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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Epicor Kinetic is a cloud-first, AI-powered ERP platform for manufacturing environments that require a connected system for transactional, operational, and reporting workflows. The platform supports finance, supply chain, production, inventory, quality, service, analytics, project management, governance and compliance, and global business management. Functional coverage includes planning and scheduling, materials management, shop floor coordination, product management, CRM, field service, electronic reporting, and enterprise content management. Kinetic provides browser-based access, role-based workflows, integration and extensibility tools, IIoT-related capabilities, and deployment options for cloud, on-premises, or hybrid architectures. It can integrate with listed third-party systems for payroll, tax, labeling, procurement, warehouse processes, data capture, and quality workflows, including ADP Workforce Now, Avalara, BarTender, Sage, SourceDay, and Sovos. Epicor Prism adds AI-supported automation and decision support for selected workflows. Kinetic also supports operations across the Americas, EMEA, and APAC and is available in multiple languages, which can matter for distributed manufacturing organizations with regional or multinational requirements.
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Nutanix Self-Service
NCM Self-Service, previously known as Calm, enhances the management, deployment, and scalability of applications in hybrid cloud environments by offering self-service options, automation, and a centralized governance model based on roles. With a simple click, users can access self-service capabilities paired with centralized IT governance that spans both private and public cloud infrastructures. This solution allows for comprehensive automation in the processes of application provisioning, scaling, and overall management. Users can deploy applications while maintaining visibility across different cloud settings, whether they are private or public. Additionally, blueprints can be easily published to end-users via the Nutanix Marketplace and can be developed through a user interface or Python code, facilitating self-service provisioning for intricate applications. The system enables users to provision, configure, scale, upgrade, and remove applications seamlessly across various cloud environments. Starting with the automation of routine lifecycle functions can lead to the creation of complex blueprints tailored to specific needs. By automating hybrid cloud architecture provisioning, organizations can efficiently manage multi-tiered and distributed applications from a unified control plane, ensuring streamlined operations across all cloud environments. This comprehensive approach ultimately empowers teams to achieve greater agility and efficiency in their cloud strategies.
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Nutanix Kubernetes Platform
The Nutanix Kubernetes Platform (NKP) streamlines platform engineering by minimizing operational challenges and ensuring uniformity across various environments. It offers all the necessary elements for a production-ready Kubernetes setup within a fully integrated, turnkey framework. You can deploy it in public cloud settings, on-premises, or at edge locations, with or without the Nutanix Cloud Infrastructure. The platform is built from upstream CNCF projects that are not only fully integrated and validated but also easily replaceable, preventing vendor lock-in. It simplifies the management of complex microservices while improving observability and security. Additionally, it provides robust multi-cluster management features for your public cloud Kubernetes deployments without necessitating a shift to a different runtime. By harnessing the power of AI, it helps users maximize their Kubernetes experience through anomaly detection paired with root cause analysis, as well as an intelligent chatbot that offers best practices and fosters consistency in operations. This comprehensive approach enables teams to focus more on innovation rather than being bogged down by operational hurdles.
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