Windocks
Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers.
Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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Teradata VantageCloud
Teradata VantageCloud: Open, Scalable Cloud Analytics for AI
VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.
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SynthID
We are excited to announce the beta launch of SynthID, a groundbreaking tool designed for the watermarking and identification of AI-generated images. Currently, SynthID is being made available to a select group of Vertex AI customers utilizing Imagen, which is among our newest text-to-image models that transform textual input into stunning photorealistic visuals.
This innovative tool allows users to seamlessly embed an invisible digital watermark within their AI-generated images, enabling them to ascertain whether Imagen was involved in the creation of the image or even specific elements of it.
The ability to recognize AI-generated content is essential for fostering trust in the information landscape. Although it is not a definitive solution to the complexities of misinformation, SynthID represents an early and encouraging technical advancement in tackling this urgent issue surrounding AI safety.
Developed by Google DeepMind and honed through collaboration with Google Research, this technology holds the potential for adaptation across various AI models, and we are committed to integrating it into additional products in the coming months. As the landscape of AI continues to evolve, SynthID aims to play a crucial role in ensuring transparency and accountability in digital content.
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DataGen
DataGen delivers cutting-edge AI synthetic data and generative AI solutions designed to accelerate machine learning initiatives with privacy-compliant training data. Their core platform, SynthEngyne, enables the creation of custom datasets in multiple formats—text, images, tabular, and time-series—with fast, scalable real-time processing. The platform emphasizes data quality through rigorous validation and deduplication, ensuring reliable training inputs. Beyond synthetic data, DataGen offers end-to-end AI development services including full-stack model deployment, custom fine-tuning aligned with business goals, and advanced intelligent automation systems to streamline complex workflows. Flexible subscription plans range from a free tier for small projects to pro and enterprise tiers that include API access, priority support, and unlimited data spaces. DataGen’s synthetic data benefits sectors such as healthcare, automotive, finance, and retail by enabling safer, compliant, and efficient AI model training. Their platform supports domain-specific custom dataset creation while maintaining strict confidentiality. DataGen combines innovation, reliability, and scalability to help businesses maximize the impact of AI.
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