Generative AI

Our vision

Generative AI is the next revolution.

After the deep learning boom, the AI and big data market seemed set to grow at a steady pace. That forecast was disrupted by the rapid progress and popularity of generative AI models. The release of large language models and diffusion models such as OpenAI’s GPT and DALL·E showed the potential of generative AI for every industry in the years to come.

We are witnessing a new wave of tools built on generative AI, driven by the performance of the latest models behind ChatGPT, GitHub Copilot or Midjourney.

While these off-the-shelf tools already deliver a great deal of value, proprietary data and fine-tuned models are the key to true differentiation.

Whether they use off-the-shelf tools or develop more advanced use cases, companies face three major challenges:

• Securing safe adoption: internal use of generative AI tools must be supervised, with dedicated training and established best practices.
• Avoiding an explosion in hardware costs: using, fine-tuning or training large language models can be expensive, and costs must be contained.
• Ensuring data security and privacy: a secure company environment hosting all generative AI tools must be set up to protect data.

Our offer

To address these challenges and help every company benefit from advances in generative AI, Emerton Data provides support across four areas:

Generative AI strategy

• C-level support: training and strategy
• Acculturation strategy and implementation

Generative AI stack

• Safe and secure internal deployment
• Generative AI infrastructure for use cases

Generative AI use cases

• Use-case prioritisation and roadmap
• From prototype to product (customer reviews, information retrieval, speech-to-text, image generation to support design, etc.)

Generative AI research

• Fine-tuning and deployment of large-scale models
• End-to-end experimentation methodology