study

      Santander Consumer Bank Leverages Robotic Process Automation (RPA) to Save $2M on Systems Migration

      Santander Consumer Bank Leverages Robotic Process Automation (RPA) to Save $2M on Systems Migration

      Robotic Process Automation (RPA) Empowers R1 RCM to Successfully Automate More Than 15M Tasks

      Robotic Process Automation (RPA) Empowers R1 RCM to Successfully Automate More Than 15M Tasks

      Dai-ichi Life Insurance Reports that They Saved Over 132000 Hours with Robotic Process Automation (RPA)

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      Indian Army Working on Multiple Secure Automation Projects to Enhance Efficiency

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      The Indian Army is working on several secure automation projects to enhance its operational efficiency and human resource management, logistics, inventory management, medical services, and other administrative functions. These projects will simplify systems, processes, and operations and provide decision-makers with comprehensive battlefield pictures to help them make informed decisions.

      Comprehensive Information Decision Support System (CIDSS)

      One of the Army’s key projects is the Comprehensive Information Decision Support System (CIDSS), which aims to provide decision-makers with a comprehensive battlefield picture integrating inputs from all operational and managerial information systems. The Army will soon procure this system through the capital route after floating a Request for Information in October 2022. In the interim, an in-house decision support called Situational Awareness Module for the Army (SAMA) has been developed, which will present the comprehensive battlefield picture to commanders at all levels based on authorization and roles.

      Situational Reporting Over Enterprise-Class GIS Platform (E-Sitrep)

      Another critical project in the works is the Situational Reporting Over Enterprise-Class GIS Platform (E-Sitrep), which will take care of all operational correspondences in the Army. This enterprise-class GIS platform is configured for the Army’s operational needs and has state-of-the-art spatial visualization. It is custom-built for commanders and is set to be first operationalized in the Army’s Northern Command.

      Computerized Inventory Control Project (CICP)

      The Computerized Inventory Control Project (CICP) is an Enterprise Resource Planning (ERP) solution for managing the Army’s stores, munition, aviation, and vehicles. While the project’s first phase has already been implemented, the next step will be expanded to include the repair and maintenance function. The Army Ordnance Corps and the Corps of Electrical and Mechanical Engineers will function using the same application in the future.

      Project Sanjay

      Project Sanjay is a battlefield surveillance system that underwent extensive validation in all terrains, including mountains, last year. A contract with BEL Ghaziabad is finalized to deliver over sixty surveillance centers for the field formations by December 2025. Project Sanjay will enable the integration of thousands of sensors and provide an integrated surveillance picture to commanders and staff.

      Artillery Combat Command Control and Communication System (ACCCCS)

      ACCCCS is one of the Army’s oldest and most successful operational information systems, currently being upgraded. The upgrades include migration to defense series maps and several new features that will optimize its functioning and enable the application of Artificial Intelligence and Machine Learning on the aggregated data.

      Avagat and Anumaan

      Avagat is a project that combines inputs from the operational domain, logistic inputs of selected nature, satellite imagery data, and topographic and meteorological inputs on a common platform. Anumaan is an application made in collaboration with the National Centre for Medium-Range Weather Forecasting (NCMRWF) for receiving customized products for high-resolution weather forecasts for its components along the Northern borders.

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