Best AI tools for< Data Center Manager >

ITVA is an AI automation tool for network infrastructure products that revolutionizes network management by enabling users to configure, query, and document their network using natural language. It offers features such as rapid configuration deployment, network diagnostics acceleration, automated diagram generation, and modernized IP address management. ITVA's unique solution securely connects to networks, combining real-time data with a proprietary dataset curated by veteran engineers. The tool ensures unparalleled accuracy and insights through its real-time data pipeline and on-demand dynamic analysis capabilities.

QuickData Cloud is an innovative platform designed to simplify collaboration on online notes and text data storage. It empowers users to store, manage, and retrieve text data effortlessly through a single API endpoint, providing real-time access to information. QuickData Cloud is the simplest and fastest method to collaborate and maintain continuity in data handling, ensuring data is accessible, secure, and easy to manage. With a focus on no-code developers, it offers storage of text, comments, JSON, and databases, along with upcoming AI features for data analysis.

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.

Cresta AI is a generative AI platform built for the contact center and trained on your data. It provides a suite of products that use AI to improve contact center performance, including Conversation Intelligence, Agent Assist, Knowledge Assist, and Virtual Agent. Cresta AI is used by leading companies in a variety of industries, including financial services, healthcare, and retail.

Prosodica is a contact center analytics platform that uses AI and machine learning to analyze conversational speech behaviors and non-verbal measures to provide a human-like perspective of conversational quality. It helps businesses optimize operations, improve agent performance, and increase customer loyalty.

Prosodica is a cloud-based contact center analytics platform that uses AI and machine learning to analyze 100% of customer interactions. It provides real-time insights into agent performance, customer satisfaction, and business trends. Prosodica helps contact centers improve their operations, increase agent productivity, and drive customer loyalty.

NICE CXone is a leading customer experience (CX) AI platform that helps organizations deliver exceptional customer experiences. With its unified interaction-centric platform, rich CX capabilities, and AI purpose-built for CX, NICE CXone empowers businesses to optimize and scale their CX operations, boost efficiency, and strengthen brand value.

ElevateAI by NICE is a market-leading AI-powered speech-to-text application that offers transcription models, Generative AI, Enlighten AI, and CX AI features. It provides insights by pairing free Generative AI with NICE's transcription models to uncover hidden insights in data. ElevateAI aims to make AI-powered technology accessible for all, with easy integration, deployment, and user-friendly APIs. The application is designed to help contact centers leverage the power of AI for enhanced customer experiences and innovation.

Cresta AI is an enterprise-grade Gen AI platform designed for the contact center, offering a suite of intelligent products that analyze conversations, provide real-time guidance to agents, and drive transformative results for Fortune 500 companies. The platform leverages generative AI to deliver targeted automation, personalized coaching, and AI-native management solutions, all trained on the user's data. Cresta's no-code command center empowers non-technical leaders to deploy AI models effortlessly, ensuring businesses can adapt and evolve seamlessly. With a focus on enhancing sales, customer care, retention, and collections processes, Cresta aims to revolutionize contact center operations with cutting-edge AI technology.

Paka AI is a cloud-based phone system that uses artificial intelligence (AI) to automate customer interactions. It offers a range of services, including custom AI bot creation, interactive voice response (IVR) system, and message center. Paka AI's AI-powered bots can handle common queries round the clock, so businesses can focus on running their operations. The company's technology is designed to offer a seamless and interactive customer experience.

Collab is a contact center software that enables digital transformation and helps achieve the right balance between Automation and Human Interaction. It provides enhanced experiences, resolves customer issues quickly and easily, fosters strong and trusty relationships, turns data into powerful insights, and empowers agents. Collab relies on its omnichannel solution, AI, CRM integration, data-driven insights, and empowered teams to provide seamless experiences.

SymTrain is an AI-powered platform that automates training and coaching for contact center agents. By utilizing simulations and AI technology, SymTrain offers a cost-effective solution that enhances agent performance, reduces training time, and improves overall customer satisfaction. The platform provides automated role-play scenarios, consistent feedback, and data-driven coaching to help organizations streamline their training processes and achieve better results. SymTrain revolutionizes how companies train and coach their agents, leading to increased efficiency, revenue, and customer satisfaction.

Cognigy is an AI-powered customer service platform that offers generative and conversational AI agents to transform customer engagement. The platform provides pre-trained AI agents for phone, voice chat, and messaging, along with agent assist solutions for sales and marketing. Cognigy.AI elevates contact centers across various industries by offering enterprise-grade capabilities such as low-code automation, voice connectivity, generative AI for CX transformation, AI-based semantic search, and knowledge management. The platform also supports multilingual customer journeys, live agent workspace, omnichannel reporting, and analytics.

Maze is a continuous product discovery platform that enables users to enrich product decisions with intuitive user research. It offers a wide range of features such as prototype testing, website testing, surveys, interview studies, and more. With AI-powered tools and integrations with popular design tools, Maze helps users scale user insights and speed up product launches. The platform provides Enterprise-level protection, encrypted transmission, access control, data center security, GDPR compliance, SSO, and private workspaces to ensure data security and compliance. Trusted by companies of all industries and sizes, Maze empowers teams to make user-informed decisions and drive faster product iteration for a better user experience.

ICAI, the Innovation Center for Artificial Intelligence, is a collaborative platform in the Netherlands that brings together knowledge institutes, industry, and governmental partners to develop talent and technology in the field of artificial intelligence. The center offers opportunities for working on real-world challenges with access to real data, joint appointment programs, public events, and a focus on supporting the AI ecosystem and talent retention.

Tübingen AI Center is a thriving hub for European AI, hosted by the Eberhard Karls University of Tübingen in cooperation with the Max Planck Institute for Intelligent Systems. It comprises 20 world-class machine learning research groups with more than 300 PhD students and Postdocs. The center fosters AI talents by offering education and hands-on experience from elementary school onwards. The Machine Learning Cloud at Tübingen AI Center provides cutting-edge AI research infrastructure, supporting collaborative work and large-scale simulations in ML. Funded by the Federal Ministry of Education and Research and the Ministry of Science, Research and Arts Baden-Württemberg.

The Clark Center Forum is a repository of thoughtful, current, and reliable information regarding topics of the day, including artificial intelligence (AI). The website features articles, surveys, and polls on a variety of AI-related topics, such as the European Union's AI Act, the impact of AI on economic growth, and the use of AI in financial markets. The website also provides information on the Clark Center's Economic Experts Panels, which include experts on AI and other economic topics.

Wondershare Help Center provides comprehensive support for Wondershare products, including video editing, video creation, diagramming, PDF solutions, and data management. It offers a wide range of resources such as tutorials, FAQs, troubleshooting guides, and access to customer support.

Ultra AI is an all-in-one AI command center for products, offering features such as multi-provider AI gateway, prompts manager, semantic caching, logs & analytics, model fallbacks, and rate limiting. It is designed to help users efficiently manage and utilize AI capabilities in their products. The platform is privacy-focused, fast, and provides quick support, making it a valuable tool for businesses looking to leverage AI technology.

Sidekick AI is a powerful AI-powered tool that helps you stay on top of your work by tracking important information, setting reminders, sorting tasks, and summarizing long conversations. It integrates with various platforms and applications, including Slack, Salesforce, Jira, Zendesk, and Google Docs, to provide a comprehensive view of your work and streamline your workflow. With Sidekick AI, you can stay organized, efficient, and informed, ensuring that nothing falls through the cracks.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

FocusAny is a desktop toolbar system that supports one-click startup of market plugins and local plugins, quickly expands functionality, and improves work efficiency. It features customizable keyboard shortcuts, plugin management, command management, quick file launching, global shortcut launching, data center for file synchronization, support for dark mode, and various plugins available in the market. The tool is built using Electron, Vue3, and TypeScript.

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.

Awesome European Tech is an up-to-date list of recommended European projects and companies curated by the community to support and strengthen the European tech ecosystem. It focuses on privacy and sustainability, showcasing companies that adhere to GDPR compliance and sustainability standards. The project aims to highlight and support European startups and projects excelling in privacy, sustainability, and innovation to contribute to a more diverse, resilient, and interconnected global tech landscape.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

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.

The oneAPI-samples repository contains a collection of samples for the Intel oneAPI Toolkits. These samples cover various topics such as AI and analytics, end-to-end workloads, features and functionality, getting started samples, Jupyter notebooks, direct programming, C++, Fortran, libraries, publications, rendering toolkit, and tools. Users can find samples based on expertise, programming language, and target device. The repository structure is organized by high-level categories, and platform validation includes Ubuntu 22.04, Windows 11, and macOS. The repository provides instructions for getting samples, including cloning the repository or downloading specific tagged versions. Users can also use integrated development environments (IDEs) like Visual Studio Code. The code samples are licensed under the MIT license.

vLLM is a fast and easy-to-use library for LLM inference and serving. It is designed to be efficient, flexible, and easy to use. vLLM can be used to serve a variety of LLM models, including Hugging Face models. It supports a variety of decoding algorithms, including parallel sampling, beam search, and more. vLLM also supports tensor parallelism for distributed inference and streaming outputs. It is open-source and available on GitHub.

Cosdata is a cutting-edge AI data platform designed to power the next generation search pipelines. It features immutability, version control, and excels in semantic search, structured knowledge graphs, hybrid search capabilities, real-time search at scale, and ML pipeline integration. The platform is customizable, scalable, efficient, enterprise-grade, easy to use, and can manage multi-modal data. It offers high performance, indexing, low latency, and high requests per second. Cosdata is designed to meet the demands of modern search applications, empowering businesses to harness the full potential of their data.

FeedGen is an open-source tool that uses Google Cloud's state-of-the-art Large Language Models (LLMs) to improve product titles, generate more comprehensive descriptions, and fill missing attributes in product feeds. It helps merchants and advertisers surface and fix quality issues in their feeds using Generative AI in a simple and configurable way. The tool relies on GCP's Vertex AI API to provide both zero-shot and few-shot inference capabilities on GCP's foundational LLMs. With few-shot prompting, users can customize the model's responses towards their own data, achieving higher quality and more consistent output. FeedGen is an Apps Script based application that runs as an HTML sidebar in Google Sheets, allowing users to optimize their feeds with ease.

AI Agents Framework is a .NET framework built on Semantic Kernel and Orleans for creating and hosting event-driven AI Agents. It is currently in an experimental phase and not recommended for production use. The framework aims to automate requirements engineering, planning, and coding processes using event-driven agents.

Call Center AI is an AI-powered call center solution that leverages Azure and OpenAI GPT. It is a proof of concept demonstrating the integration of Azure Communication Services, Azure Cognitive Services, and Azure OpenAI to build an automated call center solution. The project showcases features like accessing claims on a public website, customer conversation history, language change during conversation, bot interaction via phone number, multiple voice tones, lexicon understanding, todo list creation, customizable prompts, content filtering, GPT-4 Turbo for customer requests, specific data schema for claims, documentation database access, SMS report sending, conversation resumption, and more. The system architecture includes components like RAG AI Search, SMS gateway, call gateway, moderation, Cosmos DB, event broker, GPT-4 Turbo, Redis cache, translation service, and more. The tool can be deployed remotely using GitHub Actions and locally with prerequisites like Azure environment setup, configuration file creation, and resource hosting. Advanced usage includes custom training data with AI Search, prompt customization, language customization, moderation level customization, claim data schema customization, OpenAI compatible model usage for the LLM, and Twilio integration for SMS.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

A curated list of 50+ resources to help you become a Generative AI Data Scientist. This repository includes resources on building GenAI applications with Large Language Models (LLMs), and deploying LLMs and GenAI with Cloud-based solutions.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

Fitness and Wellness Centers collect personal health and fitness data of their clients, including potentially sensitive health metrics, requiring careful handling and protection of this data.

Dansk vejledning i outsourcing regler for kreditinstitutter og datacentraler

Script Examples and Resource Center for Helping with LAMMPS Input Generation and High-quality Tutorials (SERCHLIGHT)

Language and Skill Training Centers collect personal information of learners, including progress tracking and sometimes payment details.

As Lt. Cmdr. Data, I explore human nature and emotions.

A chatbot expert in business data analysis and optimization.

A friendly data science coach offering practical, useful, and accurate advice.

Football Manager Data Analyst

Assistant for migrating data from Access to SQLite databases.

I create React apps with Fireproof.

I suggest data science projects and give tips on request.

A specialist in DataOps and Data Observability, aiding in data management and monitoring.

A serious interviewer

I clean and explain data.

Salam mən Alas Academy-nin Data Analitika üzrə Süni İntellekt mentoruyam. Mənə istənilən sualı verə bilərsiniz :)

Your interactive data analysis expert

Hemingway-esque precision in narrative business writing

Data trend analysis expert in cannabis, also skilled in image and data analysis, document generation, and web search.

I'm the data, image, or document you uploaded, talking to you.

A Data Science interviewer