![]() “We’re excited to join the SAS family and help shift customers to the cloud in a cost-effective yet powerful manner,” said Nikola Markovic, Boemska Chief Technology Officer. ![]() These advanced capabilities will be integrated with SAS Analytics software and available in app marketplaces to be easily integrated into use cases across virtually every industry. Drone devices to monitor distributed assets (e.g., power lines) and request maintenance.Īdditionally, the technology facilitates embedding cloud-native analytics in marketplace apps that use SAS in the background.Cameras mounted in factories to detect manufacturing defects and reduce waste.Wearables to send an alert for an impending medical event.These optimized SAS runtimes can be seamlessly integrated into SAS Event Stream Processing and our market-leading IoT solutions.įor example, the technology’s machine learning and advanced analytics can support: Boemska’s portable SAS runtime enables analytics “to be pushed out” where business value is achieved – at the point of the transaction, the medical scan, marketing offer or credit decision. With the inclusion of Boemska technology, SAS Viya can provide purpose-built, analytics-driven third-party application integration to speed decisions wherever needed. Boemska’s technology puts SAS closer to where decisions are made, and available in cloud marketplaces for applications developers.” Decisioning support in real time SAS is recognized as a leading provider of analytics for enterprise applications. “We have not only transformed the way in which we build and deliver software with recent SAS Viya updates and a cloud partnership with Microsoft, but also the speed and manner with which customers can achieve value. ![]() “SAS is on a journey to enable AI and analytics for everyone, everywhere,” said SAS Executive Vice President and Chief Technology Officer Bryan Harris. An enterprise workload management tool that facilitates migration of scale-out analytics to the cloud in a cost-efficient way while ensuring that analytic workloads on clouds such as Microsoft Azure remain right-sized and always optimized. This brings unparalleled visibility to SAS workloads running on shared multi-user environments and empowers customers to confidently execute their cloud migration strategy.A next-generation, cloud-native capability enabling portability of SAS and open-source models into mobile and enterprise applications. This enables development and execution of models and decisions using low-code and no-code technologies for performing specific tasks such as anticipating fraud, decision making related to a medical event, identifying a manufacturing defect and more.The primary Boemska product offerings that will be integrated into SAS Viya include: “Boemska enables customers to infuse world-class SAS analytics in third-party cloud applications, using purpose-built runtime containers that are designed for greater resiliency and portability across connected cloud environments, resulting in a small footprint runtime for analytics and models.” “The rapidly evolving analytics market requires continuous innovation from technology suppliers, particularly as businesses seek intelligent as-a-service solutions to accelerate successful migration to the cloud,” said Frankĭella Rosa, Research Director for SaaS and Cloud Software at IDC. The company is a well-established SAS technology partner whose global customers include SAS customers in financial services, health care and travel. The assets and operations of Boemska – a small, UK-based technology company with an R&D center in Serbia – will be integrated into SAS. Strategic expertise and leading innovation The acquisition further enhances SAS ® Viya ® – a cloud-native, advanced analytics platform – with a rich set of capabilities that boost SAS’ goal of supporting the entire analytics life cycle and facilitating customer migration to the cloud. SAS, the global leader in analytics, announced today the acquisition of Boemska, a privately held technology company specializing in low-code/no-code application deployment and analytic workload management for the SAS ® platform.
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