SAS Viya

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SAS Viya is a cloud platform that allows you to solve analytical problems, reducing the time between the initial analytical study and the final business result. SAS Viya is deployed both in the cloud and locally, supports multiple clouds, and can be scaled as an organization grows and its IT infrastructure evolves. Work results and models used on SAS Viya can also be subsequently moved from one cloud to another and reused.

2021

As part of the Clarion solution

On August 16, 2021, SAS, a representative in the field of analytics and artificial intelligence (AI), announced that it had entered into a partnership agreement with bioMerieux Inc., working in the field of solutions for diagnosing infectious diseases in vitro, to jointly solve the problems of using antibacterial drugs. Clarion's solution tracks bacteria resistance to drugs and with SAS Viya. Read more here.

SAS Studio Analyst и SAS Information Governance

On May 13, 2021, SAS introduced two products as part of the SAS Viya platform - SAS Studio Analyst and SAS Information Governance.

Analytics helps companies extract value from accumulated data. To optimize its effectiveness, it is important to correctly build data preparation and management processes that determine what gets to analytical models at the input and, ultimately, the result of analytics at all. Updated products as part of the SAS Viya platform allow companies to visually prepare data, as well as keep records of information assets in the cloud and on local sites. narrated by Alexey Pyatov, Head of Data Management at SAS Russia

According to the company, most analysts spend too much time preparing data, instead of building models and providing analytical conclusions to company leaders. Whether complex or simple, companies need products that provide flexibility and effectively transform data to make the right decisions. SAS announced two such products.

As analytics and artificial intelligence become more embedded in everyday life, companies already require data. Now available in SAS Viya, SAS Studio Analyst enables data professionals and analysts to use the self-service environment to accelerate the delivery of reliable analytics data. SAS Studio Analyst allows users to customize visual data transformation chains that can be reused and flexibly configured - including creating their own blocks and defining an interface for them. This helps you quickly launch analytics initiatives and organize the data you need.

SAS Studio Analyst

In a world where there are already a large number of sources of information, it is difficult for companies to cover all available data, determine the content of the data set and assess its suitability for analysis. And with the growing number of data sources, these problems are exacerbated, affecting the quality of analytical results. SAS Information Governance, also available now in SAS Viya, provides an intuitive data catalog and metadata finder for analysts, business users, and IT professionals to discover and manage data resources while regulating and protecting data. With this solution, data professionals can spend less time searching and organizing data and more time on real-world analysis.

Riverside County in Southern California relies on SAS analytics for the health and well-being of more than 2.5 million residents. The county has faced the challenge of consolidating large amounts of data from various sources. The goal is to meet the health care needs of citizens. The remedy is a health care system consisting of a large medical center, an inpatient psychiatric clinic and several clinics.

Riverside County partnered with SAS to develop a solution that combines the capabilities of preparation and, visualization of data as well as in-depth analytics. SAS Viya-based products allow the county to integrate health care and non-county medical data state hospitals jail, as well as behavioral health systems, social services and homeless information.

By connecting these databases, Riverside County now sees what health and social services a wide variety of populations receive and can also match the process and outcomes of treatment. This is facilitated by technology that can identify a person, even if the name, address or other personal parameters do not match in different databases.

The updated SAS Viya includes data management solutions - SAS Studio Analyst and SAS Information Governance and provides continuous deployment and update. Cloud-based software enables customers to effectively democratize analytics across their businesses while seamlessly managing analytics workloads and embedding analytics in a variety of operational applications to make the right decisions.

2020

As part of the portfolio of cloud solutions for retail and CPG

On August 25, 2020, the company SAS presented a portfolio of cloud solutions for retail and suppliers of CPG (consumer packaged goods, from English consumer goods -), available cloudy in the environment. Microsoft Azure The services included in it are designed to plan supply chains and optimize inventory based on consumer demand. In addition to the solution for analytical selection of substitute goods, the package includes Retail & CPG Cloud Analytics Quickstart SAS Viya, SAS Visual Forecasting,, SAS Intelligent Planning Suite SAS Intelligent Decisioning and SAS Visual and. Data Mining Machine Learning More. here

SAS Viya 4 announcement

June 22, 2020 SAS announced the version of the analytical platform SAS Viya 4. An updated version of SAS Viya 4 will be available at the end of 2020. The upcoming update reimagines the way analytical decisions are made, combining platform capabilities with flexibility and scalability. clouds This SAS Viya update is one of the results of SAS '1 billion investment AI in. dollars

SAS has announced a version of the SAS Viya 4 analytical platform. Photo: seleritysas.com.

Enterprises are implementing major changes to their cloud-based data technology and analytics. SAS Viya provides a flexible way to implement data processing and analytics workloads within a container and microservice-enabled architecture. Companies can separate analytics from the environment in which they operate to scale quickly and more flexibly meet decision-making needs. narrated by Dan Wesset, IDC vice president of analytics and data management

According to the company, SAS simplifies the integration of AI and machine learning into the decision-making process. Thanks to the rethought cloud architecture and the presence of interactive and software interfaces, users are not tied to the programming language, data storage and do not need special skills. Automated data preparation, machine learning (AutoML), and model deployment increase the performance of scarce data science professionals and enhance artificial intelligence capabilities for those with a broader skill set. The results are interpreted in easy-to-understand terms.

With an emphasis on APIs, SAS Viya 4 makes it easier for application developers to work together with data research teams and quickly respond to changing business needs.

SAS Viya 4 uses a Continuous Integration and Continuous Deployment (CI/CD) process that allows customers to select the time to update a product and align it with their work schedule. A container-based architecture managed by Kubernetes, provides portability to a variety of cloud environments, including the widespread Azure, Google, AWS, and OpenShift.

SAS Viya 4 simplifies the deployment of models, helping to overcome the critical "last mile" of analytics, and offers a centralized repository to monitor and manage the performance of all analytical models.

As AI and machine learning spread, SAS Viya 4 centralizes the management of all open source and SAS-written models, providing complete transparency and control over all modeling activities. The architecture of SAS Viya 4 allows it to develop simultaneously with the development of cloud technologies.

2019

As part of a solution to leverage analytics in a hybrid cloud

On December 23, 2019, it became known that SAS and Red Hat jointly created a solution for the efficient use of analytics in a hybrid cloud environment.

As part of the technology partnership, SAS provides its SAS Viya platform on the Red Hat OpenShift infrastructure.

The Red Hat OpenShift platform provides a solution for working with Kubernetes containers.

Thanks to it, companies can manage their IT infrastructure in a hybrid cloud. Using SAS analytics in the Red Hat OpenShift environment, they also get practical results quickly, while maintaining flexibility and control over the infrastructure to meet their needs.

By combining the flexibility and scalability of the SAS analytics platform with the portability of Red Hat OpenShift, digital transformation of companies can now move faster from the idea level to practical implementation. says Alexander Efimov, Director of Analytical and Industrial Solutions, SAS Russia/CIS

As part of this collaboration, SAS is creating an expertise center (OpenShift Center of Excellence) for joint development in terms of analytical load distribution methodology in Kubernetes and Red Hat OpenShift containers.

Automated data management and machine learning

On October 23, 2019, SAS announced the development of a number of additions and updates to the SAS Viya platform. It now contains features such as automated data management, automated machine learning, and advanced model interpretation features. This is done to make AI technologies more transparent and accessible to all users, the company emphasized.

The updated SAS Viya will be released in Q4 2019. The AI and in-depth capabilities included analysts will be available to both data specialists business users. SAS automates the entire analytics lifecycle - from data processing to object design to algorithms single-click selection. The added functions simplify and speed up the stages of preparing data and building machine learning models that previously took place in manual mode, required time and individual competencies from the user.

SAS monitors the latest developments and methodologies that allow you to assess the interpretability of machine learning models, and implements them into everyday practice. Many of these methodologies are already implemented in the SAS Viya platform and can be used. Now, even in the visual user interface of the SAS Visual Data Mining and Machine Learning application, there is a special section dedicated to the interpretability of models, - said Alexander Efimov, director of the directorate of analytical and industrial solutions. SAS Russia/CIS

SAS also continues to implement the open platform concept, where you can deploy any models and applications. A number of improvements in SAS Model Manager allow you to deploy open source AI models to SAS Viya.

SAS Viya for Learners announcement

On May 14, 2019, SAS introduced the SAS Viya for Learners program, allowing students and educators to use the AI-based SAS platform for free.

As part of the SAS Viya for Learners program, the company will provide a number of universities with free access to SAS Viya, an open analytics platform that can be deployed both in the cloud and locally, as well as scale as the organization grows and develops. In addition, part of the investment will go to organizing free seminars for teachers and educational materials.

As a result, teachers will have access to world practices and will be able to exchange experience, and students will learn to work with data, deploy models of artificial intelligence and machine learning, as well as gain practical experience in working with real business cases, SAS noted.

2017

Viya is an analytics and visualization platform that can work in a public or private cloud environment. This next-generation software, which debuted in April, is SAS's first real entry into the cloud and lays the foundation for its future business intelligence software.

To work with this platform, you can use not only your own SAS programming language, but also others, including Python, Luya and Java, as well as supported public RESTful APIs.

SAS is also reworking versions of some of its analytical applications so that they can run on the Viya platform, including SAS Visual Analytics, SAS Visual Statistics, SAS Visual Investigator, and SAS Visual Data Mining & Machine Learning.

2016