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    Analytics & AI Advisory - Discovery

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    Sold by: SoftwareOne 
    In the Analytics & AI Advisory Discovery phase, the focus is on getting to know the company's current technology, data systems, and employee skills. This stage involves workshops and discussions that highlight how AI can fit into the business, including making sense of data, upgrading technology, and building the right team skills. Consultants work side by side with the customer's teams to explore where AI might be used, and they might even sketch out some early ideas or test projects to see how it could all come together.
    Listing Thumbnail

    Analytics & AI Advisory - Discovery

     Info
    Sold by: SoftwareOne 

    Overview

    Introduction: Welcome to the pivotal Discovery stage of our Analytics & AI Advisory service, where we set the foundations for a transformative AI journey. At this juncture, we delve into the heart of your organization’s technological, data, and human capabilities, charting a strategic path forward that leverages the full spectrum of AI's potential.

    Purpose: The purpose of the Discovery phase is multi-faceted. It aims to create a comprehensive understanding of the existing systems and resources, and align AI initiatives with business strategies. By identifying key opportunities and overcoming prevalent challenges, we lay the groundwork for an AI-infused future, focusing on upscaling technology, refining data practices, and enhancing workforce skills to seamlessly integrate AI within the business fabric.

    Scope:

    • Analytical deep-dives into technology stacks and data infrastructures.
    • Evaluation and development of employee competencies for AI.
    • Intensive workshops to align AI governance, technology modernization, and data strategies.
    • Ideation and preliminary testing of AI use-cases and pilot projects for a practical roadmap.
    • Timeline: 1-3 weeks

    Desired benefits:

    • Operational efficiency: fine-tuned set of use-cases that enhance processes and reduce AI experimentation efforts.
    • Business growth: Visionary insights for monetization and innovative AI-driven product opportunities.
    • Innovation: Enabling a forward-thinking culture ready to embrace Analytics, AI, and GenAI.

    Key outcomes:

    • A detailed plan for improved management of existing AI workloads.
    • A creative suite of Analytics and AI use-cases for transformative actions.
    • A comprehensive transformation roadmap for methodical AI integration and scaling.
    • A robust business case for AI adoption, ensuring clear visions and strategic alignment.

    Differentiation:

    • Expertise in aligning AI with business goals, even when in-house AI expertise is lacking.
    • Strategic solutions for implementing robust AI governance and managing cultural change.
    • Data quality and management strategies that lay the foundation for effective AI models.
    • A staged advisory process, from Envision to Solution, that ensures agility and scalability.
    • Tailored services for industries from FSI to healthcare, where AI adoption can lead to market differentiation and enhanced productivity.

    With our Analytics & AI Advisory's Discovery phase, we not only foresee the future of AI in your organization but actively shape it, turning potential into performance.

    AWS Service Used Amazon SageMaker, Amazon Quicksight, Amazon Connect, Amazon Bedrock, Amazon CodeWhisperer, Amazon Forecast, Aamazon Fraud Detector, Amazon Lex, Amazon Kendra, Amazon Rekognition, Amazon Textract, Amazon Q, and Amazon Translate

    Highlights

    • Business case for AI adoption: Forge ahead with a compelling business case for GenAI adoption. Leveraging ROI/CBA methods, we quantify your desired business outcomes, ensuring tangible value from AI.
    • Our methodology includes insights from trusted industry research giants like Forrester, Gartner, McKinsey, Statista, AWS, and IDC. The primary goals for clients include ideation of analytics and AI use-cases, a robust business case for AI adoption, and the justification and explanation of AI-driven business value.

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