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Global State of AI, 2022

Publisher Frost & Sullivan
Published Jan 30, 2023
Length 30 Pages
SKU # MC17687941

Description

Global State of AI, 2022

About 87% of enterprises believe that artificial intelligence (AI) and machine learning (ML) are important in achieving business goals centered around growing revenue, increasing operational efficiency, and boosting customer experience. However, where are global organizations in this journey and what are their adoption drivers and restraints? This Frost & Sullivan study presents the key findings of a survey it conducted among global enterprises on their state of adoption of AI. Respondents were drawn from senior IT decision-makers across multiple verticals, including financial services, healthcare, retail, government, technology, and manufacturing. The major themes the survey explores include the current state of AI deployment, key organizational goals of AI implementation, the demand for specific AI-related technologies, and the main AI deployment models. The study examines technology vendors and service providers to obtain a view of AI priorities and help end users understand AI's benefits and challenges (as cited by global peers). It also gives readers an understanding of the prominent AI-related technologies that enterprises are adopting. In addition, the study offers insight into the main challenges enterprises face in their AI adoption journeys.

Table of Contents

30 Pages
    • Respondent Profile
    • AI-A Key Technology Priority for Global Enterprises
    • Enterprises are Advancing in their AI Adoption Journeys
    • AI can Improve Operational Efficiency and Grow Revenue, which Drives its Adoption
    • State of AI-Key Takeaways
    • IT Operations and Customer Support Services are the Key Business Functions Leading AI Adoption
    • The High-tech, Travel and Hospitality, and Professional Services Verticals Lead AI Deployment
    • Key Use-Cases in Emerging Industry Verticals
    • The Adoption and the Convergence of Multiple Technologies Enable Innovative AI Application
    • The Public Cloud Model Dominates AI Deployment, with Edge Architecture Providing the Flexibility to Support Low-latency Use-Cases
    • The Way Forward
    • Build a Compelling Value Proposition
    • Strengthen IT Software Services and Advisory Capabilities
    • Focus on CXO and Business Stakeholders
    • Growth Opportunities Fuel the Growth Pipeline Engine
    • Why is it Increasingly Difficult to Grow?
    • The Strategic Imperative 8

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