Best AI tools for< Chief Data Officer >

MachineCon 2024 is an exclusive gathering of analytics and artificial intelligence leaders, organized by AIM Research. The conference focuses on exploring cutting-edge AI technologies and innovative analytics solutions that are shaping the future of various industries. It provides a platform for top analytics leaders to learn, network, and do business, emphasizing the transformative potential of data and AI in driving competitive advantage and business transformation.

Nightfall AI is a comprehensive data security platform that leverages AI technology to protect sensitive data in the AI-driven enterprise. It offers solutions for data loss prevention, data protection, and data privacy for AI applications. Nightfall scans all types of enterprise data, monitors high-risk activities, and enables secure, AI-driven productivity without hindering end-users. The platform integrates seamlessly with enterprise apps and devices, providing immediate response to data exposure incidents. Nightfall is trusted by innovative organizations for its holistic approach to data security and compliance.

CoFinance is an AI-driven legal intelligence and collaboration hub that revolutionizes legal and compliance research workflows. It combines semantic search, multi-faceted document analysis, and intelligent organization tools to provide precise and efficient research solutions. The platform leverages cutting-edge Regulatory Artificial Intelligence (RAI) technology to ensure that answers are sourced from real, authoritative data. CoFinance prioritizes simplifying regulatory complexity, mitigating compliance risks, accelerating research efficiency, and providing reliable partnership for long-term compliance success. It caters to organizations navigating complex regulatory landscapes, offering quick adaptation to changes and seamless compliance across various industries and jurisdictions.

ModelOp is the leading AI Governance software for enterprises, providing a single source of truth for all AI systems, automated process workflows, real-time insights, and integrations to extend the value of existing technology investments. It helps organizations safeguard AI initiatives without stifling innovation, ensuring compliance, accelerating innovation, and improving key performance indicators. ModelOp supports generative AI, Large Language Models (LLMs), in-house, third-party vendor, and embedded systems. The software enables visibility, accountability, risk tiering, systemic tracking, enforceable controls, workflow automation, reporting, and rapid establishment of AI governance.

SwissCognitive is a global AI hub that provides answers to questions related to Artificial Intelligence (AI). The platform connects industries, companies, executives, and technology experts, aiming to align politicians, governments, organizations, and groups in the AI world. SwissCognitive offers insights, news, events, and initiatives in various sectors such as primary & secondary, research & government, media & marketing, high tech & life science, energy & logistics, and cyber & defense & ICT. The platform is committed to unleashing AI in business and features a diverse range of content related to AI ventures, advisory, and research.

Kodora AI is a leading AI technology and advisory firm based in Australia, specializing in providing end-to-end AI services. They offer AI strategy development, use case identification, workforce AI training, and more. With a team of expert AI engineers and consultants, Kodora focuses on delivering practical outcomes for clients across various industries. The firm is known for its deep expertise, solution-focused approach, and commitment to driving AI adoption and innovation.

Disprz is a Skills & Learning Platform designed to accelerate onboarding, job readiness, career mobility, and upskilling/reskilling to address talent gaps. It offers AI-driven personalized skilling, mobile-first frontline enablement, feature-rich mobile learning, decision support dashboard & analytics, and a marketplace ecosystem. The platform simplifies skills and roles, provides market intelligence on trending skills, and helps in identifying critical skills aligned with business strategy. It enables personalized learning experiences, career growth opportunities, leadership talent pipeline creation, and data-driven decision-making for learning investments.

CyberRiskAI.com is a website that is currently under development and is registered at Dynadot.com. The website is expected to offer services related to cyber risk management and artificial intelligence in the future. With a focus on cybersecurity and risk assessment, CyberRiskAI.com aims to provide innovative solutions to help businesses mitigate cyber threats and protect their digital assets. The platform is designed to leverage AI technologies to analyze and predict cyber risks, enabling users to make informed decisions to enhance their security posture.

Roast My Job Application is an AI-powered tool designed to provide brutally honest feedback on job applications. Users can submit their cover letters to be reviewed by Coda AI, specifically by Ubel, a sarcastic and unapologetic recruiter. The tool simulates a recruitment process at Omnicorp Inc., a fictional company, offering various positions for applicants to apply. The application is AI-generated and securely stores user data for composing rejection letters.

Abnormal AI is a platform that provides comprehensive email protection against attacks exploiting human behavior, such as phishing and social engineering. It deeply understands human behavior through AI-native solutions and API-based architecture. The platform accesses extensive behavioral data, employs computer vision and NLP for detection, and offers multi-layered defenses across email and messaging channels. Abnormal products automate workflows, boost productivity, and protect against modern email threats.

Metal Networks is an AI-enabled B2B software platform that empowers industrial suppliers by simplifying quoting processes through AI-enabled product taxonomy and catalog search. The platform addresses the challenges faced by buyers and suppliers in the industrial material and commercial markets, such as product abbreviations, lack of taxonomy, and manual data entry. Metal Networks aims to streamline RFQ processes, enhance digital experiences, and optimize sourcing and procurement efficiency for organizations.

Byrdhouse is an AI-powered application that offers real-time translation in voice and captions for over 100 languages. It enables seamless communication and collaboration by providing instant and accurate translations for meetings, calls, and chats. Byrdhouse aims to break language barriers and create an inclusive environment where everyone's voice is heard, regardless of the language they speak. The application is trusted by various organizations and individuals worldwide for its top-notch translation services and its ability to facilitate genuine, human conversations.

Practical Deep Learning for Coders is a free course designed for individuals with some coding experience who want to learn how to apply deep learning and machine learning to practical problems. The course covers topics such as building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering problems. It is based on a 5-star rated book and does not require any special hardware or software. The course is led by Jeremy Howard, a renowned expert in machine learning and the President and Chief Scientist of Kaggle.

Health Imaging is an AI-powered platform that focuses on providing cutting-edge solutions in medical imaging and healthcare management. The platform offers a wide range of features and tools that leverage artificial intelligence to enhance diagnostic accuracy, streamline workflows, and improve patient care. From advanced imaging technologies to AI-based training solutions, Health Imaging is at the forefront of innovation in the healthcare industry.

Charly AI Solutions is a leading AI automation company that offers custom chatbots, phone assistants, and other AI solutions to empower businesses. Their AI applications include Humanizer Pro for humanizing AI-generated texts, Recruiter Pro for ranking job compatibility, Cooking Pro for cooking assistance, and Script Pro for generating and analyzing YouTube scripts. The company also provides services to automate tasks using generative artificial intelligence and offers personalized AI solutions for enhanced efficiency and customer relationships.

RestoGPT AI is an AI tool designed specifically for local restaurants. It provides advanced AI capabilities to help restaurants streamline their operations, enhance customer experience, and boost efficiency. With RestoGPT AI, restaurants can automate various tasks, generate personalized recommendations, and analyze customer data to make informed decisions. The tool is user-friendly and tailored to meet the unique needs of local restaurants, making it a valuable asset for restaurant owners and managers.

OpenChat is an AI-powered marketing platform designed to help businesses of all sizes streamline their marketing efforts, optimize sales strategies, and unlock unparalleled growth opportunities. The platform offers a suite of tools including tailored marketing solutions, SEO optimization, social media mastery, product pricing optimization, ad optimization, email marketing, content generation, and market research. OpenChat's mission is to empower businesses with cutting-edge AI technology to transform the way they engage with their audience, enhance their online presence, and maximize their revenue potential.

ChatPRD is an AI Copilot for Product Work that helps product managers, VPs, founders, and teams without product managers to create great product requirements documents efficiently. It acts as an AI Chief Product Officer, providing feedback, coaching, and generating PRDs from simple ideas. The tool aims to save time, improve productivity, and enhance the quality of product management work.

Xembly is an AI-powered productivity platform that helps enterprises boost workforce capacity by 20%. It offers a suite of automated tools for scheduling, note-taking, task management, and more. Xembly integrates with popular enterprise tools and is designed with enterprise-level compliance and security in mind.

Ambient is an AI-powered assistant designed for Chiefs of Staff, Managers, and Founders to enhance meeting productivity and task management. It offers features such as AI Meeting Note Taking, Email Analysis, Meeting Series Management, Slack Summarization, and Ambient Culture Security. The application aims to streamline meeting processes, improve decision-making, and increase efficiency for fast-moving teams.

ChatDev is a virtual software company powered by intelligent agents like CEO, CPO, CTO, programmer, reviewer, tester, and art designer. These agents collaborate to revolutionize the digital world through programming. The platform offers an easy-to-use, highly customizable, and extendable framework based on large language models, ideal for studying collective intelligence. ChatDev introduces innovative methods like Iterative Experience Refinement and Experiential Co-Learning to enhance software development efficiency. It supports features like incremental development, Docker integration, Git mode, and Human-Agent-Interaction mode. Users can customize ChatChain, Phase, and Role settings, and share their software creations easily. The project is open-source under the Apache 2.0 License and utilizes data licensed under CC BY-NC 4.0.

WebScout is a versatile tool that allows users to search for anything using Google, DuckDuckGo, and phind.com. It contains AI models, can transcribe YouTube videos, generate temporary email and phone numbers, has TTS support, webai (terminal GPT and open interpreter), and offline LLMs. It also supports features like weather forecasting, YT video downloading, temp mail and number generation, text-to-speech, advanced web searches, and more.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

This repository aims to promote global equality for individuals pursuing a PhD in NLP by providing resources and information on various aspects of the academic journey. It covers topics such as applying for a PhD, getting research opportunities, preparing for the job market, and succeeding in academia. The repository is actively updated and includes contributions from experts in the field.

AI Summer is a repository focused on providing workshops and resources for developing foundational skills in generative AI models and transformer models. The repository offers practical applications for inferencing and training, with a specific emphasis on understanding and utilizing advanced AI chat models like BingGPT. Participants are encouraged to engage in interactive programming environments, decide on projects to work on, and actively participate in discussions and breakout rooms. The workshops cover topics such as generative AI models, retrieval-augmented generation, building AI solutions, and fine-tuning models. The goal is to equip individuals with the necessary skills to work with AI technologies effectively and securely, both locally and in the cloud.

This repository contains tutorials for using Large Language Models (LLMs) in the U.S. Department of Defense. The tutorials utilize open-source frameworks and LLMs, allowing users to run them in their own cloud environments. The repository is maintained by the Defense Digital Service and welcomes contributions from users.

SuperKnowa is a fast framework to build Enterprise RAG (Retriever Augmented Generation) Pipelines at Scale, powered by watsonx. It accelerates Enterprise Generative AI applications to get prod-ready solutions quickly on private data. The framework provides pluggable components for tackling various Generative AI use cases using Large Language Models (LLMs), allowing users to assemble building blocks to address challenges in AI-driven text generation. SuperKnowa is battle-tested from 1M to 200M private knowledge base & scaled to billions of retriever tokens.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

The `Call-for-Reviewers` repository aims to collect the latest 'call for reviewers' links from various top CS/ML/AI conferences/journals. It provides an opportunity for individuals in the computer/ machine learning/ artificial intelligence fields to gain review experience for applying for NIW/H1B/EB1 or enhancing their CV. The repository helps users stay updated with the latest research trends and engage with the academic community.

Learn Cloud Applied Generative AI Engineering (GenEng) is a course focusing on the application of generative AI technologies in various industries. The course covers topics such as the economic impact of generative AI, the role of developers in adopting and integrating generative AI technologies, and the future trends in generative AI. Students will learn about tools like OpenAI API, LangChain, and Pinecone, and how to build and deploy Large Language Models (LLMs) for different applications. The course also explores the convergence of generative AI with Web 3.0 and its potential implications for decentralized intelligence.

This repository contains data and code for the experiments in the SummHay paper. It includes publicly released Haystacks in conversational and news domains, along with scripts for running the pipeline, visualizing results, and benchmarking automatic evaluation. The data structure includes topics, subtopics, insights, queries, retrievers, summaries, evaluation summaries, and documents. The pipeline involves scripts for retriever scores, summaries, and evaluation scores using GPT-4o. Visualization scripts are provided for compiling and visualizing results. The repository also includes annotated samples for benchmarking and citation information for the SummHay paper.

This repo contains official implementations of **Coach AI Badminton Project** from Advanced Database System Laboratory, National Yang Ming Chiao Tung University supervised by Prof. Wen-Chih Peng. The high-level concepts of each project are as follows: 1. Visualization Platform published at _Physical Education Journal 2020_ aims to construct a platform that can be used to illustrate the data from matches. 2. Shot Influence and Extension Work published at _ICDM-21_ and _ACM TIST 2022_ , respectively introduce a framework with a shot encoder, a pattern extractor, and a rally encoder to capture long short-term dependencies for evaluating players' performance of each shot. 3. Stroke Forecasting published at _AAAI-22_ proposes the first stroke forecasting task to predict the future strokes of both players based on the given strokes by ShuttleNet, a position-aware fusion of rally progress and player styles framework. 4. Strategic Environment published at _AAAI-23 Student Abstract_ designs a safe and reproducible badminton environment for turn-based sports, which simulates rallies with different angles of view and designs the states, actions, and training procedures. 5. Movement Forecasting published at _AAAI-23_ proposes the first movement forecasting task, which contains not only the goal of stroke forecasting but also the movement of players, by DyMF, a novel dynamic graphs and hierarchical fusion model based on the proposed player movements (PM) graphs. 6. CoachAI-Challenge-IJCAI2023 is a badminton challenge (CC4) hosted at _IJCAI-23_. Please find the website for more details. 7. ShuttleSet published at _KDD-23_ is the largest badminton singles dataset with stroke-level records. - An extension dataset ShuttleSet22 published at _IJCAI-24 Demo & IJCAI-23 IT4PSS Workshop_ is also released. 8. CoachAI Badminton Environment published at _AAAI-24 Student Abstract and Demo, DSAI4Sports @ KDD 2023_ is a reinforcement learning (RL) environment tailored for AI-driven sports analytics, offering: i) Realistic opponent simulation for RL training; ii) Visualizations for evaluation; and iii) Performance benchmarks for assessing agent capabilities.

This repository tracks the latest research on machine unlearning in large language models (LLMs). It offers a comprehensive list of papers, datasets, and resources relevant to the topic.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

The TensorRT-LLM Backend is a Triton backend designed to serve TensorRT-LLM models with Triton Inference Server. It supports features like inflight batching, paged attention, and more. Users can access the backend through pre-built Docker containers or build it using scripts provided in the repository. The backend can be used to create models for tasks like tokenizing, inferencing, de-tokenizing, ensemble modeling, and more. Users can interact with the backend using provided client scripts and query the server for metrics related to request handling, memory usage, KV cache blocks, and more. Testing for the backend can be done following the instructions in the 'ci/README.md' file.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

Atom is an accurate low-bit weight-activation quantization algorithm that combines mixed-precision, fine-grained group quantization, dynamic activation quantization, KV-cache quantization, and efficient CUDA kernels co-design. It introduces a low-bit quantization method, Atom, to maximize Large Language Models (LLMs) serving throughput with negligible accuracy loss. The codebase includes evaluation of perplexity and zero-shot accuracy, kernel benchmarking, and end-to-end evaluation. Atom significantly boosts serving throughput by using low-bit operators and reduces memory consumption via low-bit quantization.

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