Want to use Gen AI but not sure what path to take?

?

As businesses embrace AI to drive productivity there are many paths they can take and working in Dufrain, we are digging deep to ensure that every client has all the knowledge in place to make sure the path they select is best for them.??

The most suitable options for our clients use cases are achieved through using Microsoft Copilot, Databricks Genie or private RAG (Retrieval Augmented Generation) Systems, such as our DufrainGPT prototyping platform.??

Each of these paths offer unique advantages depending on the needs of an organisation regarding scalability, data controls and customisation to name a few, it is not one size fits all. The key factor for them all is to ensure that an effective AI framework is in place for the organisation to ensure that you are in full control of what is happening within your business.??

Below I have listed in my opinion a few strengths of each approach:?

Microsoft Copilot?

Ease of Adoption – This feels familiar to Microsoft users and works out the box with well known staples like Word, Excel and Teams?

Powered by Azure – Built on Microsoft’s cloud infrastructure which allows for reliability and speed backed by Microsoft?

Security – Adheres to enterprise-grade compliance standards?

?

Databricks Genie?

Open source models – Provides flexibility and ability to avoid vendor lock-in??

Unified Analytics : Integrates tightly with Databricks Lakehouse enables data-driven insights at scale?

Customisable models – Allows fine-tuning for domain-specific tasks using organisations own data?

?

Private RAG Systems (e.g. DufrainGPT)?

Rapid-prototyping for maximal ROI – without the need for licenses, our prototyping environment can show you the most valuable use cases and prove value before committing to a larger spend?

Tailored to your business – Fully customisable for niche industries and workflows?

Data privacy – Keep sensitive information secure, On-premise or within private cloud environments?

Accuracy and context – Designed to provide highly contextualized outputs based on your data??

?

So what do you choose? This is dependant on multiple factors:?

• such as where your data is hosted???

• what tools you already have in your stack???

• what you are looking to achieve??

We are a technology agnostic Data company, so if you want to discuss this in more detail and start your AI journey why not reach out to us @Dufrain??

#AI #dufrain #aiagent #automation #compliance??

?

?

?

?

?

?

?