Artificial Intelligence and Automation Team
New Research
The IDC study provides the 2025 top 10 predictions for the worldwide performance-intensive computing market."IDC anticipates that organizations will need to invest in advanced infrastructure and expertise within the next five years to fully...
This IDC study presents the top 10 predictions for the worldwide generative AI (GenAI) market for 2025."The GenAI market, like the dot-com era, is experiencing significant market volatility, with rapid rises and falls in stock prices and va...
The IDC study provides IDC's top 10 predictions for artificial intelligence and automation in 2025 and beyond."AI agents are set to revolutionize various industries by enhancing efficiency, improving customer experiences, and enabling new b...
This IDC study provides IT and business leaders with insights into key trends around work transformation trends over the next five years. It includes predictions across the three pillars of work augmentation, work culture, and the dynamics ...
This IDC study for data and analytics technologies highlights significant trends, including the alignment of data intelligence with AI model intelligence, the adoption of data-as-a-product architectures, and the readiness of organizations t...
This IDC Market Presentation highlights edge AI applications in healthcare, use cases, and the implications for edge AI devices.
This IDC Survey Spotlight explores the maturity of European organizations' data product strategies and highlights how maturity in delivering data as a product is a strong influencer of success with generative AI.
This IDC Market Note analyzes major announcements and topics discussed during ServiceNow EMEA Industry Analyst Summit 2024 — colocated with the customer and partner event, ServiceNow World Forum London — on October 2."The impact of AI in te...
大模型驱动人工智能在产业中深入落地已经初见成效:诸如AI语音语义市场等受大模型驱动,在2024年经济平稳的大环境下依然保持了业绩的增长。以科大讯飞为代表的语音语义企业,受益于大模型能力的不断提升,在市场上仍然保持领先地位。
本IDC技术买家演示文稿将探讨生成式AI的框架、场景和实施方法。它分析了生成式AI的三种实施方法,包括购买、调优和构建,具体采用哪种方法取决于数据可用性、预算、内部技能和数据安全/隐私要求等因素。本演示文稿还将就生成式AI的构建、调优或购买为技术买家提供建议。
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