2024-2028年人工智慧測試和測量的成長機會

Growth Opportunities in Test & Measurement for Artificial Intelligence, 2024-2028

出版日期: 2024年09月27日 | 出版商:

Frost & Sullivan | 英文 43 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

擴大人工智慧在各行業的使用的安全和道德考慮將推動成長

人工智慧（AI）是一項相對較新的技術，重要的是人工智慧解決方案要在各種情況、邊緣情況和偏好下進行徹底測試。對於利用人工智慧的企業來說，測試和測量（T&M）方法的主要目標是檢驗人工智慧模型的功能是否符合業務需求，同時確保高品質的效能指標。由於各行業擴大使用人工智慧帶來的安全風險和道德考慮日益引起人們的擔憂，法規也要求進行徹底的測試和檢驗。因此，人工智慧模型在模型開發過程中會在多個層級和階段進行一致和迭代的測試。

Frost & Sullivan 的這項研究分析了人工智慧產業的T&M。檢驗了驅動和限制成長的因素，並確定市場參與者和相關人員可以從該行業的變化中利用的機會。分析全球產業趨勢，突顯不斷變化的人工智慧監管格局，並衡量這些發展對產業的影響。基準年為2023年，預測期間為2024年至2028年。

Artificial intelligence (AI) is a relatively new technology, and it is critical that AI solutions are thoroughly tested for varied situations, edge cases, and preferences. The primary aim of a test & measurement (T&M) approach for an AI-driven company is to verify that the AI model's functionality is in line with business requirements while ensuring high-quality performance metrics. Regulations stemming from growing concerns over the safety risks and ethical considerations presented by the increasing use of AI across industries also call for thorough testing and validation. AI models are thus consistently and repeatedly tested at several levels and stages during model development.

This Frost & Sullivan study analyzes the T&M for AI industry. It examines the factors driving and restraining its growth and identifies the opportunities emerging from the changes in this space for market players and stakeholders to leverage. It analyzes global industry trends and sheds light on the evolving landscape of AI regulation, gauging the impact of these developments on the industry. The base year is 2023, and the forecast period is from 2024 to 2028.

Strategic Imperatives

Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Test & Measurement (T&M) for AI Industry
Growth Opportunities Fuel the Growth Pipeline Engine™