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Build interactive data apps for your team or customers using AI commands. It's never been easier to unlock insights and streamline decision-making

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Analyze data and build dashboards by asking questions. No data privacy compromise!

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Akkio is a machine learning platform that specializes in automated machine learning (AutoML) for business applications. It provides a user-friendly interface and tools for building and deploying machine learning models without requiring extensive coding or data science expertise. Akkio offers features such as data preprocessing, feature engineering, model selection, hyperparameter tuning, and model deployment. The platform aims to simplify and accelerate the process of developing and deploying machine learning models, enabling businesses to leverage AI technologies effectively for improved decision-making and predictive analytics.

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Rose AI is an artificial intelligence (AI) platform or system developed by OpenAI. It is based on the GPT-3.5 architecture and designed to generate human-like text responses, engage in conversations, and provide natural language understanding capabilities. Rose AI utilizes deep learning techniques and a vast amount of training data to comprehend and generate coherent and contextually relevant text. It can be used for applications such as chatbots, virtual assistants, customer support, content generation, and more. Rose AI aims to enhance human-computer interactions by providing advanced language processing capabilities and generating human-like responses to user inputs.

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MindsDB is an open-source machine learning (ML) framework that focuses on providing automated machine learning solutions. It offers a simplified and intuitive interface for training, deploying, and integrating machine learning models into applications. MindsDB aims to democratize AI by making it more accessible to non-experts and developers who may not have extensive knowledge of machine learning algorithms and techniques. With MindsDB, users can leverage automated machine learning capabilities to analyze and make predictions from their data without needing to manually code complex models. It supports various ML tasks, such as regression, classification, and time series forecasting.

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We are at the dawn of a new kind of data analytics.Analytics that listens and understands. Analytics that takes initiatives rather than just taking orders. Analytics that goes beyond understanding structured data and can comprehend the nuances of unstructured data.

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Findly is a talent acquisition and recruitment software platform that helps organizations streamline their hiring processes. It offers features such as job posting, candidate sourcing, applicant tracking, resume parsing, and interview management. Findly aims to simplify and automate the hiring workflow, allowing recruiters to efficiently manage job postings, source qualified candidates, track applicant progress, and collaborate with team members throughout the hiring process. The platform often includes tools for candidate engagement, employer branding, and analytics to optimize recruitment strategies and improve hiring outcomes.

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TiDB is an open-source, distributed SQL database system designed to handle both online transaction processing (OLTP) and online analytical processing (OLAP) workloads. It combines the scalability and fault tolerance of distributed systems with the familiar SQL interface, allowing users to seamlessly scale their databases horizontally across multiple nodes while maintaining strong consistency. TiDB is built to handle large-scale, high-performance applications and offers features such as distributed transaction processing, automatic sharding, and real-time analytics. It is commonly used in scenarios that require scalable, distributed databases with strong ACID (Atomicity, Consistency, Isolation, Durability) guarantees.