Commercial advantage through the creative power of generative AI
Generative AI is a new science that can create new content, ideas, and insights to bring a new dimension to productivity, creativity, and innovation for businesses of all shapes and sizes. Its rapid growth and immense potential have led to a surge in adoption by many of the world's most forward-thinking organizations. According to Goldman Sachs Research, the technology could drive a 7% (or almost $7 trillion) increase in global GDP and lift productivity growth by 1.5 percentage points over a 10-year period1.
Generative AI offers remarkable benefits, including streamlined content creation, personalized customer experiences, efficient data augmentation for training models, novel product design, and accelerated innovation. By automating creative processes, enhancing decision-making, and expanding possibilities, generative AI unlocks competitiveness and growth across a diverse range of industries, including:
- Supply chain optimization
Optimization in supply chain management by forecasting demand, predicting inventory needs, and identifying efficient distribution and logistics strategies. - Creative design and innovation
Industries like fashion and automotive can create unique designs, prototypes, and styles at speed, leading to revolutionary products and services. - Enhancing customer service
Natural language generation models can automate customer service responses, chatbot interactions, and report generation. - Image and video synthesis
In advertising, entertainment, and gaming, generative AI can synthesize realistic images and videos, create lifelike characters, and generate immersive virtual environments. - Anomaly detection and cybersecurity
Organizations can utilize generative AI for anomaly detection, spotting unusual patterns in data that may indicate security breaches, fraudulent activities, or equipment malfunctions. - Drug discovery and molecular design
In the pharmaceutical and biotech industries, generative AI aids in drug discovery by generating novel molecular structures with desired properties, potentially accelerating medication development. - Virtual prototyping and simulation
Manufacturing and engineering industries can use generative AI to create virtual prototypes and conduct simulations for product testing and optimization, saving time and resources. - Content creation and personalization
Enabling personalization for content creation, such as tailored product recommendations, customized marketing campaigns, and dynamically generated articles and videos.
Before customers can access these benefits, they must first overcome a host of challenges. For instance, customers need a straightforward way to find and access high-performing foundation models that give outstanding results and are best-suited for their purposes. Customers also want integration into applications to be seamless, without having to manage huge clusters of infrastructures or incur large costs. Finally, customers want it to be easier to take the base foundation models and build differentiated apps using their own data. Since the data customers targeted for customization is perceived as valuable IP, they need it to stay completely protected, secure, and private during that process, and they want control over how their data is shared and used.
It’s a challenge that Atos is uniquely capable of solving. Together with AWS we have helped enterprises migrate thousands of workloads to the cloud. Now, recognizing the need for a standardized, low-friction cloud migration process, we have joined forces with AWS to create CloudCatalyst, a new collaboration designed to help companies with large-scale infrastructure investments to migrate their critical systems and workloads to cloud.
With Atos’ support, our customers can reduce the obstacles to migration – such as existing contracts – and complete their move to the cloud earlier than expected. They can also expect to experience transformation benefits almost immediately – and one of the exciting new technologies we enable is generative AI. With access to a state-of-the-art cloud computing infrastructure and immense computational power, our customers can push the boundaries of traditional generative models, to open new capabilities and possibilities – from generating hyper-realistic images, to powering rapid prototyping and testing, to achieving limitless creativity.
At the heart of this lies our collaboration with AWS, with the purpose of helping customers migrate to cloud and fully harness its capabilities for applications like generative AI, where we are co-creating solutions for our customers leveraging the new AWS Bedrock AI platform, AWS Foundation Models, and partnerships with some of the leading Large Language Models (LLMs) in the industry.
Together, Atos and AWS offer a comprehensive range of AI services, to simplify the integration of AI capabilities into applications. This includes services like Amazon Bedrock (a secure, multi-language, customizable API-based access to a suite of foundation AI models), AWS Inferentia powered by AWS Trainium (offering cost-effective compute for training models), Amazon CodeWhisperer (AI-based code secure generation for accelerated software development), SageMaker JumpStart (a machine learning hub with access to foundational models, built-in algorithms, and pre-built models for ease of deployment), that all empower customers to build and deploy AI models effortlessly. By distributing training jobs across multiple instances, the time required to fine-tune models is significantly reduced, bringing creators closer to realizing their visions.
Atos also provides continuous service and support, as well as training for your own staff – a powerful incentive for them to stay on beyond migration.
Integrating generative AI into functional processes and IT operations
Atos’ relationship with AWS is based on years of successful cloud migrations for major customers across consumer goods, ecommerce, technology, banking, government, and more. Atos has been an AWS GSI Advanced Consulting Partner since 2013, holds the Migration Delivery Competency, and our AWS certified experts have over 1,000 certifications.
With CloudCatalyst, cutting-edge deployment options like serverless architectures and containerization enable smooth and scalable access to generative AI models on-demand. This, coupled with our approach of continuous development, maintenance, and automatic updates, ensures that processes will continue to evolve in tandem with emerging technologies.
Generative AI is poised to shape the future and change the world, impacting your industry, market, and experience. CloudCatalyst empowers visionary customers with computational power, data storage, and a collaborative ecosystem, driving creativity and commercial advantage. Unlock the full potential of AI-driven innovation for your organization with CloudCatalyst.
This article features contributions from:
Brooks Bocherding, Atos: Head of AWS practice
Eric Terrell, Atos: Head of Technology, AWS Practice
Jason Perry, AWS: Solution Architect
Vladimir Baranek, AWS: Global Enterprise Transformation Leader
Generative AI offers remarkable benefits, including streamlined content creation, personalized customer experiences, efficient data augmentation for training models, novel product design, and accelerated innovation. By automating creative processes, enhancing decision-making, and expanding possibilities, generative AI unlocks competitiveness and growth across a diverse range of industries, including:
- Supply chain optimization
Optimization in supply chain management by forecasting demand, predicting inventory needs, and identifying efficient distribution and logistics strategies. - Creative design and innovation
Industries like fashion and automotive can create unique designs, prototypes, and styles at speed, leading to revolutionary products and services. - Enhancing customer service
Natural language generation models can automate customer service responses, chatbot interactions, and report generation. - Image and video synthesis
In advertising, entertainment, and gaming, generative AI can synthesize realistic images and videos, create lifelike characters, and generate immersive virtual environments. - Anomaly detection and cybersecurity
Organizations can utilize generative AI for anomaly detection, spotting unusual patterns in data that may indicate security breaches, fraudulent activities, or equipment malfunctions. - Drug discovery and molecular design
In the pharmaceutical and biotech industries, generative AI aids in drug discovery by generating novel molecular structures with desired properties, potentially accelerating medication development. - Virtual prototyping and simulation
Manufacturing and engineering industries can use generative AI to create virtual prototypes and conduct simulations for product testing and optimization, saving time and resources. - Content creation and personalization
Enabling personalization for content creation, such as tailored product recommendations, customized marketing campaigns, and dynamically generated articles and videos.
Before customers can access these benefits, they must first overcome a host of challenges. For instance, customers need a straightforward way to find and access high-performing foundation models that give outstanding results and are best-suited for their purposes. Customers also want integration into applications to be seamless, without having to manage huge clusters of infrastructures or incur large costs. Finally, customers want it to be easier to take the base foundation models and build differentiated apps using their own data. Since the data customers targeted for customization is perceived as valuable IP, they need it to stay completely protected, secure, and private during that process, and they want control over how their data is shared and used.
It’s a challenge that Atos is uniquely capable of solving. Together with AWS we have helped enterprises migrate thousands of workloads to the cloud. Now, recognizing the need for a standardized, low-friction cloud migration process, we have joined forces with AWS to create CloudCatalyst, a new collaboration designed to help companies with large-scale infrastructure investments to migrate their critical systems and workloads to cloud.
With Atos’ support, our customers can reduce the obstacles to migration – such as existing contracts – and complete their move to the cloud earlier than expected. They can also expect to experience transformation benefits almost immediately – and one of the exciting new technologies we enable is generative AI. With access to a state-of-the-art cloud computing infrastructure and immense computational power, our customers can push the boundaries of traditional generative models, to open new capabilities and possibilities – from generating hyper-realistic images, to powering rapid prototyping and testing, to achieving limitless creativity.
At the heart of this lies our collaboration with AWS, with the purpose of helping customers migrate to cloud and fully harness its capabilities for applications like generative AI, where we are co-creating solutions for our customers leveraging the new AWS Bedrock AI platform, AWS Foundation Models, and partnerships with some of the leading Large Language Models (LLMs) in the industry.
Together, Atos and AWS offer a comprehensive range of AI services, to simplify the integration of AI capabilities into applications. This includes services like Amazon Bedrock (a secure, multi-language, customizable API-based access to a suite of foundation AI models), AWS Inferentia powered by AWS Trainium (offering cost-effective compute for training models), Amazon CodeWhisperer (AI-based code secure generation for accelerated software development), SageMaker JumpStart (a machine learning hub with access to foundational models, built-in algorithms, and pre-built models for ease of deployment), that all empower customers to build and deploy AI models effortlessly. By distributing training jobs across multiple instances, the time required to fine-tune models is significantly reduced, bringing creators closer to realizing their visions.
Atos also provides continuous service and support, as well as training for your own staff – a powerful incentive for them to stay on beyond migration.
Integrating generative AI into functional processes and IT operations
Atos’ relationship with AWS is based on years of successful cloud migrations for major customers across consumer goods, ecommerce, technology, banking, government, and more. Atos has been an AWS GSI Advanced Consulting Partner since 2013, holds the Migration Delivery Competency, and our AWS certified experts have over 1,000 certifications.
With CloudCatalyst, cutting-edge deployment options like serverless architectures and containerization enable smooth and scalable access to generative AI models on-demand. This, coupled with our approach of continuous development, maintenance, and automatic updates, ensures that processes will continue to evolve in tandem with emerging technologies.
Generative AI is poised to shape the future and change the world, impacting your industry, market, and experience. CloudCatalyst empowers visionary customers with computational power, data storage, and a collaborative ecosystem, driving creativity and commercial advantage. Unlock the full potential of AI-driven innovation for your organization with CloudCatalyst.
This article features contributions from:
Brooks Bocherding, Atos: Head of AWS practice
Eric Terrell, Atos: Head of Technology, AWS Practice
Jason Perry, AWS: Solution Architect
Vladimir Baranek, AWS: Global Enterprise Transformation Leader
Generative AI offers remarkable benefits, including streamlined content creation, personalized customer experiences, efficient data augmentation for training models, novel product design, and accelerated innovation. By automating creative processes, enhancing decision-making, and expanding possibilities, generative AI unlocks competitiveness and growth across a diverse range of industries, including:
- Supply chain optimization
Optimization in supply chain management by forecasting demand, predicting inventory needs, and identifying efficient distribution and logistics strategies. - Creative design and innovation
Industries like fashion and automotive can create unique designs, prototypes, and styles at speed, leading to revolutionary products and services. - Enhancing customer service
Natural language generation models can automate customer service responses, chatbot interactions, and report generation. - Image and video synthesis
In advertising, entertainment, and gaming, generative AI can synthesize realistic images and videos, create lifelike characters, and generate immersive virtual environments. - Anomaly detection and cybersecurity
Organizations can utilize generative AI for anomaly detection, spotting unusual patterns in data that may indicate security breaches, fraudulent activities, or equipment malfunctions. - Drug discovery and molecular design
In the pharmaceutical and biotech industries, generative AI aids in drug discovery by generating novel molecular structures with desired properties, potentially accelerating medication development. - Virtual prototyping and simulation
Manufacturing and engineering industries can use generative AI to create virtual prototypes and conduct simulations for product testing and optimization, saving time and resources. - Content creation and personalization
Enabling personalization for content creation, such as tailored product recommendations, customized marketing campaigns, and dynamically generated articles and videos.
Before customers can access these benefits, they must first overcome a host of challenges. For instance, customers need a straightforward way to find and access high-performing foundation models that give outstanding results and are best-suited for their purposes. Customers also want integration into applications to be seamless, without having to manage huge clusters of infrastructures or incur large costs. Finally, customers want it to be easier to take the base foundation models and build differentiated apps using their own data. Since the data customers targeted for customization is perceived as valuable IP, they need it to stay completely protected, secure, and private during that process, and they want control over how their data is shared and used.
It’s a challenge that Atos is uniquely capable of solving. Together with AWS we have helped enterprises migrate thousands of workloads to the cloud. Now, recognizing the need for a standardized, low-friction cloud migration process, we have joined forces with AWS to create CloudCatalyst, a new collaboration designed to help companies with large-scale infrastructure investments to migrate their critical systems and workloads to cloud.
With Atos’ support, our customers can reduce the obstacles to migration – such as existing contracts – and complete their move to the cloud earlier than expected. They can also expect to experience transformation benefits almost immediately – and one of the exciting new technologies we enable is generative AI. With access to a state-of-the-art cloud computing infrastructure and immense computational power, our customers can push the boundaries of traditional generative models, to open new capabilities and possibilities – from generating hyper-realistic images, to powering rapid prototyping and testing, to achieving limitless creativity.
At the heart of this lies our collaboration with AWS, with the purpose of helping customers migrate to cloud and fully harness its capabilities for applications like generative AI, where we are co-creating solutions for our customers leveraging the new AWS Bedrock AI platform, AWS Foundation Models, and partnerships with some of the leading Large Language Models (LLMs) in the industry.
Together, Atos and AWS offer a comprehensive range of AI services, to simplify the integration of AI capabilities into applications. This includes services like Amazon Bedrock (a secure, multi-language, customizable API-based access to a suite of foundation AI models), AWS Inferentia powered by AWS Trainium (offering cost-effective compute for training models), Amazon CodeWhisperer (AI-based code secure generation for accelerated software development), SageMaker JumpStart (a machine learning hub with access to foundational models, built-in algorithms, and pre-built models for ease of deployment), that all empower customers to build and deploy AI models effortlessly. By distributing training jobs across multiple instances, the time required to fine-tune models is significantly reduced, bringing creators closer to realizing their visions.
Atos also provides continuous service and support, as well as training for your own staff – a powerful incentive for them to stay on beyond migration.
Integrating generative AI into functional processes and IT operations
Atos’ relationship with AWS is based on years of successful cloud migrations for major customers across consumer goods, ecommerce, technology, banking, government, and more. Atos has been an AWS GSI Advanced Consulting Partner since 2013, holds the Migration Delivery Competency, and our AWS certified experts have over 1,000 certifications.
With CloudCatalyst, cutting-edge deployment options like serverless architectures and containerization enable smooth and scalable access to generative AI models on-demand. This, coupled with our approach of continuous development, maintenance, and automatic updates, ensures that processes will continue to evolve in tandem with emerging technologies.
Generative AI is poised to shape the future and change the world, impacting your industry, market, and experience. CloudCatalyst empowers visionary customers with computational power, data storage, and a collaborative ecosystem, driving creativity and commercial advantage. Unlock the full potential of AI-driven innovation for your organization with CloudCatalyst.
This article features contributions from:
Brooks Bocherding, Atos: Head of AWS practice
Eric Terrell, Atos: Head of Technology, AWS Practice
Jason Perry, AWS: Solution Architect
Vladimir Baranek, AWS: Global Enterprise Transformation Leader
Generative AI offers remarkable benefits, including streamlined content creation, personalized customer experiences, efficient data augmentation for training models, novel product design, and accelerated innovation. By automating creative processes, enhancing decision-making, and expanding possibilities, generative AI unlocks competitiveness and growth across a diverse range of industries, including:
- Supply chain optimization
Optimization in supply chain management by forecasting demand, predicting inventory needs, and identifying efficient distribution and logistics strategies. - Creative design and innovation
Industries like fashion and automotive can create unique designs, prototypes, and styles at speed, leading to revolutionary products and services. - Enhancing customer service
Natural language generation models can automate customer service responses, chatbot interactions, and report generation. - Image and video synthesis
In advertising, entertainment, and gaming, generative AI can synthesize realistic images and videos, create lifelike characters, and generate immersive virtual environments. - Anomaly detection and cybersecurity
Organizations can utilize generative AI for anomaly detection, spotting unusual patterns in data that may indicate security breaches, fraudulent activities, or equipment malfunctions. - Drug discovery and molecular design
In the pharmaceutical and biotech industries, generative AI aids in drug discovery by generating novel molecular structures with desired properties, potentially accelerating medication development. - Virtual prototyping and simulation
Manufacturing and engineering industries can use generative AI to create virtual prototypes and conduct simulations for product testing and optimization, saving time and resources. - Content creation and personalization
Enabling personalization for content creation, such as tailored product recommendations, customized marketing campaigns, and dynamically generated articles and videos.
Before customers can access these benefits, they must first overcome a host of challenges. For instance, customers need a straightforward way to find and access high-performing foundation models that give outstanding results and are best-suited for their purposes. Customers also want integration into applications to be seamless, without having to manage huge clusters of infrastructures or incur large costs. Finally, customers want it to be easier to take the base foundation models and build differentiated apps using their own data. Since the data customers targeted for customization is perceived as valuable IP, they need it to stay completely protected, secure, and private during that process, and they want control over how their data is shared and used.
It’s a challenge that Atos is uniquely capable of solving. Together with AWS we have helped enterprises migrate thousands of workloads to the cloud. Now, recognizing the need for a standardized, low-friction cloud migration process, we have joined forces with AWS to create CloudCatalyst, a new collaboration designed to help companies with large-scale infrastructure investments to migrate their critical systems and workloads to cloud.
With Atos’ support, our customers can reduce the obstacles to migration – such as existing contracts – and complete their move to the cloud earlier than expected. They can also expect to experience transformation benefits almost immediately – and one of the exciting new technologies we enable is generative AI. With access to a state-of-the-art cloud computing infrastructure and immense computational power, our customers can push the boundaries of traditional generative models, to open new capabilities and possibilities – from generating hyper-realistic images, to powering rapid prototyping and testing, to achieving limitless creativity.
At the heart of this lies our collaboration with AWS, with the purpose of helping customers migrate to cloud and fully harness its capabilities for applications like generative AI, where we are co-creating solutions for our customers leveraging the new AWS Bedrock AI platform, AWS Foundation Models, and partnerships with some of the leading Large Language Models (LLMs) in the industry.
Together, Atos and AWS offer a comprehensive range of AI services, to simplify the integration of AI capabilities into applications. This includes services like Amazon Bedrock (a secure, multi-language, customizable API-based access to a suite of foundation AI models), AWS Inferentia powered by AWS Trainium (offering cost-effective compute for training models), Amazon CodeWhisperer (AI-based code secure generation for accelerated software development), SageMaker JumpStart (a machine learning hub with access to foundational models, built-in algorithms, and pre-built models for ease of deployment), that all empower customers to build and deploy AI models effortlessly. By distributing training jobs across multiple instances, the time required to fine-tune models is significantly reduced, bringing creators closer to realizing their visions.
Atos also provides continuous service and support, as well as training for your own staff – a powerful incentive for them to stay on beyond migration.
Integrating generative AI into functional processes and IT operations
Atos’ relationship with AWS is based on years of successful cloud migrations for major customers across consumer goods, ecommerce, technology, banking, government, and more. Atos has been an AWS GSI Advanced Consulting Partner since 2013, holds the Migration Delivery Competency, and our AWS certified experts have over 1,000 certifications.
With CloudCatalyst, cutting-edge deployment options like serverless architectures and containerization enable smooth and scalable access to generative AI models on-demand. This, coupled with our approach of continuous development, maintenance, and automatic updates, ensures that processes will continue to evolve in tandem with emerging technologies.
Generative AI is poised to shape the future and change the world, impacting your industry, market, and experience. CloudCatalyst empowers visionary customers with computational power, data storage, and a collaborative ecosystem, driving creativity and commercial advantage. Unlock the full potential of AI-driven innovation for your organization with CloudCatalyst.
This article features contributions from:
Brooks Bocherding, Atos: Head of AWS practice
Eric Terrell, Atos: Head of Technology, AWS Practice
Jason Perry, AWS: Solution Architect
Vladimir Baranek, AWS: Global Enterprise Transformation Leader
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