SAS Analytics for IoT Integrations

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SAS Visual Statistics allows multiple users to interactively explore data and then create and refine predictive models. Your statisticians and data scientists can use the most appropriate analytical modeling techniques to analyze your observations at a fine level. What will you get? The result? You can quickly build and refine models to target specific segments or groups, and run multiple scenarios simultaneously. To get better results, you can ask more "what-if" questions. You can also use an automatically generated score code to put your results into practice. Multiple users can interact with data visually. They can add, change, or remove outliers. You can instantly see how changes affect the predictive power of your model and make adjustments quickly. Data science teams have the freedom to work in the language they prefer, so they can make the most of their talents. SAS Visual Statistics combines all analytical assets.

SAS®, Viya®, data science offerings offer a comprehensive, scalable analytical environment that is quick and easy to use, allowing you to meet diverse business requirements. Automatically generated insights allow you to identify the most commonly used variables across all models, the most significant variables selected across models, and assess results for all models. Natural language generation capabilities allow you to create project summaries in plain language. This makes it easy to interpret reports. Analytics team members can add project notes and comments to the insights report to facilitate communication between team members. SAS allows you to embed open source code into an analysis and call open-source algorithms seamlessly within its environment. This allows for collaboration within your organization as users can program in the language they prefer. SAS Deep Learning with Python (DLPy) is also available on GitHub.

The HPE Consumption Analytics Portal, which is the metering and analysis component of HPE GreenLake's consumption-based IT offering by HPE Pointnext Services, is now available. It gives you the flexibility and economics of the private cloud in your own datacenter. Interactive dashboards and drag-and-drop reports give you granular insight into your usage and costs. Flexible budgets and a rules-based recommendation engine to consume-based services will help you stay on top of IT spending. Forecast demand to avoid a shortage becoming an outage. With decision-making power, you can plan your capacity. The HPE Consumption Analytics Portal, part of HPE GreenLake provides even more transparency into your usage and commitments that determine your monthly cost. You will have more power to make informed decisions and plan your workload for maximum performance.

You can load your data into Hadoop or data lakes. Prepare it for visualizations, advanced analytics, reports and reporting - all from the data lakes. You can do it all yourself, fast and easily. It makes it easy to access, transform, and manage data stored in Hadoop/data lakes using a web-based interface. This reduces training requirements. It was designed from the ground up to manage large amounts of data in Hadoop and data lakes. It is not repurposed or adapted from existing IT-focused tools. You can group multiple directives together to run simultaneously, or one after another. The exposed Public API allows you to schedule and automate directives. Allows you to share or secure directives. These directives can be called from SAS Data Integration Studio. This combines technical and non-technical user activities. Included directives: casing, gender, pattern analysis, field extract, match-merge, cluster-survive. For better performance, profiling runs parallel on the Hadoop cluster.

Integrate master data management technologies into SAS 9.4. SAS MDM can be accessed via the SAS Data Management console. It provides a single, accurate, and unified view for corporate data by integrating data from multiple sources into one master record. SAS®, Data Remediation, and SAS(r] Task Manager can be used together with SAS MDM as well as other software offerings such as SAS® Data Management or SAS(r] Data Quality. SAS Data Remediation allows users to resolve issues that are triggered by business rules in SAS MDM batch job and real-time processes. SAS Task Manager is a complementing application that integrates with SAS Workflow technologies. It allows users direct access to a workflow that may have been initiated from another SAS app. Workflows that have been uploaded can be started, stopped, or transitioned.

A speaker recognition solution specifically designed for forensic professionals and powered exclusively by state-of the-art deep neural network technology enables you to perform fast and accurate language-independent forensic vocal analysis. An advanced speaker identification tool automatically analyzes the subject's voice and supports your forensic expert with accurate, impartial voice analysis. Phonexia Voice Inspector is able to identify a speaker in recordings of any language. An automatically generated report that contains all the details necessary to support the claim will allow you to present the results of your forensic vocal analysis to a court. Phonexia Voice Inspector is a unique tool that provides police officers and forensic specialists with a highly accurate speaker recognition system to support criminal investigations and provide evidence in court.

Excelero delivers low-latency distributed block storage for web-scale applications. NVMesh supports shared NVMe across any network. It also supports any local or remote file system. Intelligent management layers are included in the solution. They abstract the underlying hardware with CPU offload, create logical volumes with redundancy, provide centralized, intelligent monitoring and management. Applications can enjoy the latency and throughput of a local NVMe device, as well as the convenience of central storage. This avoids proprietary hardware lock-in and reduces overall storage TCO. NVMesh has a distributed block layer which allows unmodified applications access to pooled NVMe storage devices over a network at local speeds. The NVMesh block client can use distributed NVMe storage resources to create dynamic block volumes.

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Omnio is a startup that provides plug-and-play device integration for industrial IoT. Integration work is time-consuming and costly for industrial devices. This is no longer the case. Omnio allows you to connect any industrial device to an IoT application instantly. Get connected today. You should be focusing on your application and not device integration. You can stream unified data quickly using our pre-built connectors that are compatible with thousands of industrial devices. Omnio automatically normalizes all device data to create a unified data model that is ready for use. Our pre-built connectors make it easy to save time on device manuals, coding, and testing. We've done it all for your convenience. Omnio offers transparent SaaS pricing. This allows you to easily project the cost of device integration into your business cases for any scenario. Omnio's software automates the device integration process from source to destination and delivers unified data that your application can use immediately.

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