Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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TreasuryPay
Instant™, Enterprise Data and Intelligence. All transaction data is visible, as it happens, from anywhere in the world. Organizations can access worldwide accounting, liquidity management, marketing, and supply chain information with just one network connection. This allows them to be empowered with enterprise intelligence. The TreasuryPay product set streams global receivables information and provides instant accountancy as well as cognitive services. It is simply the most advanced intelligence platform and insights platform available to global organizations. You can instantly provide enriched information to your entire global organization. It's easy to make the change. The Return on Investment is remarkable. With TreasuryPay Instant™, you can now access actionable intelligence and global accountancy in real-time.
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BatteryCycle
BatteryCycle offers an innovative analytics platform dedicated to evaluating battery health, allowing fleets, leasing firms, car dealerships, and insurance companies to quickly determine the condition of electric vehicle batteries without the need for OBD hardware or intricate integrations. Through its web application and API, users receive immediate, data-driven battery health assessments for over 25 brands, enabling connections to more than 90% of market models. The platform enhances remarketing, resale, and risk management by providing estimates of residual values, pinpointing potential usage and degradation threats, and alerting users to battery-related risks as they arise. Additionally, BatteryCycle plays a crucial role in second-life and recycling processes, offering battery recyclers and energy-storage developers valuable insights into the chemistry, capacity, and adaptability of decommissioned EV batteries for alternative uses. With its sophisticated analytics tailored for fleet management, the platform empowers operators to keep track of battery health based on brand, model, and driving habits, thereby facilitating informed decisions regarding the retirement of vehicles. This comprehensive approach not only optimizes battery usage and lifespan but also contributes to environmental sustainability by promoting responsible recycling and repurposing of battery resources.
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