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Google Cloud AI logo

Google Cloud AI

Fully managed, end-to-end platform for data science and machine learning Write a Review

Google Cloud AI helps to Build best-in-class ML models without writing any code with AutoML's easy-to-use UI, or using your own code written in Notebooks, a managed Jupyter Notebook service. Use the latest open-source deep learning frameworks on Deep Learning VM Image or Deep Learning Containers. Then train your models with our fully managed Training service.

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IBM Decision Optimization

Decision Optimization 4.5 Based on 29 Ratings

IBM Decision Optimization (CPLEX) is a family of prescriptive analytics products that combines mathematical and AI techniques to help address business decision-making. Organizations across industries are using IBM ILOG CPLEX Optimization Studio to drive operational efficiency and generate significant ROI by optimizing planning, scheduling, pricing and other business decisions. IBM has integrated optimization capabilities to the IBM Watson Studio platform to enable data science teams to capitalize on the power of analytics. It enables data science Teams to easily demonstrate business value of optimization by providing tools like visual dashboards.

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Google Cloud AI Hub

AI Hub  |  Google Cloud 4 Based on 1 Ratings

Discover, share, and deploy enterprise-grade AI with end-to-end AI pipelines and out-of-the-box algorithms from Google Cloud.

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Google Cloud AI Platform

AI Platform  |  Google Cloud 4.3 Based on 82 Ratings

A development platform to build AI apps that run on Google Cloud and on-premises. Take your ML projects to production, quickly, and cost-effectively.

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Machine Learning Platform for AI

Machine Learning Platform: Data Mining & Analysis 4.5 Based on 1 Ratings

Machine Learning Platform For AI provides end-to-end machine learning services.

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TensorFlow

Design Machine Learning Models 4.5 Based on 44 Ratings

TensorFlow is a powerful platform used for creating production-grade machine learning models. Data is the foundation of any successful machine learning project. Without high-quality, relevant data, even the most advanced models will fail to produce accurate results. This is why TensorFlow places a strong emphasis on data and provides tools to help manage and analyze it effectively. TensorFlow supports distributed training, allowing for faster model training by leveraging the power of multiple machines. Additionally, it allows for immediate model iteration, saving time and effort in the development process. The integration with Keras also makes it easy to debug and fine-tune models for optimal performance. Tools like Model Analysis and TensorBoard help track the development and improvement of models throughout their lifecycle. With TensorFlow's TFX framework and tooling, one can easily deploy full MLOps pipelines to ensure the models evolve and perform well over time. Its emphasis on data, support for distributed training and model iteration, and tools for tracking development and deployment make it a top choice for machine learning professionals.

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Cloudera Data Engineering

Data Engineering | Cloudera 4.5 Based on 1 Ratings

Cloudera Data Engineering streamlines and operationalizes data pipelines securely at any scale to increase efficiency and accelerate time to value.

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SAS Visual Data Mining and Machine Learning logo

SAS Visual Data Mining and Machine Learning

SAS Visual Data Mining and Machine Learning 2.5 Based on 1 Ratings

SAS Visual Data Mining and Machine Learning provides a single, integrated in-memory environment for solving your most complex problems faster.

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Anaconda Enterprise

A Single Platform for Enterprise Teams and Users Write a Review

Anaconda Enterprise is a powerful platform designed for professionals who use python for development. With Anaconda Enterprise, python users have the security and peace of mind needed to develop python applications with confidence. The platform is designed to be user friendly, featuring a simple interface and intuitive navigation. It offers users feature-rich capabilities such as environment and package management. Plus, with built-in security protocols, Anaconda Enterprise gives users the confidence that their code is secure and running on a secure system. Anaconda Enterprise also provides the tools development teams need to collaborate effectively. Through peer to peer code collaboration, robust code review processes, and automated code testing, teams can work together more efficiently and feel confident that their code is up to industry standards. Anaconda Enterprise is ideal for professionals looking to maximize their python development. The platform provides an efficient and secure development environment, as well as the tools needed to produce high-quality code. With Anaconda Enterprise, development teams can work together more effectively, with the confidence that their code is secure and up to industry standards.

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TIBCO Data Science

TIBCO® Data Science 3.8 Based on 40 Ratings

Data science is a team sport. Data scientists, citizen data scientists, data engineers, business users, and developers need flexible and extensible tools that promote collaboration...

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Open Text Magellan

OpenText Magellan | OpenText 4.5 Based on 2 Ratings

OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

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Infor Coleman

Infor Coleman | Artificial Intelligence Platform | Infor 4.5 Based on 1 Ratings

Infor Coleman represents our AI product suite comprised of natural language processing, machine learning, and automation-based solutions.

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Wipro Holmes logo

Wipro Holmes

Wipro HOLMES: Artificial Intelligence & Automation Platform 1 Based on 1 Ratings

Wipro HOLMES is an Artificial Intelligence Platform that provide services for the development of digital virtual agents.

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DataRobot logo

DataRobot

Enterprise AI Platform | DataRobot 4.4 Based on 11 Ratings

DataRobot automates the entire modeling lifecycle, enabling users to quickly and easily build highly accurate predictive models. Get more information here!

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C3 AI Suite

Model-Driven Architecture 4.5 Based on 1 Ratings

The C3 AI Application Platform uses a unique model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise AI applications. The C3 AI model-driven architecture provides an “abstraction layer,” that allows developers to build enterprise AI applications by using conceptual models of all the elements an application requires, instead of writing lengthy code.

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Domino logo

Domino

The Most Powerful Platform for Enterprise Data Science | Domino Data Lab 4.4 Based on 4 Ratings

Domino is the data science platform where models can be developed and delivered within an open technology platform with the tools, infrastructure, and languages you need.

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Lightning AI

Rapidly Train, Deploy, and Build AI with PyTorch Write a Review

Lightning AI is the new, industry-leading platform helping professionals in the machine learning space to build models and workflows for their projects quickly and efficiently. With Lightning AI, customer can develop testable ML workloads and user-facing apps in a fraction of time usually required: days instead of months! This revolutionary platform provides an intuitive way to bridge technologies together for ML lifecycle workflow management. Plus, it introduces APIs for devops tasks like data ingestion, preprocessing, version controls, resource provisioning & monitoring - taking project development to the new level of excellence. Lightning AI opens opportunities for digital product teams to create ML products with unprecedented speed and accuracy. Professionals working in various machine learning-related areas will benefit from this remarkable tool – building/publishing Lightning Apps with unlimited possibilities when it comes to training models and setting up experiment tracking facilities. If customer is looking for impeccable efficiency and reliability in ML projects – Lightning AI is here to deliver on these promises without compromising quality. Join other proud users today and level up the productivity – just explore all innovative features of Lightning AI!

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Comet

Build better ML models faster Write a Review

Manage and optimize the entire ML lifecycle, from experiment tracking to model production monitoring. Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Add a single line of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task.

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ADEPT

Useful General Intelligence Write a Review

Adept is an ML research and product lab that specializes in building general intelligence solutions by creating an environment where humans and machines can work together creatively. By allowing both humans and machines to collaborate, Adept's technology has helped to build reliable, intelligent solutions which could have an immense application in the real world. With years of expertise in the field and a strong technical ability, Adept knows the importance of staying ahead of the curve in terms of general intelligence development. The team has created technologies that provide users with access to higher-level thought process capabilities, allowing them to easily solve challenges they may face. Furthermore, Adept is dedicated to providing future-proof AI solutions that are designed for scalability so customers can rely on their long-term performance. Whether customer is looking for an AI system to help with customers business development or research capabilities, Adept provides comprehensive solutions that enable humans and machines to work together more efficiently than ever before.

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Infosys Nia

Building Innovative Intelligent Enterprise Software Products on RPA, AI and Banking 4.3 Based on 2 Ratings

EdgeVerve, a wholly-owned subsidiary of Infosys, offers enterprise software platforms and solutions on Robotic Process Automation (RPA), Artificial Intelligence (AI) and Banking.

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