2024-2028 年人工智慧测试和测量的成长机会

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个工作天内

价格

简介目录

扩大人工智慧在各行业的使用的安全和道德考虑将推动增长

人工智慧 (AI) 是一项相对较新的技术，重要的是人工智慧解决方案要在各种情况、边缘情况和偏好下进行彻底测试。对于利用人工智慧的企业来说，测试和测量（T&M）方法的主要目标是检验人工智慧模型的功能是否符合业务需求，同时确保高品质的效能指标。由于各行业越来越多地使用人工智慧带来的安全风险和道德考虑日益引起人们的担忧，法规也要求进行彻底的测试和检验。因此，人工智慧模型在模型开发过程中会在多个层级和阶段进行一致和迭代的测试。

Frost & Sullivan 的这项研究分析了人工智慧产业的 T&M。它检验了驱动和限製成长的因素，并确定市场参与者和相关人员可以从该行业的变化中利用的机会。我们分析全球产业趋势，突显不断变化的人工智慧监管格局，并衡量这些发展对产业的影响。基准年为2023年，预测期间为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™