Artificial Intelligence (AI) has created a new paradigm for applications in the scientific and industrial domains, catalyzing the translation of data to actionable insights. According to PwC ‘s global study, AI will provide up to a 26% boost in GDP for local economies by 2030.
AI/ML requires enormous quantities of data that must be stored, transported, and processed during the training phase with an exponential need in terms of computing power. As the complexity of the Machine Learning (ML) model and its associated cost continue to grow substantially, dedicated high-performance AI infrastructures become crucial for enterprise competitiveness and future research breakthrough.
Building scalable AI applications requires resources, skills, and knowledge that go beyond just hardware or software. Data quality, strategy governance, design complexity, AI literacy, industrialization, scalability and digital security are the common obstacles, among others, encountered by a lot of enterprises and academic institutions. It is paramount to take a holistic approach to establish a clear roadmap before launching a large-scale AI project.
Atos ThinkAI – the 3A approach in Advising, Architecting and Accomplishing the AI journey!
Atos ThinkAI accompanies enterprises and researchers to contemplate, architect, build, and deliver scalable, energy-efficient high-performance AI solutions in weeks. As a savvy advisor, the Atos Center of Excellence in Advanced Computing (CoE AC) combines in-depth industry knowledge with data science proficiency to strategize a purposeful roadmap for your AI journey. By orchestrating best-of-breed hardware, software, and expertise in digital security, Atos supports enterprises and academics institutions to tackle the daunting complexity, accelerating your time to AI operationalization and industrialization at optimized cost.
- Advise: Neither the computing power nor the accuracy of AI models alone will guarantee success. Rather, it is their suitability and compatibility that together make it possible to achieve your objectives. Each enterprise or research institute has its specific computing goal and a different level of project maturity. As a starting point of our advisory approach, we would identify the goals, associated success criteria, as well as distinct constraints before contemplating a purposeful roadmap collaboratively. A problem statement sets the foundation of the project. The Atos CoE in Advanced Computing provides all the experts and specialists necessary for each step in your AI journey. Our domain experts are specialized by industry, capable of understanding and mastering the challenges and expectations of our clients and partners.
- Architect: In cultivating a partnership with trendsetters like Graphcore and Nvidia, Atos brings the best-fo-breed building blocks to deploy purposeful, industry-contextualized AI systems. Thanks to our in-house software assets like HPC Software Suites, Atos brings value-added software in accelerating AI development for specific industries and optimizing system uptime. With our digital security capabilities, Atos can provide AI computing platform products and services, as well as perform risk analysis on AI projects to identify potential threats.
- Accomplish: with field-proven experience for large-scale HPC, Atos has developed a set of best practices to ensure execution excellence. As a prime leader, our capabilities including designing, building and running large-scale, mission-critical solutions, leveraging our secure AI computing continuum portfolio. Scalability is a critical factor to ensure AI-powered simulation brings tangible business benefits to enterprises and scientific breakthroughs to academics. Atos accompanies our clients at each stage of their AI evolution.
By “Advising, Architecting, and Accomplishing”, Atos “ThinkAI” is empowering enterprises and researchers to reap the benefit of AI for their core business!
Global HPC-AI Business Operation, Atos