Incribo offers affordable high-quality synthetic data, mimicking real data without compromising privacy.
发布日期：2025-09-11
Owner of VMware, Broadcom, announced that its VMware Cloud Foundation platform is now AI native at the VMware Explore conference a few weeks ago. It was the latest move by the company to keep up to speed with the rest of the technology industry’s wide and rapid adoption of large language models, yet came as […] The post VMware nods to AI but looks to long-term appeared first on AI News.
发布日期：2025-09-11
Customers are discovering brands and learning about products and services in new ways from traditional search to AI search, to AI agents and more, the discovery journey has completely changed, and brands need to adapt to the new paradigm. Launched earlier this year, Yext Scout is an AI search and competitive intelligence agent that’s designed […] The post Yext Scout Guides Brands Through AI Search Challenges appeared first on AI News.
发布日期：2025-09-10
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发布日期：2025-08-26
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发布日期：2025-08-20
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发布日期：2025-08-15
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发布日期：2025-08-14
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发布日期：2025-08-14
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发布日期：2025-08-12
语音AI领域的领军企业SoundHound近日发布革命性Vision AI系统，将视觉识别与语音技术深度融合。这项技术突破让AI能够同时处理视觉和听觉信息，实现真正意义上的多模态交互。从汽车导航到工业维修，从零售盘点到餐饮点单，Vision AI正在重新定义人机交互的边界，为各行业带来更自然、更智能的解决方案。
What is Incribo?
Incribo is a platform that provides high quality synthetic data at an affordable price. Synthetic data, in this context, refers to artificially generated data that mimics the characteristics of real data while protecting sensitive information.
How to use Incribo?
To use Incribo, you can sign up for an account on the website and access the data generation features. You can specify the format, structure, and size of the synthetic dataset you need. Incribo's advanced algorithms and models will then generate the synthetic data based on your requirements.
Incribo's Core Features
The core features of Incribo include:
1. High quality synthetic data generation
2. Affordable pricing
3. Ability to specify dataset format, structure, and size
4. Protection of sensitive information while maintaining realistic data characteristics
Incribo's Use Cases
#1
Incribo can be used in various scenarios, including:
1. Machine learning and AI training: Synthetic data can be used to augment real datasets for training machine learning models.
2. Software testing: Synthetic data can be used to simulate realistic test scenarios.
3. Data analysis: Synthetic data can be used when real data is insufficient or sensitive.
FAQ from Incribo
What is synthetic data?
How can I use Incribo?
What are the core features of Incribo?
What are the use cases of Incribo?
How much does Incribo cost?
