Key players insights
Hewlett Packard Enterprise (NYSE: HPE) is the global edge-to-cloud platform as-a-service company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions, with a consistent experience across all clouds and edges, to help customers develop new business models, engage in new ways, and increase operational performance.
Intel (Nasdaq: INTC) is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better
With 30+ years of continued industry leadership, Intel and HPE are delivering cloud-smart solutions with flexibility engineered for the edge. Both companies offer a depth of experience to address today’s challenges, such as data growth outside the data center, managing multiple clouds, and securing distributed environments.
Together, they deliver a leading portfolio of optimized AI solutions that transform business and industry, under a use case and pragmatic approach.
Key differentiated solutions, in different verticals (healthcare, manufacturing,…) or to address specific needs (fraud management, …. ) will be presented through demos and workshops at World AI Cannes Festival. We’ll also be pleased to welcome one of our start-up showcasing great innovations. Come and meet us on booth A24 !
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HPE AI makes the artificial intelligence of tomorrow
When your data is universally accessible, your AI teams are focused on development and deployment, and your IT infrastructure is flexible and unbounded. HPE makes artificial intelligence (AI) that is data-driven, production-oriented and cloud-enabled, available anytime, anywhere and at any scale.
Dive deep into the current applications of AI and learn more about its potential across several industries and use cases.
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HPE EZMERAL ML OPS
An ML Ops solution that lets you build, train and deploy models with DevOps-like speed and agility to operationalize the machine learning lifecycle and accelerate your workloads.
OPERATIONALIZE MACHINE LEARNING AT ENTERPRISE SCALE
HPE Ezmeral ML Ops standardizes processes and provides pre-packaged tools to build, train, deploy and monitor machine learning workflows, giving you DevOps-like speed and agility at every stage of the ML lifecycle.
OPERATIONALIZE MACHINE LEARNING AT ENTERPRISE SCALE
HPE Ezmeral ML Ops standardizes processes and provides pre-packaged tools to build, train, deploy and monitor machine learning workflows, giving you DevOps-like speed and agility at every stage of the ML lifecycle.
New research explains why some AI projects succeed while others never get off the ground
How enterprises are learning to get the most of AI/ML.
Artificial intelligence seems to be a fickle technology. Why do some businesses succeed while others struggle to realize value from AI and machine learning? And how does technology investment impact a successful AI strategy? Hewlett Packard Enterprise recently commissioned Emerald Research Group to find out the answers.
How enterprises are learning to get the most of AI/ML.
Artificial intelligence seems to be a fickle technology. Why do some businesses succeed while others struggle to realize value from AI and machine learning? And how does technology investment impact a successful AI strategy? Hewlett Packard Enterprise recently commissioned Emerald Research Group to find out the answers.
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HPE GreenLake for Machine Learning
Accelerate time-to-value for AI and machine learning
Organizations in every industry are looking to leverage artificial intelligence (AI) and machine learning (ML) to harness the power of their data and deliver business innovation through data science. But even when they achieve some measure of success with machine learning pilot programs, many organizations face challenges when they seek to scale these programs to production: security concerns, legacy hardware, siloed data and workflows, inefficient processes, and daunting costs.
Get the HPE GreenLake edge-to-cloud platform experience for your ML and data science workload
To deliver the value of ML and data science to your enterprise, the HPE GreenLake platform delivers an enterprise-grade ML cloud service that enables developers and data scientists to rapidly build, train, and deploy ML models—from pilot to production, at any scale. This preconfigured solution comprises an optimized hardware stack and is powered by HPE Ezmeral ML Ops. It provides data scientists with self-service access to a sandbox environment for prototyping and testing, to eliminate IT provisioning delays, ensure repeatability, and accelerate time-to-value. And as a fully managed solution, HPE GreenLake offering frees IT from routine infrastructure management tasks.
To deliver the value of ML and data science to your enterprise, the HPE GreenLake platform delivers an enterprise-grade ML cloud service that enables developers and data scientists to rapidly build, train, and deploy ML models—from pilot to production, at any scale. This preconfigured solution comprises an optimized hardware stack and is powered by HPE Ezmeral ML Ops. It provides data scientists with self-service access to a sandbox environment for prototyping and testing, to eliminate IT provisioning delays, ensure repeatability, and accelerate time-to-value. And as a fully managed solution, HPE GreenLake offering frees IT from routine infrastructure management tasks.
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HPE Machine Learning Development Environment
HPE expands AI at-scale portfolio with addition of Pachyderm
HPE unlocks AI-at-scale opportunities for its customers by bringing together its leading supercomputing technologies that are foundational for optimized AI infrastructure, and the HPE Machine Learning Development Environment, a machine-learning software that enables users to rapidly develop, iterate, and scale high-quality models from proof-of-concept to production. The combined solution already helps users train more accurate AI models faster, and at scale, on several of the world’s fastest supercomputers that have been purpose-built for demanding AI workloads.
HPE unlocks AI-at-scale opportunities for its customers by bringing together its leading supercomputing technologies that are foundational for optimized AI infrastructure, and the HPE Machine Learning Development Environment, a machine-learning software that enables users to rapidly develop, iterate, and scale high-quality models from proof-of-concept to production. The combined solution already helps users train more accurate AI models faster, and at scale, on several of the world’s fastest supercomputers that have been purpose-built for demanding AI workloads.
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HPE France Start-up program
