Artificial intelligence is disrupting business processes, creating unlimited possibilities from improved customer experience and greater business efficiency to stronger data analysis. AI does this by presenting opportunities to turn insight into action: Processes become more streamlined with tasks completed faster and human error eliminated from workflows. But while there is confidence in AI approaches to processes, critical implementation gaps could negatively impact business success.
Companies need to advance AI capabilities with confidence, and to optimize these AI advancements from a business perspective. This involves making AI data ready and extending AI across the organization to solve common business problems and hurdles. During AI implementation, it matters how you store, prepare, manage, and access your data for AI applications. With greater confidence and efficient planning, businesses can unify data across hybrid cloud environments, optimize data types and sources, maintain consistency, and meet the challenges of data-intensive AI workloads.
Taking advantage of AI opportunities is key - for example, the importance of computer “vision” and using AI to interpret visual data. Organizations are unlocking the power of edge applications such as computer vision AI to accelerate and simplify business processes.
Finding the best infrastructure approach is essential when it comes down to building a solid data foundation and setting the stage for successful AI deployments. Flexibility and scalability are the core pillars behind a successful infrastructure. The combination of security, visibility and ease of management will set your business up for success.
Deploying AI at the edge means harnessing new insights faster, as it allows for faster decisions and improved customer experiences with accelerator-optimized compute, and up to four single-wide GPUs. These real time business insights help accelerate AI outcomes.
Finding ways to enhance business resilience and streamline operations with purpose-built edge computing provides the flexibility needed to power diverse and demanding workloads.
HPE ProLiant DL320 Gen11 with Intel® Xeon® Scalable Processor
HPE ProLiant DL320 Gen11 with Intel® Xeon® Scalable Processor protects infrastructure and workloads with a trusted edge‑to‑cloud security posture built on an HPE compute core. The flexibility helps power diverse and demanding workloads in a unique compact design, purpose-built for edge.
Deploying AI at the edge with HPE ProLiant DL320 Gen11 with Intel® Xeon® Scalable Processor empowers teams with a unified console across edge locations and an intuitive cloud operating experience. The server delivers top of class performance, with single processor efficiency and advanced acceleration of AI deployments – all in a secure and trustworthy environment.
Vision AI
Vision AI leverages AI algorithms and deep learning models to analyze digital images for meaningful information, based on a set of criteria. The top benefits of Vision AI include task automation, increased accuracy, enhanced safety and improved customer experience.
One place in which AI represents real value is in the retail industry, and HPE is positioned to help retailers meet evolving demands. With the global retail industry losing $61.7 billion annually, deploying the right technology is critical to success. Most infrastructures cannot support numerous video feeds, as well as the intensity of processing and analytics to deliver effective insights. Businesses today need access to advanced resources, and optimized AI architecture for innovation.
Vaidio AI Vision Platform by IronYun
The Vaidio AI Vision Platform from IronYun utilized advanced AI for active real-time monitoring, intelligent video search for incident investigation, and rich video metadata for business intelligence. IronYun’s new platform delivered more than 30 advanced AI-enabled video analytics, with the ability to monitor 1000s of cameras in real time and search 1000s of hours of footage in seconds.
AI at the edge is transforming the way businesses process data and enables intelligent decision-making in real-time. To keep pace with the competition, businesses must harness the potential of AI at the edge. It is clear that AI and edge computing are changing business, and those who invest in understanding and implementing these technologies will have a significant market advantage. With the increasing demand for faster and more efficient computing, the future of technology is at the edge.
For more information, visit hpe.com/ProLiant/AI.
