Deploying real-time analytics projects at scale requires many steps, including data processing, model development, creation of a real-time process flow and deployment. This can be a tall order. Through the power of the end-to-end capabilities in SAS®, we've made this process simple and straightforward. We'll demonstrate using a project delivered in collaboration with ClearBlade, a SAS® partner. By entering just a few simple inputs, machine learning models are trained and deployed in real time to monitor energy output across all assets in the SAS solar farm. The ultra-agile approach retrieves data, builds comprehensive analytic datasets, trains models using a selected Model Studio pipeline, registers champion models to Model Manager, builds a real-time Event Stream Processing project and generates a deployable container that can be run in Docker or on a VM. Want to monitor the health of those models? Receive daily updates. Have a few minutes to attend? That's all you'll need to deploy world-class analytics in real time. ... View more

Do you want to move to SAS Studio and benefit from the latest data engineering and analytics capabilities as well as from a cloud-native platform? The path is clear and open. We provide an automated process for importing your SAS Enterprise Guide and SAS Data Integration Studio projects into SAS Studio. You just need to feed your assets to it either interactively in SAS Environment Manager or in batch using import CLI. It will pick up your process flows and/or data integration jobs and automatically convert them to SAS Studio Flows with the equivalent steps. There are already many steps supported for like-to-like migration, and the list is growing every month. In this session, you will discover how to approach and execute migration using a real-world example. You'll also get tips on how to go beyond that with the latest features in SAS Studio. ... View more

Create a data-driven SAS®9 to SAS Viya migration plan with SAS®9 content assessment and SAS Enterprise Session Monitor results. Using SAS®9 content assessment, a collection of applications designed to examine the characteristics of your SAS®9 system, and SAS Enterprise Session Monitor, an offering designed to collect real-time workload data, you'll know the facts to make sizing decisions for SAS Viya, including what you use and who is using it.   Presentation slides are attached. ... View more

Flooding is a common threat worldwide. Knowing what happens in case of such events can increase the chances of human survival and property protection. The team performed data connectivity, metadata discovery, data quality inference and data exploration on the data sources to better understand the main features associated with flooding events over time. We created several machine learning models to predict flooding events, compared them and published champion and challenger models. Flooding is all about mitigating and anticipating events to help people. In addition to the ML models to predict flooding events, we developed additional models to mitigate damage and help people. We developed an optimization model to identify the optimal flows to evacuate displaced people to public shelters based on their capacity and distance. We also developed an optimization model to find the optimal routes and trips to evacuate displaced people to the identified shelters based on the number of vehicles available and their capacity. The team created a forecasting model with autocorrelation analysis to identify a set of parameter estimates associated with variables that impact the likelihood of flooding events. A what-if analysis was created to simulate the impact of flooding events while changing the values of the significant variables. Finally, a regression model on referenced spatial data was developed to estimate possible locations within hurricane paths to prepare a set of mitigation actions to help people in danger. ... View more

Varying temperatures, a growing population and a changing energy landscape are driving electricity demand higher and higher. This puts more pressure on aging electric grids, causing brownouts, blackouts and forced electricity shortages at peak times and an increase in consumption costs. New technologies are critical to helping power producers and end users better manage, demand and facilitate a reliable electrical grid. This helps ensure consistent availability of electricity and mitigates negative effects of energy generation that can contribute to climate change. NEC’s “Insight-O-Meter” is a groundbreaking prediction tool that enables end users to take control of their energy use by providing data that can help reduce their energy footprint and save money. With electricity grids stressed to the max amid record summer heat levels or winter heating needs, NEC’s Insight-O-Meter addresses utility challenges holistically, developing technologies to overcome the challenges of a changing climate and grid. For utility providers, the benefit is multifold. The Insight-O-Meter's energy dashboard can compare energy consumption to generation, increasing the ability to adjust generation accordingly and help roll out a time-of-use plan. Insight-O-Meter similarly opens a new world for consumers. By providing key operational insights on their energy consumption through a digital channel, users can cut electricity costs and help ensure energy is reliable and dependable. ... View more

As part of the Data for Good initiative, a team of SAS volunteers has collaborated with the Center for Galapagos Studies at UNC-Chapel Hill to help researchers identify and protect the native sea turtle population. During the last 10 years, researchers have captured photographs of hundreds of turtles, generating over 33,000 images. Each turtle has its own unique set of facial scales that can be used to identify it. Researchers want to utilize computer vision to identify individual turtles to help create an animal health index to track growth rates, health threats and presence data to understand temporal and spatial movement patterns. ... View more

Learn how a SAS Hackathon team created a decision support system for managing floods in Jakarta based on near real-time IoT data capture and advanced predictive analysis. ... View more

Notilyze built an AI platform for a large cheese factory using SAS Viya. We collect, visualize and analyze all sensor and operator data in real time. We built the user interface using Microsoft technology and used SAS Studio flows, SAS Visual Analytics and SAS Visual Statistics, Model Studio, and SAS Intelligent Decisioning to optimize the manufacturing process. The operators and process technologists use the final solution to save time while significantly improving yields. We faced challenges with the large scale of the data, including 6,500 sensors and integrating SAS in the final product on a scalable infrastructure. This presentation shows the power of the full SAS Viya platform in developing AI for a specialized industry. ... View more

There are more than 27 million people in situations of forced labor worldwide on any given day. The international charity Hope for Justice and social enterprise Slave-Free Alliance strive for data-driven approaches to help organizations move toward slave-free operations and supply chains. By leveraging a suite of business intelligence, open source and advanced analytics, disparate data sources, such as PDF documents, can be mined for patterns to detect possible exploitation in difficult-to-track supply chains. Our team integrated Power Query and Python to extract and transform unstructured data and SAS® Visual Text Analytics on the SAS® Viya® platform to develop a deeper understanding of the data through natural language processing techniques. We discovered emerging textual themes and patterns through our text analytics life cycle approach. Our team used the prevalence of specific concepts and existing text-based knowledge to suggest commodities and industries with an increased risk of forced labor due to supply chain complexity and lack of oversight when products frequently changed hands. To convey our findings and maximize the range of capabilities the SAS ecosystem offers, we deployed an interactive dashboard to further explore forced labor based on country and commodity. We applied these insights to a risk assessment tool for organizations to mitigate or build resilience against modern-day slavery. ... View more

Governments and businesses all over the world make geographic data available for analysis. The amount of data available is growing year by year. In this presentation, you will learn how to master different types of spatial data with SAS Visual Analytics. Discover how to use special polygon and polyline data and how to apply advanced mapping techniques for better spatial data visualization and analytics. Explore how SAS Visual Analytics can be used to interact with geographical maps, how to apply advanced analytics to your spatial data, and how to customize map features for navigational routing and distance calculations. The presentation will cover advanced spatial use cases, from building and floor plan mapping and traffic monitoring to visualizing flood-level predictions. You will learn how each example converts basic location data into enriched, decision-supporting visuals backed by state-of-the-art AI and machine learning routines. Let's make spatial data accessible! ... View more

Are you new to SAS® Visual Analytics but not new to data visualization? In this SAS Explore presentation (slides are attached to this post), we helped SAS users hit the ground running and take advantage of automated features. We revealed the top five things to help you quickly transfer your skills and get the most out of SAS Visual Analytics. Report building best practices covered included:   Selecting the best object for your data based on recommendations from Edward Tufte – the godfather of data visualization. Working with multiple data sources. Creating new data items. Using container objects to design effective reports. Using report and page prompts for fast filtering. Leveraging automatic actions. Adding instructional text to describe content and report navigation. Designing and testing reports for viewing on a variety of devices and screen sizes. ... View more

PROC FCMP (aka, the SAS® function compiler) empowers SAS practitioners to build their own user-defined functions and subroutines, which are reusable software modules that containerize discrete functionality and extend the Base SAS programming language. This session, taught by the author of the 2023 SAS Press PROC FCMP book, explored five problem sets that user-defined functions can solve. Learn how to hide a hash object (and its complexity) inside a function, how to design a format (or informat) that calls a function and how to run a DATA step (or SAS procedure) inside a DATA step using RUN_MACRO! Software quality characteristics will also be showcased, including modularity, flexibility, configurability, reusability and maintainability, which are improved through the design and implementation of PROC FCMP user-defined functions.   Presentation slides are attached to this post. ... View more

SAS Viya as a Kubernetes-based architecture requires a thorough evaluation of the compute and storage components. For some customers, existing SAS 9.4 infrastructure might suffice, but for others, it might require adding more capacity and replacing existing infrastructure components. Over the years, AWS has significantly improved storage options from EBS - IO2 block express to FSx ZFS, each with its unique profile and workload applications. In this presentation, we reviewed these storage options along with best practices and recommendations for SAS Viya on AWS. This includes a combination of file systems and block devices for providing the optimum balance of price and performance.   Presentation slides are attached. ... View more

The main idea of in-database processing is to move the process to the data, regardless of where the data lives. With the rapid growth of cloud computing, companies are moving their data and computation to the cloud. SAS In-Database Technologies continues to evolve and has moved into the cloud. This presentation describes key SAS In-Database technologies that run on cloud platforms, such as SingleStore databases and Spark on Azure Synapse and Databricks. It explains the role of one of the main in-database technologies components: the SAS Embedded Process. Learn how to run a SAS Scoring Accelerator model on SingleStore using PROC SCOREACCEL and on Azure Synapse and Databricks using the SAS Scoring Accelerator Python and Scala API. ... View more

As organizations begin their journey into artificial intelligence (AI), ethics often enter the design process. Learn the key adoption trends in AI and how organizations have delivered on decision velocity through analytics, automation, and AI. Understand the key business outcomes for AI and what strategies will be needed for organizations to succeed in AI.  In addition, learn how to incorporate design points that will help facilitate the humanization of artificial intelligence and provide appropriate checks and balances for responsible AI. ... View more