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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Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
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Boost.ai
Presenting the most intuitive no-code conversational AI platform that eliminates complications. Driven by exclusive self-learning artificial intelligence and featuring a robust set of enterprise-ready functions, the boost.ai platform stands as the quickest, simplest, and most scalable solution for organizations aiming to enhance and automate both internal operations and external customer engagements.
Boost.ai employs advanced deep learning and natural language processing (NLP) combined with its unique automatic semantic understanding (ASU) technology to adeptly understand and reply to inquiries across various channels, including chatbots and platforms such as Skype, Messenger, and Slack. The platform boasts a wide array of functionalities, including a centralized repository for information, management of authentication, ready-made templates, language detection capabilities, conversational IVR, and much more.
Furthermore, it empowers users to gain valuable insights through conversation analytics and performance metrics, enhancing customer interaction strategies, while seamlessly integrating with tools like Microsoft Teams, Zendesk, and Salesforce, ensuring a comprehensive approach to engagement. With its user-centric design and extensive capabilities, boost.ai is redefining the landscape of conversational AI for enterprises.
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dbForge Studio for MySQL
dbForge Studio for MySQL is a multi-featured IDE that covers nearly every aspect of MySQL and MariaDB development, management, administration, data analysis, and reporting. The rich feature set of the Studio is augmented by a clean and intuitive GUI and CLI-powered automation capabilities.
Key features:
Database Development.
dbForge Studio for MySQL offers quite a few features to streamline routine SQL coding and ensure the high quality of the output.
For example:
*SQL coding assistance
*Query Profiler
*MySQL Debugger
*Visual Query Builder
*Source Control. Using dbForge Studio for MySQL, you can set up and streamline effective version control of database schemas and static table data.
Database Design.
In terms of database design, the Studio provides visual object editors and handy functionality that helps you visualize databases on entity-relationship diagrams.
Database Management.
The Studio delivers a set of features for effective and versatile database management.
Data Analysis & Reporting.
dbForge Studio for MySQL facilitates data aggregation, analysis, and reporting.
Database Administration.
There are also integrated features to ensure quick and smooth database administration.
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