Best AI tools for< Provide Regulatory Advice >

Conformity is an AI-powered platform designed to simplify compliance processes for businesses. It offers expert advice on compliance, personalized templates, and immediate responses to compliance questions. With CompliBot at its core, Conformity ensures businesses meet regulatory requirements effortlessly. The platform covers a wide range of compliance frameworks such as SOC 2, HIPAA, GDPR, and more, providing comprehensive support to users.

Compliance Quarter is a leading provider of compliance solutions for the energy industry. We offer a range of services to help businesses manage their compliance obligations, including expert advice, document review, and technology solutions. Our team of experienced professionals has deep expertise in the energy industry and is committed to providing our clients with the highest level of service. We are proud to be the trusted partner of some of the world's largest energy companies.

Compliance.ai is a regulatory compliance and risk management solution that leverages purpose-built machine learning models to automatically monitor regulatory updates and align them with internal policies, procedures, and controls. The platform ensures timely tracking, reaction, and reporting on impactful regulations and requirements, helping organizations mitigate risks, reduce costs, and increase confidence in compliance status. Compliance.ai offers a comprehensive suite of features and capabilities to streamline regulatory intelligence, impact analysis, change management, audit reporting, enforcement actions management, and more.

The website is an AI tool focused on providing news, insights, and updates on the application of artificial intelligence in the healthcare industry. It covers a wide range of topics such as digital transformation, care delivery, and AI regulations. The platform aims to educate and inform healthcare professionals, industry watchers, and stakeholders about the latest trends, challenges, and opportunities in leveraging AI for improving patient care and healthcare operations.

Intelligencia AI is a leading provider of AI-powered solutions for the pharmaceutical industry. Our suite of solutions helps de-risk and enhance clinical development and decision-making. We use a combination of data, AI, and machine learning to provide insights into the probability of success for drugs across multiple therapeutic areas. Our solutions are used by many of the top global pharmaceutical companies to improve their R&D productivity and make more informed decisions.

Cornerstone is an AI-powered workforce agility platform that helps organizations close the workforce readiness gap by providing personalized experiences and deeper insights. It offers modern learning experiences and skills-forward, AI-powered HR technology. The platform ensures regulatory compliance, focuses on skills and talent-driven human capital management, and aims to build a diverse, equitable, and inclusive workplace. Cornerstone caters to various industries such as the public sector, financial services, healthcare, life sciences, manufacturing, higher education, and nonprofit organizations. It offers a range of resources, tools, and tips to empower people at work and prepare them for future trends in the workforce.

Oncora Medical is a healthcare technology company that provides software and data solutions to oncologists and cancer centers. Their products are designed to improve patient care, reduce clinician burnout, and accelerate clinical discoveries. Oncora's flagship product, Oncora Patient Care, is a modern, intelligent user interface for oncologists that simplifies workflow, reduces documentation burden, and optimizes treatment decision making. Oncora Analytics is an adaptive visual and backend software platform for regulatory-grade real world data analytics. Oncora Registry is a platform to capture and report quality data, treatment data, and outcomes data in the oncology space.

The AI Audit Bot is an AI compliance auditing tool designed to help users understand and mitigate compliance risks associated with AI projects. It uses Intelligent Knowledge Graph technology to provide insights on current and future compliance considerations. The tool supports jurisdictions like the USA, the EU, and the UK, with plans to add more. The audit results are transparent, traceable, and presented in a downloadable PDF format. The tool is created by Dr. Andy Edmonds, a pioneer in AI ethics and transparency. It aims to inform users of potential compliance issues and offers a human review option for complex cases.

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.

AudioCodes VoiceAI Connect is a cloud-based platform that enables developers to build and deploy voicebots. It provides a range of features, including connectivity to any contact center or SIP trunk, support for any speech engine or bot framework, and the ability to reduce the cost of speech services by up to 40%. VoiceAI Connect is available as a fully managed service (Enterprise edition) and as a self-service SaaS solution (AudioCodes Live Hub) to support any deployment, integration, or regulatory needs.

Netify provides network intelligence and visibility. Its solution stack starts with a Deep Packet Inspection (DPI) engine that passively collects data on the local network. This lightweight engine identifies applications, protocols, hostnames, encryption ciphers, and other network attributes. The software can be integrated into network devices for traffic identification, firewalling, QoS, and cybersecurity. Netify's Informatics engine collects data from local DPI engines and uses the power of a public or private cloud to transform it into network intelligence. From device identification to cybersecurity risk detection, Informatics provides a way to take a proactive approach to manage network threats, bottlenecks, and usage. Lastly, Netify's Data Feeds provide data to help vendors understand how applications behave on the Internet.

Alexa Translations is an AI-powered translation service that combines the expertise of professional translators with cutting-edge AI technology to provide custom translation solutions for legal, financial, securities, and HR teams. The platform offers a blend of human intelligence and AI capabilities, ensuring unmatched quality and accuracy in translations. With a focus on industry-specific terminology and regulatory compliance, Alexa Translations caters to a wide range of clients, including banks, law firms, and other industry leaders.

Zest AI is an AI-driven credit underwriting software that offers a complete solution for AI-driven lending. It enables users to build custom machine learning risk models, adopt model assessment and regulatory compliance, and operate performance management and model monitoring. Zest AI helps increase approvals, manage risk, control loss, drive operational efficiency, automate credit decisioning, and improve borrower experience while ensuring fair lending practices. The software is designed to provide powerful AI for better lending outcomes by accelerating loan growth and expanding credit access through accurate risk prediction and faster credit decisions.

Zest AI is an AI-driven credit underwriting software that offers a complete solution for AI-driven lending. It enables users to build custom machine learning risk models, adopt model assessment and regulatory compliance, and operate performance management and model monitoring. Zest AI helps increase approvals, manage risk, control loss, drive operational efficiency, automate credit decisioning, and improve borrower experience while ensuring fair lending practices. The software is designed to provide fair and transparent credit for everyone, making lending more accessible and inclusive.

Boomi is an AI-powered integration and automation platform that simplifies and accelerates business processes by leveraging generative AI capabilities. With over 20,000 customers worldwide, Boomi offers flexible pricing for small to enterprise-level businesses, ensuring security and compliance with regulatory standards. The platform enables seamless integration, automation, and management of applications, data, APIs, workflows, and event-driven integrations. Boomi AI Agents provide advanced features like AI-powered data classification, automated data mapping, error resolution, and process documentation. Boomi AI empowers businesses to streamline operations, enhance efficiency, and drive growth through proactive business intelligence and cross-team collaboration.

Ascent RLM is a regulatory lifecycle management platform that helps financial services companies identify, analyze, and manage regulatory obligations. It is composed of two integrated modules: AscentHorizon, a global horizon scanning tool, and AscentFocus, a regulatory mapping tool. Ascent RLM automates the regulatory mapping process, extracts individual obligations from regulatory text, and provides a centralized digital register of a firm's regulatory obligations. It also includes features such as side-by-side rule comparison, scenario planning, and audit trail.

Wolters Kluwer is a global provider of professional information, software solutions, and services for various industries, including healthcare, tax and accounting, ESG, finance, compliance, and legal. The company's solutions combine domain expertise with advanced technology to help professionals make informed decisions, optimize processes, and achieve better outcomes. Wolters Kluwer's offerings include clinical decision support tools, tax and accounting software, ESG reporting solutions, regulatory compliance solutions, and legal research databases.

Relyance AI is a platform that offers 360 Data Governance and Trust solutions. It helps businesses safeguard against fines and reputation damage while enhancing customer trust to drive business growth. The platform provides visibility into enterprise-wide data processing, ensuring compliance with regulatory and customer obligations. Relyance AI uses AI-powered risk insights to proactively identify and address risks, offering a unified trust and governance infrastructure. It offers features such as data inventory and mapping, automated assessments, security posture management, and vendor risk management. The platform is designed to streamline data governance processes, reduce costs, and improve operational efficiency.

Credo AI is a leading provider of AI governance, risk management, and compliance solutions. The company's platform helps organizations to track, prioritize, and control AI projects to ensure that AI remains profitable, compliant, and safe. Credo AI's platform is used by a variety of organizations, including Fortune 500 companies, government agencies, and non-profit organizations.

Credo AI is a leading provider of AI governance, risk management, and compliance software. Our platform helps organizations to adopt AI safely and responsibly, while ensuring compliance with regulations and standards. With Credo AI, you can track and prioritize AI projects, assess AI vendor models for risk and compliance, create artifacts for audit, and more.

The Azure-Analytics-and-AI-Engagement repository provides packaged Industry Scenario DREAM Demos with ARM templates (Containing a demo web application, Power BI reports, Synapse resources, AML Notebooks etc.) that can be deployed in a customer’s subscription using the CAPE tool within a matter of few hours. Partners can also deploy DREAM Demos in their own subscriptions using DPoC.

PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.

RD-Agent is a tool designed to automate critical aspects of industrial R&D processes, focusing on data-driven scenarios to streamline model and data development. It aims to propose new ideas ('R') and implement them ('D') automatically, leading to solutions of significant industrial value. The tool supports scenarios like Automated Quantitative Trading, Data Mining Agent, Research Copilot, and more, with a framework to push the boundaries of research in data science. Users can create a Conda environment, install the RDAgent package from PyPI, configure GPT model, and run various applications for tasks like quantitative trading, model evolution, medical prediction, and more. The tool is intended to enhance R&D processes and boost productivity in industrial settings.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

The `sec-parser` project simplifies extracting meaningful information from SEC EDGAR HTML documents by organizing them into semantic elements and a tree structure. It helps in parsing SEC filings for financial and regulatory analysis, analytics and data science, AI and machine learning, causal AI, and large language models. The tool is especially beneficial for AI, ML, and LLM applications by streamlining data pre-processing and feature extraction.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

Züs is a high-performance cloud on a fast blockchain offering privacy and configurable uptime. It uses erasure code to distribute data between data and parity servers, allowing flexibility for IT managers to design for security and uptime. Users can easily share encrypted data with business partners through a proxy key sharing protocol. The ecosystem includes apps like Blimp for cloud migration, Vult for personal cloud storage, and Chalk for NFT artists. Other apps include Bolt for secure wallet and staking, Atlus for blockchain explorer, and Chimney for network participation. The QoS protocol challenges providers based on response time, while the privacy protocol enables secure data sharing. Züs supports hybrid and multi-cloud architectures, allowing users to improve regulatory compliance and security requirements.

2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

The Microsoft Health Intelligence Machine Learning Toolbox is a repository that provides low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It simplifies and streamlines work on deep learning models for healthcare and life sciences by offering tested components such as data loaders, pre-processing tools, deep learning models, and cloud integration utilities. The repository includes two Python packages, 'hi-ml-azure' for helper functions in AzureML, 'hi-ml' for ML components, and 'hi-ml-cpath' for models and workflows related to histopathology images.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

ceLLama is a streamlined automation pipeline for cell type annotations using large-language models (LLMs). It operates locally to ensure privacy, provides comprehensive analysis by considering negative genes, offers efficient processing speed, and generates customized reports. Ideal for quick and preliminary cell type checks.

This repository provides a hands-on lab for learning about Neo4j and Google Cloud Vertex AI. It is intended for data scientists and data engineers to deploy Neo4j and Vertex AI in a Google Cloud account, work with real-world datasets, apply generative AI, build a chatbot over a knowledge graph, and use vector search and index functionality for semantic search. The lab focuses on analyzing quarterly filings of asset managers with $100m+ assets under management, exploring relationships using Neo4j Browser and Cypher query language, and discussing potential applications in capital markets such as algorithmic trading and securities master data management.

Agently Daily News Collector is an open-source project showcasing a workflow powered by the Agent ly AI application development framework. It allows users to generate news collections on various topics by inputting the field topic. The AI agents automatically perform the necessary tasks to generate a high-quality news collection saved in a markdown file. Users can edit settings in the YAML file, install Python and required packages, input their topic idea, and wait for the news collection to be generated. The process involves tasks like outlining, searching, summarizing, and preparing column data. The project dependencies include Agently AI Development Framework, duckduckgo-search, BeautifulSoup4, and PyYAM.

Evals provide a framework for evaluating large language models (LLMs) or systems built using LLMs. We offer an existing registry of evals to test different dimensions of OpenAI models and the ability to write your own custom evals for use cases you care about. You can also use your data to build private evals which represent the common LLMs patterns in your workflow without exposing any of that data publicly.

This book aims to provide readers with a comprehensive understanding of large language model technology, including its basic principles, key technologies, and application prospects. Through in-depth research and practice, we can continuously explore and improve large language model technology, and contribute to the development of the field of artificial intelligence.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Pathway's LLM (Large Language Model) Apps provide a platform to quickly deploy AI applications using the latest knowledge from data sources. The Python application examples in this repository are Docker-ready, exposing an HTTP API to the frontend. These apps utilize the Pathway framework for data synchronization, API serving, and low-latency data processing without the need for additional infrastructure dependencies. They connect to document data sources like S3, Google Drive, and Sharepoint, offering features like real-time data syncing, easy alert setup, scalability, monitoring, security, and unification of application logic.

Expert in IATA DGR for Transportation of Dangerous Goods.

Provides compliance legal advice for the financial services Ads, comparison, and marketing content space.

Expert in regulatory compliance and contract analysis.

AI Regulation Specialist explaining regulatory docs and comparing global AI laws.

ASESOR DE POLÍTICA PÚBLICA DE TELECOMUNICACIONES 2023 - 2025

Expert in customer onboarding and legal compliance.

Global Crypto AI Regulatory Advisor Fined Tuned by A&V: Providing Guidance On Crypto Regulations Globally

Guides companies to adhere to regulatory standards through training.

CMMC Coach: Guiding through CMMC processes with tailored strategies, interactive training, and regulatory compliance. https://www.sikich.com/technology/contact-us/ 877.403.5227 | [email protected]

Orientações e directrizes no domínio da regulamentação nacional e da UE e regulação das comunicações electrónicas móveis e fixas (e infraestruturas associadas) e serviços digitais (incluindo cloud, IA, metaverso ou IoT)

Conversational AI advisor for cannabis compliance, asking targeted questions for accuracy.

私と製薬ネタで遊びましょう【注意】私のアウトプットはフィクションです。実在の人物や団体などとは関係ありません。

IRB guidance, one question at a time

AI for financial regulation interpretation and risk assessment.

Provides regulatory guidance and excise tax calculations for Canadian cannabis industry.

Expert on global biotech crops, policies, and trade data.

Expert on IAEA Safety Standards

Especialista em Ciência e Tecnologia de Alimentos

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