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Generative AI is artificial intelligence that creates content. It writes texts, draws paintings, composes music, or codes software, without human intervention. So well, that this content is indistinguishable from what humans create. These capabilities make Generative AI the next big thing in our daily lives. Just like computers, the internet and smartphones, Generative AI will change the world and revolutionize work in many industries. We help you become part of this revolution and leverage the potential of Generative AI.
Market research company Fortune Business Insights estimates that the market for Generative AI and its applications will grow to more than $650 billion by 20301.
GenAI will affect nearly all industries. However, there are areas likely to benefit stronger than others:
Our global portfolio of Generative AI projects covers multiple industries. We have a strong focus on the customer service sector.
Voice of Customer Excellence
Deriving insights regarding customer pain points and WOW-moments from millions of customer interactions.
Compliant PDF Chatbot
Development and deployment of a compliant ChatPDF Chatbot on Microsoft Azure.
Technical Assistant
Leading the company-wide GenAI initiative and developing an LLM-powered technical assistant to boost customer service.
Know-How Retrieval ChatBot
Providing efficient access to information to the public with help of a LLM-based chatbot.
Customer Chat- and VoiceBot
A multi AI-agent VoiceBot solution to raise the customer experience to the next level.
GenAI in Customer Service
Supporting B2B customer service agents with a state-of-the-art LLM-based solutions.
Foundation Models form the basic framework for many Generative AI applications. These models are trained on a broad database and can be used for varying tasks – often with only minimal fine-tuning. The term Foundation Models was first popularized by the Stanford Institute for Human-Centered Artificial Intelligence. These models use self-supervised learning and transfer learning to apply their learning to new situations. Large Language Models (LLMs) are Foundation Models specialized to understand and generate natural language. GPT-3.5/4 from OpenAI and the chat model ChatGPT based on it or PaLM 2 from Google, the basis of Google Bard are examples of such LLMs.
Unlike conventional AI models, in many cases LLMs do not need to be trained from scratch if you want to use them for your own purposes. Instead, these models are fine-tuned to optimize understanding and responses to specific prompts. Another approach is to use so-called embeddings. These are vector representations of data that allow the existing model to be adapted to specific requirements. As an example, this technique can be used to quickly implement a customized chatbot for different application areas.
The adaptation of the LLM follows a simple concept:
We support you in leveraging the enormous potential of Generative AI for your business. We help you plan and implement the use of this technology systematically and efficiently. Generative AI can do a lot, but it’s not a panacea – that’s why our experts and developers make sure you catch all the important turns on your way to becoming a GenAI-driven company:
For expert insights into digital transformation, cutting-edge technologies, research and more, visit our Knowledge Hub.
In this whitepaper we explore the security implications from a private and public perspective and illustrate some of the risks of Generative AI applications and models.
Read more about this whitepaperGenerative AI offers opportunities: enhancing customer experience, boosting productivity. Exploring benefits and pitfalls of this tech is crucial.
Explore this topicPascal Greuter
Associate Partner – Data & AI
Data & AI
pascal.greuter@eraneos.com +31 20 305 3700 @pascalgreuter