Data Science and Machine Learning Platforms

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.

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.

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

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.

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

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.

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

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.

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...

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

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

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

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

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

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.

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.

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!

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.

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

The Pyramid Decision Intelligence Platform is a one-stop solution for data prep, data science, and business analytics. It is designed to provide an intuitive, frictionless experience that simplifies the analytics stack and lowers the total cost of ownership. The platform provides users with direct access to multiple data sources across their environment, enabling them to analyze data of any format, including tables, grids, and custom visuals. It also features AI-driven insights and context menus that provide point-and-click train of thought analysis. Additionally, the platform offers a direct query engine that provides lightning-fast performance and makes it easy to connect to relational, OLAP, data lakes, and files of any format. By leveraging machine learning capabilities, users can spot trends and build what-if scenarios to gain better insights. Finally, interactive dashboards can be used to answer evolving business questions and data can be shared via email or browser or embedded in portals.