Artificial intelligence powered by High-Performance Computing can help a host of industries, from BFSI to retail, improve key business processes and metrics. Widely considered a strategic priority, 76 percent of respondents in a recent survey indicated that artificial intelligence is fundamental to the success of their operations strategy, while 64 percent cited the technology as fundamental to their organization’s long-term growth. At the same time, it’s expected that there will be 44 trillion gigabytes of data in existence by 2020. Combined, this creates a need for deep learning and inference capabilities, built on a foundation of high-performance computing (HPC) infrastructure, that can process this information, generate new, actionable insights and underpin key business and scientific advancements.
“Artificial intelligence is already having a profound impact on traditional business strategies and scientific research, and most senior leaders consider it a priority for the year ahead. To truly benefit from the vast amount of data available to organizations today, our customers must embrace AI as the vehicle to help them achieve success in today’s competitive business landscape,” said Kirk Skaugen, President, Lenovo Data Center Group. “With our newly opened, global artificial intelligence innovation centers and a comprehensive product and service portfolio we are committed to helping bring their artificial intelligence deployments to life.”
Enterprises want to leverage artificial intelligence but struggle with how to get started quickly and manage artificial intelligence projects efficiently. Lenovo LiCO (Lenovo Intelligent Computing Orchestration) can help.
- LiCO enables data scientists to train and manage AI jobs without coding.
- LiCO is a powerful management suite with an intuitive GUI that helps accelerate development of AI applications.
- LiCO performs distributed training tasks with optimal scaling efficiency.
- LiCO’s standard models and workflow templates save time for data scientists in extracting value from data quickly.
Lenovo helps enterprises adopt artificial intelligence quickly and smoothly with its High-Performance Computing (HPC) solutions. With over 100 data scientists and AI developers, Lenovo has the expertise to guide a customer through the entire artificial intelligence journey and we accomplish this through a three-step process to Discover, Develop and Deploy.
Lenovo and Its Customers Make Artificial Intelligence a Reality for Better Business and Societal Outcomes
North Carolina State University (NCSU) researchers, in partnership with Lenovo, is doubling down on this global challenge. Using an artificial intelligence-enabled geospatial image analysis process, NCSU applies deep learning algorithms to recognize farmland, identify the farm crops, monitor soil conditions and calculate water requirements against available water resources to create maps of drought areas. The same artificial intelligence techniques help local and global farmers to examine crop and soil health for efficiently managing water and energy resources in irrigation, improving their profitability while conserving scarce natural resources.
“We’re very pleased with the work we are doing around such a global issue like freshwater supply. As we look to leverage more advanced computational processes and deep learning methods, our existing infrastructure is no longer sufficient,” said Ranga Raju, Associate Professor in Geospatial Analytics, NCSU. “By partnering with Lenovo and its AI innovation center in Morrisville, we’ve not only gained access to infrastructure that has been optimized for machine learning workloads, but also a wealth of knowledge from Lenovo and its partners whose engineers and consultants are skilled in artificial intelligence.”
At University College London (UCL), researchers are reconstructing high-energy particle collision events from the ATLAS experiment at CERN’s Large Hadron Collider (LHC), the world’s largest and most powerful particle accelerator. This work is instrumental in addressing some of the most fundamental questions about the origins of the universe; however, the increasing intensity of collisions at the LHC challenges the traditional pattern recognition techniques, which would require unaffordable amounts of computational resources. Through collaboration with Lenovo, UCL researchers are aiming to apply artificial intelligence to reconstruct particle trajectories using imaging data from ATLAS much more efficiently than traditional methods. This approach not only streamlines the computational resources, but can also help UCL advance their research in reconstructing much more complex events.
Professor Nikos Konstantinidis, co-Director of the UCL Centre for Doctoral Training in Data Intensive Science and advisor of a Lenovo-supported PhD student, said “We are delighted that Lenovo are our partners in this exciting initiative. UCL has a long-standing tradition of excellence in data intensive science and a strong culture of cross-disciplinary research and collaboration between academia and industry. Bringing together the expertise from the Lenovo artificial intelligence team and the UCL academics and PhD students will accelerate the development and application of novel artificial intelligence techniques that promise to provide innovative solutions to major challenges, both in fundamental science like advancing particle physics at CERN’s Large Hadron Collider and in the industry.”
"The Lenovo solution we got is excellent. It got a fantastic cooling profile. It’s allowing us to reduce our cooling costs. And it’s a scalable system."
Lenovo Takes a Customer-Centric Approach to Artificial Intelligence
Building on Lenovo’s broader $1.2B investment in Artificial Intelligence R&D and initiatives, Lenovo’s Data Center Group is operating three new AI innovation centers in Morrisville, North Carolina; Stuttgart, Germany and Beijing, China, designed to help customers discover how Artificial Intelligence can help solve their biggest business or humanitarian challenges. Over 100 Lenovo data scientists and specialised Artificial Intelligence developers are already working to engineer AI-enabled solutions, such as patient image scanning to detect and classify tumors and assist doctors in diagnoses. Lenovo customers can access innovation center services remotely and have the opportunity to test and refine applications and workloads on a variety of systems optimised for high-performance. Additionally, they can join a diverse community of experts spanning partners and data scientists and other customers, to share insights and learning’s to help solve some of the world’s greatest challenges.
With much of Artificial Intelligence adoption relying on intelligence currently being developed, Lenovo has the expertise to help bring a customer’s Artificial Intelligence projects to fruition. Lenovo views a customer’s journey to augmented intelligence in a three-step process:
- Discover: Help discover the potential and benefits of Artificial Intelligence for a broad set of use cases
- Develop: Provide AI-optimized hardware and choice of Artificial Intelligence frameworks to accelerate development of AI applications
- Deploy: Rapid deployment with simplified end-to-end solutions and professional service expertise
“We believe that machines will not replace humans, but augment and aid our actions in every aspect of life, a vision which we call augmented intelligence. Working with AI is a complex undertaking. It requires significant processing power and a level of technical expertise and talent that’s often not readily available to our customers,” said Madhu Matta, vice president and general manager, AI and High-Performance Computing (HPC) Segment, Lenovo DCG. “We’ve created an end-to-end ecosystem that allows us to support our customers every step of the way as they explore AI strategies and unleash the power of augmented intelligence.”
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