Anaconda Enterprise features and reviews of 2020
Anaconda Enterprise Machine Learning software enables organizations to automate AI at scale and speed.
Anaconda Enterprise Machine Learning software is an end-to-end data science platform that enables organizations to use machine learning and data science to develop differentiating solutions and make better decisions. This software allows data science teams to automate, establish, and supervise AI-driven data science models and pipelines within production networks and server clusters. Plus, users can access tools like RStudio, Clouders, SAML, Amazon Web Services, Microsoft Azure, Google Cloud, LDAP, Active Directory, Hortonworks, and Jupyter notebooks in this software with ease.
This software combines cloud-native architecture, AI technologies, and governance to allow businesses to automate Artificial Intelligence at scale. With its collaboration capabilities, users can use this software to share data science projects with their team members. This software automatically containerizes all data science projects to allow users to move them between environments with ease. Besides, the Anaconda Enterprise Machine Learning software enables users to perform real-time modifications seamlessly.
Businesses of all sizes can effectively develop and train models in a version and source-controlled environment. Anaconda Enterprise Machine Learning software offers all team members dashboards, machine learning models, online notebooks, and dependencies. Users can maintain enterprise security and protect their data by mirroring this software's repository onto their infrastructure. With an admin dashboard, users can screen packages, monitor utilization, control user access, and track project, packaging, and model deployment.
Financial services can leverage this software to improve their operations and customer experience using data science and machine learning. Manufacturing industries can use the Anaconda Enterprise Machine Learning software for quality control, demand forecasting, predictive maintenance, supply chain optimization, and root cause analysis. Organizations in the energy and utility industry can use this software to visualize complex geological data, predict the environmental impact of their operations, manage energy and demand response, and predict equipment failure and outages. Additionally, users in retails can optimize their supply chains using predictive analytics and sophisticated demand forecasting.
Anaconda Enterprise Machine Learning software integrates with different data sources and tools. This software provides users with an enterprise data science and machine learning platform that can adapt to the unique needs of their business. Data scientists can use the multiple tools this software offers to solve their different problems and respond to their customers' needs and the decision-makers of their organization. Plus, the Anaconda Enterprise Machine Learning software provides users with powerful open-source data science tools in a flexible platform that thrives in both air-gapped and cloud environments.
Anaconda Enterprise Machine Learning software allows users to automate the AI pipelines of their organization from laptops, training clusters to production clusters. This software enables users to automate undifferentiated tasks to enable organizations to train and deploy models rapidly at scale. Data scientists do not need to focus on software engineering and DevOps with this software. Besides, the Anaconda Enterprise Machine Learning software provides data scientists with collaborative tools required to deploy, connect, and share data science projects.
Anaconda Enterprise Machine Learning software enables users to develop, train, and deploy machine learning and deep learning models. Data scientists can use this software to build APIs to query and score their deployed ML models and offers users multiple same notebooks to help them with everyday repetitive tasks. Additionally, the Anaconda Enterprise Machine Learning software provides Kickstarts to team teams on how to create and deploy dashboards, implement projects, and integrate data sources.
Anaconda Enterprise Machine Learning software allows users to sidestep using DevOps as they can deploy models rapidly with one click. This software accelerates production and deployment time with pre-provisioned resources, and it deals with DNS configuration, centralized administration, and load balancing of deployed apps. Anaconda Enterprise Machine Learning software allows businesses to scale machine learning capabilities. Also, open-source software uses SSL and TLS encryption for data security.
Anaconda Enterprise Machine Learning software allows users to build and deploy deep learning models that use neural networks. This software integrates with tools like Keras and TensorFlow for the building and training of neural network models.
Users can scale use GPUs to scale their machine learning pipeline computations horizontally and vertically. This software enables users to quickly process and store data beyond the RAM of a single machine. During the development phase, the Anaconda Enterprise Machine Learning software allows users to speed up iteration cycles and parallelize algorithms.
Anaconda Enterprise Machine Learning software enables businesses to perform predictive analysis. Organizations can use this software to predict stock prices, customer churn, outage probabilities, maintenance needs, and consumer demand levels. Data science teams can visualize different data sets from manufacturing output to seismic activity. Plus, the Anaconda Enterprise Machine Learning software enables users to build and deploy dashboards they can send to their organizations' decision-makers with ease.
Anaconda Enterprise Machine Learning software enables users to leverage Python's ecosystem. Users can use this software to mitigate bias in data sets and models—this software integrates seamlessly with Python tools like InterpretML and LIME. Besides, users can use these tools to explain the decisions of black-box models and create glass-box models.
Anaconda Enterprise Machine Learning software offers businesses a scalable architecture that can distribute libraries and resources across server clusters. Users can scale this software up or down based on the nodes needed for distribution. This software allows users to handle different versions if browser-hosted notebooks and control the access. With the self-service deployment capability of this software, team members have control and flexibility over the implementation of AI-driven data science dashboards, notebooks, and models.
Anaconda Enterprise Machine Learning software's token-based system allows organizations to have control over data access. Companies can authorize team members that have access to their projects and resources. This software centralizes the management of access management with ease. Also, users can use their models and applications on the Anaconda Enterprise Machine Learning software without causing any harm to sensitive data.
Anaconda Enterprise Machine Learning software offers businesses of all sizes and industries a comprehensive platform for data science and machine learning. This software allows data scientists to develop and automate AI-driven data science models and pipelines. Organizations can use Anaconda Enterprise to scale and speed up their models.