Best AI tools for< Process Big Data >

Mosaictrack is an AI-powered platform that revolutionizes the recruitment process by leveraging artificial intelligence to match candidates with suitable job opportunities. The platform offers a range of products and features, including diversity enhancement, chatbot engagement, and machine learning-based recruiting. Mosaictrack aims to streamline the hiring process, reduce bias, and improve candidate experience through innovative AI technologies.

SOAX AI data collection is a powerful tool that utilizes artificial intelligence to gather and analyze data from various online sources. It automates the process of data collection, saving time and effort for users. The tool is designed to extract relevant information efficiently and accurately, providing valuable insights for businesses and researchers. With its advanced algorithms, SOAX AI data collection can handle large volumes of data quickly and effectively, making it a valuable asset for anyone in need of data-driven decision-making.

Appen is a leading provider of high-quality data for training AI models. The company's end-to-end platform, flexible services, and deep expertise ensure the delivery of high-quality, diverse data that is crucial for building foundation models and enterprise-ready AI applications. Appen has been providing high-quality datasets that power the world's leading AI models for decades. The company's services enable it to prepare data at scale, meeting the demands of even the most ambitious AI projects. Appen also provides enterprises with software to collect, curate, fine-tune, and monitor traditionally human-driven tasks, creating massive efficiencies through a trustworthy, traceable process.

Liner is a free and easy-to-use tool that allows users to train machine learning models without writing any code. It provides a user-friendly interface that guides users through the process of importing data, selecting a model, and training the model. Liner also offers a variety of pre-trained models that can be used for common tasks such as image classification, text classification, and object detection. With Liner, users can quickly and easily create and deploy machine learning applications without the need for specialized knowledge or expertise.

Hyena Information Technologies is a leading provider of technology solutions specializing in Mobile App Development, Artificial Intelligence, Machine Learning, Automation, Deep Learning, and Big Data. The company offers services to automate and digitize business processes, enhance operational excellence, and drive growth with advanced AI-powered applications and intelligent solutions. They focus on delivering custom iOS, Android, cross-platform, and web applications, as well as IoT consulting and strategy services. Hyena is committed to integrity, transparency, innovation, and efficiency in helping clients achieve their digital transformation goals.

Coursebox is an AI-powered course creation platform that helps businesses create and deliver engaging and effective training programs. With Coursebox, you can convert your existing resources into courses, add AI-powered features like chatbots and quizzes, and track your learners' progress. Coursebox is used by over 30,000 businesses worldwide to create and deliver training programs that are faster, more engaging, and more effective.

OpusClip is an AI-powered video repurposing tool that allows users to easily transform long videos into engaging short clips optimized for various social media platforms. The tool leverages big data analysis and AI technology to identify key moments in videos, add dynamic captions, and seamlessly create viral-worthy content. With features like AI b-roll generation, auto reframing, customizable brand templates, and social post scheduling, OpusClip streamlines the video editing process and helps users grow their online presence. The platform supports multiple languages and offers a free trial of its Pro Plan, making it accessible to a wide range of content creators and marketers.

Flipped.ai is an AI-powered talent intelligence platform that helps businesses find, evaluate, and hire top talent faster and more efficiently. With its advanced features, Flipped.ai streamlines the recruitment process, making it easier for HR teams to connect with the perfect candidates. The platform offers a range of tools, including AI-powered job description and screening question generators, candidate recommendations, and seamless integrations with job boards and ATSs. Flipped.ai's mission is to make hiring more efficient, affordable, and effective for businesses of all sizes.

The PR Creator is an AI-powered public relations tool that helps businesses create compelling press releases quickly and easily. The platform utilizes advanced artificial intelligence to analyze current trends and craft press releases that are relevant, impactful, and optimized for search engines. With The PR Creator, businesses can streamline their PR process, reduce costs, and elevate their brand's voice with precision and flair.

Trickle AI is a platform that allows users to easily build stunning websites, AI apps, and forms. It offers a seamless experience for creating web applications with built-in AI capabilities. Users can switch between different UI and UX themes effortlessly, manage data storage, and deploy websites with custom domains. The platform also features a community-driven library of web apps created by users. Trickle AI aims to simplify the process of website creation and empower users to bring their ideas to life with beautiful designs.

Scopilot AI is an AI-powered tool designed to accelerate software project scoping by generating project scope, features, user stories, and clarification questions based on the initial project description. It helps software agencies and individuals in defining a clear scope and facilitating the product discovery and specification phase. The tool automates the process of generating UI screens, user actions, components, and database schema, making project scoping 10x faster and more efficient.

Process Street is an AI-powered platform that helps businesses streamline their processes and improve operational efficiency. It offers features such as workflows automation, data unification, document sharing, and AI transformation. With Process Street, users can create, track, and complete tasks efficiently, make data-driven decisions, and automate repetitive tasks using generative AI. The platform also provides analytics to track key performance indicators and ensure consistent adherence to procedures. Process Street is trusted by top companies to revolutionize workflow management and drive productivity and growth.

Process Street is a powerful checklist, workflow, and SOP software that is designed to streamline and automate business processes. It offers a wide range of features such as workflows, projects, data sets, forms, and pages to help organizations organize and manage their operations efficiently. With AI capabilities, Process Street can transform manual processes, boost productivity, and empower decision-making with analytics. The platform also provides integrations with various tools for maximum efficiency.

Super.AI provides Intelligent Document Processing (IDP) solutions powered by Large Language Models (LLMs) and human-in-the-loop (HITL) capabilities. It automates document processing tasks such as data extraction, classification, and redaction, enabling businesses to streamline their workflows and improve accuracy. Super.AI's platform leverages cutting-edge AI models from providers like Amazon, Google, and OpenAI to handle complex documents, ensuring high-quality outputs. With its focus on accuracy, flexibility, and scalability, Super.AI caters to various industries, including financial services, insurance, logistics, and healthcare.

Smace is an AI-powered SaaS platform designed to enhance process implementation efficiency. It offers features such as enhanced process collaboration, automated workflows and integration, streamlined task management, and data-driven decision support. Smace aims to bridge the gap between process design and execution, promoting team efficiency, streamlined collaboration, and advanced integration.

Greenhouse is an AI-powered applicant tracking software and hiring platform that offers smart hiring tools to streamline the hiring process. It provides features such as AI tools for sourcing, texting solutions, and feature upgrades to help connect teams and propel success. Greenhouse is designed to help companies hire fairly and purposefully, offering expertise and advice to maximize hiring ROI and support business growth at any stage.

Expertia AI is an AI-powered hiring partner that leverages advanced algorithms and machine learning to streamline the recruitment process. It offers a comprehensive suite of tools to assist HR professionals in sourcing, screening, and selecting top talent efficiently. By automating repetitive tasks and providing data-driven insights, Expertia AI helps companies make informed hiring decisions and improve overall recruitment outcomes.

Stockimg AI is an all-in-one design and content creation tool powered by AI. It allows users to generate logos, illustrations, wallpapers, posters, and more. The tool enables end-to-end social media management, content generation, scheduling, and customization. With integrations for over 10 social media platforms, users can automate their posts and create stunning designs in minutes. Stockimg AI aims to streamline content creation processes and help businesses and individuals manage their social media presence efficiently.

PyjamaHR is a leading AI-powered Applicant Tracking System (ATS) and recruitment software designed to streamline the hiring process for businesses of all sizes. It offers advanced features such as source management, candidate evaluation, collaboration tools, and AI-powered candidate tests to enhance the efficiency and effectiveness of the recruitment process. With a user-friendly interface and robust security measures, PyjamaHR is a trusted solution for managing talent acquisition and improving hiring outcomes.

MyEssayWriter.ai is an AI-powered essay writing tool that offers advanced features to help students generate high-quality essays efficiently. The tool is designed to save time, improve writing skills, and provide unique and plagiarism-free content. With a user-friendly interface and customizable essays, MyEssayWriter.ai aims to revolutionize the writing process for students worldwide.

Daily-DeepLearning is a repository that covers various computer science topics such as data structures, operating systems, computer networks, Python programming, data science packages like numpy, pandas, matplotlib, machine learning theories, deep learning theories, NLP concepts, machine learning practical applications, deep learning practical applications, and big data technologies like Hadoop and Hive. It also includes coding exercises related to '剑指offer'. The repository provides detailed explanations and examples for each topic, making it a comprehensive resource for learning and practicing different aspects of computer science and data-related fields.

PulsarRPAPro is a powerful robotic process automation (RPA) tool designed to automate repetitive tasks and streamline business processes. It offers a user-friendly interface for creating and managing automation workflows, allowing users to easily automate tasks without the need for extensive programming knowledge. With features such as task scheduling, data extraction, and integration with various applications, PulsarRPAPro helps organizations improve efficiency and productivity by reducing manual work and human errors. Whether you are a small business looking to automate simple tasks or a large enterprise seeking to optimize complex processes, PulsarRPAPro provides the flexibility and scalability to meet your automation needs.

XLearning is a scheduling platform for big data and artificial intelligence, supporting various machine learning and deep learning frameworks. It runs on Hadoop Yarn and integrates frameworks like TensorFlow, MXNet, Caffe, Theano, PyTorch, Keras, XGBoost. XLearning offers scalability, compatibility, multiple deep learning framework support, unified data management based on HDFS, visualization display, and compatibility with code at native frameworks. It provides functions for data input/output strategies, container management, TensorBoard service, and resource usage metrics display. XLearning requires JDK >= 1.7 and Maven >= 3.3 for compilation, and deployment on CentOS 7.2 with Java >= 1.7 and Hadoop 2.6, 2.7, 2.8.

Greenplum Database (GPDB) is an advanced, fully featured, open source data warehouse, based on PostgreSQL. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared toward big data analytics, Greenplum Database is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.

MyScaleDB is a SQL vector database optimized for AI applications, enabling developers to manage and process massive volumes of data efficiently. It offers fast and powerful vector search, filtered search, and SQL-vector join queries, making it fully SQL-compatible. MyScaleDB provides unmatched performance and scalability by leveraging cutting-edge OLAP database architecture and advanced vector algorithms. It is production-ready for AI applications, supporting structured data, text, vector, JSON, geospatial, and time-series data. MyScale Cloud offers fully-managed MyScaleDB with premium features on billion-scale data, making it cost-effective and simpler to use compared to specialized vector databases. Built on top of ClickHouse, MyScaleDB combines structured and vector search efficiently, ensuring high accuracy and performance in filtered search operations.

MyScaleDB is a SQL vector database designed for scalable AI applications, enabling developers to efficiently manage and process massive volumes of data using familiar SQL. It offers fast and efficient vector search, filtered search, and SQL-vector join queries. MyScaleDB is fully SQL-compatible and production-ready for AI applications, providing unmatched performance and scalability through cutting-edge OLAP architecture and advanced vector algorithms. Built on top of ClickHouse, it combines structured and vectorized data management for high accuracy and speed in filtered searches.

PulsarRPA is a high-performance, distributed, open-source Robotic Process Automation (RPA) framework designed to handle large-scale RPA tasks with ease. It provides a comprehensive solution for browser automation, web content understanding, and data extraction. PulsarRPA addresses challenges of browser automation and accurate web data extraction from complex and evolving websites. It incorporates innovative technologies like browser rendering, RPA, intelligent scraping, advanced DOM parsing, and distributed architecture to ensure efficient, accurate, and scalable web data extraction. The tool is open-source, customizable, and supports cutting-edge information extraction technology, making it a preferred solution for large-scale web data extraction.

Fluid is an open source Kubernetes-native Distributed Dataset Orchestrator and Accelerator for data-intensive applications, such as big data and AI applications. It implements dataset abstraction, scalable cache runtime, automated data operations, elasticity and scheduling, and is runtime platform agnostic. Key concepts include Dataset and Runtime. Prerequisites include Kubernetes version > 1.16, Golang 1.18+, and Helm 3. The tool offers features like accelerating remote file accessing, machine learning, accelerating PVC, preloading dataset, and on-the-fly dataset cache scaling. Contributions are welcomed, and the project is under the Apache 2.0 license with a vendor-neutral approach.

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

Awesome-Lists is a curated index of selected resources spanning various fields including programming languages and theories, web and frontend development, server-side development and infrastructure, cloud computing and big data, data science and artificial intelligence, product design, etc. It includes articles, books, courses, examples, open-source projects, and more. The repository categorizes resources according to the knowledge system of different domains, aiming to provide valuable and concise material indexes for readers. Users can explore and learn from a wide range of high-quality resources in a systematic way.

AI-Drug-Discovery-Design is a repository focused on Artificial Intelligence-assisted Drug Discovery and Design. It explores the use of AI technology to accelerate and optimize the drug development process. The advantages of AI in drug design include speeding up research cycles, improving accuracy through data-driven models, reducing costs by minimizing experimental redundancies, and enabling personalized drug design for specific patients or disease characteristics.

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

AI-LLM-ML-CS-Quant-Overview is a repository providing overview notes on AI, Large Language Models (LLM), Machine Learning (ML), Computer Science (CS), and Quantitative Finance. It covers various topics such as LangGraph & Cursor AI, DeepSeek, MoE (Mixture of Experts), NVIDIA GTC, LLM Essentials, System Design, Computer Systems, Big Data and AI in Finance, Econometrics and Statistics Conference, C++ Design Patterns and Derivatives Pricing, High-Frequency Finance, Machine Learning for Algorithmic Trading, Stochastic Volatility Modeling, Quant Job Interview Questions, Distributed Systems, Language Models, Designing Machine Learning Systems, Designing Data-Intensive Applications (DDIA), Distributed Machine Learning, and The Elements of Quantitative Investing.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

MATLAB-Simulink-Challenge-Project-Hub is a repository aimed at contributing to the progress of engineering and science by providing challenge projects with real industry relevance and societal impact. The repository offers a wide range of projects covering various technology trends such as Artificial Intelligence, Autonomous Vehicles, Big Data, Computer Vision, and Sustainability. Participants can gain practical skills with MATLAB and Simulink while making a significant contribution to science and engineering. The projects are designed to enhance expertise in areas like Sustainability and Renewable Energy, Control, Modeling and Simulation, Machine Learning, and Robotics. By participating in these projects, individuals can receive official recognition for their problem-solving skills from technology leaders at MathWorks and earn rewards upon project completion.

Sail is a tool designed to unify stream processing, batch processing, and compute-intensive workloads, serving as a drop-in replacement for Spark SQL and the Spark DataFrame API in single-process settings. It aims to streamline data processing tasks and facilitate AI workloads.

Data Engineering Zoomcamp is a comprehensive course covering various aspects of data engineering, including data ingestion, workflow orchestration, data warehouse, analytics engineering, batch processing, and stream processing. The course provides hands-on experience with tools like Python, Rust, Terraform, Airflow, BigQuery, dbt, PySpark, Kafka, and more. Students will learn how to work with different data technologies to build scalable and efficient data pipelines for analytics and processing. The course is designed for individuals looking to enhance their data engineering skills and gain practical experience in working with big data technologies.

AiTreasureBox is a versatile AI tool that provides a collection of pre-trained models and algorithms for various machine learning tasks. It simplifies the process of implementing AI solutions by offering ready-to-use components that can be easily integrated into projects. With AiTreasureBox, users can quickly prototype and deploy AI applications without the need for extensive knowledge in machine learning or deep learning. The tool covers a wide range of tasks such as image classification, text generation, sentiment analysis, object detection, and more. It is designed to be user-friendly and accessible to both beginners and experienced developers, making AI development more efficient and accessible to a wider audience.

APS Toolkit is a powerful tool for developers, software engineers, and AI engineers to explore Autodesk Platform Services (APS). It allows users to read, download, and write data from APS, as well as export data to various formats like CSV, Excel, JSON, and XML. The toolkit is built on top of Autodesk.Forge and Newtonsoft.Json, offering features such as reading SVF models, querying properties database, exporting data, and more.

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Friendly process engineer for Coda.io

Guides clear BPMN process design with ASCII art

Optimizes production processes for improved efficiency and quality.

Optimizes business operations through process enhancements.

Optimizes production processes for efficient large-scale operations.

Improves operational efficiency by optimizing processes and reducing waste.

Discover Process Talks: Your Next Investment!

Optimizes manufacturing processes for efficiency and quality.

Emulating Whitehead's insights on 'Process and Reality'

Process Documentation for serving GPTs.

Trademark Process Assistant, Not an Attorney & Definitely Not Legal Advice (independently verify info received). Gain insights on U.S. trademark process & concepts, USPTO resources, application steps & more - all while being reminded of the importance of consulting legal pros 4 specific guidance.

Structured process for prioritizing marketing tasks based on strategic alignment. Outputs in Eisenhower, RACI and other methodologies.

Assists in the caregiving process for seniors.

Guides future parents through the adoption process with empathy and information.

Insurance providers collect and process personal health, financial, and property information, making it crucial to implement comprehensive data protection strategies.

Formal SBIR process expert for Air Force/Space Force

To streamline the process of creating scripts for Brut-style videos by providing structured guidance in researching, strategizing, and writing, ensuring the final script is rich in content and visually captivating.

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I will give you all the information about the Audit and Certification process of ISO 9001 Management Systems, either in the form of a specialization course or consultations.