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The AWS-Capgemini partnership advantage

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Powering Tomorrow with Gen AI Blog

Powering tomorrow with Generative AI: The Capgemini-AWS partnership advantage


Transformation happens at the intersection of scale and vision, and they help their clients get there. The tech world buzzed with excitement when generative AI burst onto the scene, promising to transform everything from customer service to software development. Now, as the initial hype settles into practical reality, businesses face a crucial question: how do we actually implement this technology? It’s a question that keeps CTOs up at night. Cloud or on-premises? AWS or other providers? And perhaps most importantly – how do we ensure our investment pays off?


The Capgemini-AWS partnership journey


Capgemini has spent the last 15 years partnering with AWS to answer these types of questions. Their journey has evolved from basic cloud migrations to cutting-edge AI implementations, earning them recognition as AWS’s Global AI/ML Partner of the Year for 2023. But awards aside, what really matters is how this partnership helps their clients navigate the complex world of enterprise technology. Take Amazon Bedrock, for instance. It’s more than just another cloud service – it’s AWS’ answer to the enterprise need for flexible, scalable AI solutions. Through Bedrock, organizations can tap into a variety of foundation models from both AWS and partners like Anthropic and AI21 Labs. But the real magic happens when you combine this technical capability with industry-specific expertise.


Industry-specific expertise, combined with tailored AI solutions


This is where Capgemini’s team of more than 50,000 AWS-trained consultants comes in. They’ve seen firsthand how automotive companies use generative AI to revolutionize vehicle design processes, how financial institutions leverage it for risk analysis, and how manufacturers implement it to optimize production lines. Each industry has its unique challenges, and each requires a tailored approach.


Cloud vs. on-premises: Finding the right balance


But let’s talk about one fundamental truth: not every workload belongs in the cloud. Some organizations face regulatory requirements that demand on-premises solutions. Others have specific customization needs that don’t fit neatly into a cloud-first strategy. That’s why they’ve developed expertise in both deployment models. Their Level 1 MSSP Consulting Competency means they can guide organizations to the right choice for their specific situation, whether that’s cloud, on-premises, or a hybrid approach. The hardware aspect often gets overlooked in these discussions, but it’s crucial. AWS’ infrastructure includes cutting-edge NVIDIA A100 and H100 GPUs, plus the company’s own custom-designed Trainium and Inferentia chips. Through their Migration Center of Excellence in India, they help organizations leverage this infrastructure effectively while keeping costs under control.


Beyond the vendor relationship


Speaking of control – their partnership with AWS goes beyond the typical vendor relationship. With a dedicated global team and regular CEO-level engagement, they’re able to influence product development and ensure their clients’ needs are heard at the highest levels of AWS. As an Emerald sponsor at AWS re:Invent, they presented their largest and most ambitious program yet, centered around the theme “Scale, meet vision.” It’s not just a tagline – it’s a reflection of what they’re seeing in the market. Organizations don’t just need technology; they need a way to scale their vision into reality.


Immersive experiences, meet real-world transformations


Visitors experienced more than just demos. They created immersive experiences that show real-world transformations across industries. They did deeps into the three themes that are shaping the future of business: generative AI, innovation, and sustainability. It’s one thing to talk about these topics, it’s another to see them in action. What makes their approach different? They believe transformation happens at the intersection of scale and vision. Anyone can dream big, and anyone can implement technology. But bridging that gap – turning ambitious digital aspirations into practical, scalable solutions – that is where Capgemini excels.


The future of enterprise technology isn’t about adopting the latest tools. It’s about finding the right balance between innovation and practicality, between speed and security, between cloud and on-premises. Through their partnership with AWS, they’re helping organizations find that balance.

Laptop 1
Powering Tomorrow with Gen AI Blog
Powering Tomorrow with Gen AI Blog

Powering tomorrow with Generative AI: The Capgemini-AWS partnership advantage


Transformation happens at the intersection of scale and vision, and they help their clients get there. The tech world buzzed with excitement when generative AI burst onto the scene, promising to transform everything from customer service to software development. Now, as the initial hype settles into practical reality, businesses face a crucial question: how do we actually implement this technology? It’s a question that keeps CTOs up at night. Cloud or on-premises? AWS or other providers? And perhaps most importantly – how do we ensure our investment pays off?


The Capgemini-AWS partnership journey


Capgemini has spent the last 15 years partnering with AWS to answer these types of questions. Their journey has evolved from basic cloud migrations to cutting-edge AI implementations, earning them recognition as AWS’s Global AI/ML Partner of the Year for 2023. But awards aside, what really matters is how this partnership helps their clients navigate the complex world of enterprise technology. Take Amazon Bedrock, for instance. It’s more than just another cloud service – it’s AWS’ answer to the enterprise need for flexible, scalable AI solutions. Through Bedrock, organizations can tap into a variety of foundation models from both AWS and partners like Anthropic and AI21 Labs. But the real magic happens when you combine this technical capability with industry-specific expertise.


Industry-specific expertise, combined with tailored AI solutions


This is where Capgemini’s team of more than 50,000 AWS-trained consultants comes in. They’ve seen firsthand how automotive companies use generative AI to revolutionize vehicle design processes, how financial institutions leverage it for risk analysis, and how manufacturers implement it to optimize production lines. Each industry has its unique challenges, and each requires a tailored approach.


Cloud vs. on-premises: Finding the right balance


But let’s talk about one fundamental truth: not every workload belongs in the cloud. Some organizations face regulatory requirements that demand on-premises solutions. Others have specific customization needs that don’t fit neatly into a cloud-first strategy. That’s why they’ve developed expertise in both deployment models. Their Level 1 MSSP Consulting Competency means they can guide organizations to the right choice for their specific situation, whether that’s cloud, on-premises, or a hybrid approach. The hardware aspect often gets overlooked in these discussions, but it’s crucial. AWS’ infrastructure includes cutting-edge NVIDIA A100 and H100 GPUs, plus the company’s own custom-designed Trainium and Inferentia chips. Through their Migration Center of Excellence in India, they help organizations leverage this infrastructure effectively while keeping costs under control.


Beyond the vendor relationship


Speaking of control – their partnership with AWS goes beyond the typical vendor relationship. With a dedicated global team and regular CEO-level engagement, they’re able to influence product development and ensure their clients’ needs are heard at the highest levels of AWS. As an Emerald sponsor at AWS re:Invent, they presented their largest and most ambitious program yet, centered around the theme “Scale, meet vision.” It’s not just a tagline – it’s a reflection of what they’re seeing in the market. Organizations don’t just need technology; they need a way to scale their vision into reality.


Immersive experiences, meet real-world transformations


Visitors experienced more than just demos. They created immersive experiences that show real-world transformations across industries. They did deeps into the three themes that are shaping the future of business: generative AI, innovation, and sustainability. It’s one thing to talk about these topics, it’s another to see them in action. What makes their approach different? They believe transformation happens at the intersection of scale and vision. Anyone can dream big, and anyone can implement technology. But bridging that gap – turning ambitious digital aspirations into practical, scalable solutions – that is where Capgemini excels.


The future of enterprise technology isn’t about adopting the latest tools. It’s about finding the right balance between innovation and practicality, between speed and security, between cloud and on-premises. Through their partnership with AWS, they’re helping organizations find that balance.

Powering Tomorrow with Gen AI Blog

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