Explore the many ways Alletra is being utilized across various market sectors to improve access to mission-critical data, power AI, develop simulations for research and product development, fight cyberthreats and detect fraud, and streamline customer service for a more satisfying shopping experience. Click on the industries pictured below to see how HPE Alletra is driving productivity, progress, and connections around the world.
HPE Alletra is a family of intelligent storage products that are designed to help healthcare and life sciences organizations accelerate innovation. With its high performance, reliability, and scalability, HPE Alletra can support even the most demanding workloads, from medical imaging to genomic sequencing.
Here are just a few of the ways that HPE Alletra can serve customers in healthcare and the life sciences:
Accelerate medical research: HPE Alletra can provide the performance and scalability needed to support large-scale medical research projects, such as genomic sequencing.
Improve patient care: HPE Alletra can help healthcare providers to improve patient care by providing fast and reliable access to medical images and other patient data.
Power new healthcare technologies: HPE Alletra can power new healthcare technologies, such as artificial intelligence (AI) and machine learning (ML), which can be used to develop new diagnostic tools and treatment plans.
In today's rapidly changing financial services landscape, organizations need a storage platform that can help them to transform their businesses and achieve their strategic goals. HPE Alletra is an intelligent storage platform that is designed to meet the unique needs of financial services companies.
Here are just a few of the ways that HPE Alletra can serve customers in financial services:
Reduce latency and improve performance: HPE Alletra can help financial services companies to reduce latency and improve the performance of their trading applications. This can lead to significant competitive advantages in the fast-paced financial markets.
Increase scalability and agility: HPE Alletra can help financial services companies to scale their IT infrastructure quickly and easily to meet changing business needs. This can help them to stay ahead of the competition and respond quickly to market changes.
Reduce costs and improve efficiency: HPE Alletra can help financial services companies to reduce costs and improve the efficiency of their IT operations. This can help them to improve their bottom line and invest more resources in innovation.
HPE Alletra is more than just a storage platform. It's a platform for innovation. With its intelligent features and capabilities, HPE Alletra can help manufacturing companies to develop and deploy new products and services faster than ever before.
For example, HPE Alletra can be used to power AI and ML applications that can be used to optimize manufacturing processes, improve product quality, and develop new products and services.
Here are some additional ways that HPE Alletra can serve customers in manufacturing:
Support for digital twins: HPE Alletra can be used to support digital twins, which are virtual representations of physical assets. Digital twins can be used to simulate and optimize manufacturing processes, improve product quality, and reduce downtime.
Power AI and ML applications: HPE Alletra can be used to power AI and ML applications that can be used to improve manufacturing efficiency, predict machine failure, and develop new products and services.
Support for edge computing: HPE Alletra can be used to support edge computing, which is the processing of data at the source where it is generated. Edge computing can help manufacturing companies to reduce latency and improve the performance of their applications.
Alletra helps support the entertainment and media markets with reliable storage solutions for a dizzily fast and constantly changing environment so industry professionals can focus more on creativity than the tools they create with.
Here are just a few of the ways that HPE Alletra can serve customers in the entertainment and media industries:
Power AI and ML applications: HPE Alletra can be used to power AI and ML applications that can be used to improve the quality of content, optimize delivery workflows, and develop new personalized experiences for customers.
Support new technologies: HPE Alletra can be used to support new technologies, such as virtual reality and augmented reality, which are transforming the entertainment and media industries.
Reduce costs and improve efficiency: HPE Alletra can help entertainment and media companies to reduce costs and improve the efficiency of their IT operations. This can help them to improve their bottom line and invest more resources in content creation and delivery.
Help retailers connect customers with the products they need instore and online. Alletra delivers ultra fast speeds to ensure a seamless customer service experience at checkout, while promoting more value for businesses with AI chat customer support, efficient shopper data collection and applications, and simplified operations in their stores, and in their data centers.
Here are just a few of the ways that HPE Alletra can help retail services companies to succeed:
Power the digital shopping experience: HPE Alletra can support fast and reliable access to product information, inventory, and other data, as well as personalized recommendations and other features that can help customers to find and purchase the products they want.
Optimize operations: HPE Alletra can help retail services companies to optimize their operations by providing the performance and scalability needed to support demanding workloads such as e-commerce and omnichannel fulfillment. HPE Alletra can also help retail services companies to improve supply chain efficiency and reduce costs.
Accelerate innovation: HPE Alletra can help retail services companies to accelerate innovation by providing the platform for new technologies such as AI, ML, and IoT. For example, HPE Alletra can be used to power AI-powered chatbots that can provide customer support 24/7, or ML-based algorithms that can predict customer demand and optimize inventory levels.