Artificial Intelligence (AI) and Machine Learning (ML) are turning into game changers for nearly each industry. But it can be a long way to have access to sophisticated digital assistance that helps you innovate and simplify processes with great results. AWS provides top-notch resources to simplify AI applications development including ready-to-go foundation models (FMs) for Generative AI.
AI tools like ChatGPT revolutionized AI usage – and very clearly showed the value-add of AI for research, summarizing, programming, chatting, support, predicting, analytics, and many other use cases. Against the background of the skill gap, AI will play a crucial role in unburdening and enabling of personnel to perform better. But AI know-how is a scarce resource and many enterprises do not know how to explore and exploit generative AI models for their business.
In the context of a use case for sales and marketing at a manufacturing company, we highlight the typical challenges of GenAI projects. Watch the video and see how T-Systems and AWS can help.
AWS technology offers a holistic stack of AI solutions and services for experienced developers, citizen developers and AI users. Besides infrastructure resources for cost-efficient training and inference, enterprises have access to platforms, frameworks and pretrained models. With Amazon Bedrock even a broad palette of foundation models for Generative AI is available: Amazon’s own Titan, the multi-lingual large language model Jurassic-2, Claude for conversation and workflow automation and stable diffusion for image generation.
For enterprises that want to explore the AI universe, T-Systems offers a unique opportunity: Explore Generative AI and gather your own expertise within a secure GenAI playground. Our proof of concept contains AI consultancy, access to pre-trained foundation models, and a secure environment that allows you to work on your use cases with your internal data – your data stays your data.
