AI Research and Development
We are delighted to announce that the Rock River Research team has partnered with Hutcheon Mearns to form an internal AI consultancy division.
Through this new division, we will provide consultancy work as well as custom-designed AI software solutions to streamline operations and automate complex business processes. We remain dedicated to empowering organisations with comprehensive training and ongoing support, ensuring that staff are proficient in harnessing the full potential of the AI tools at their disposal.
Further information on Hutcheon Mearns AI can be found here.
With our deep expertise and passion in AI, we remain committed to researching the capabilities of Artificial Intelligence. We will continue to research, develop and refine technological solutions, particularly in the knowledge management field. We are excited for this next chapter and look forward to sharing our software platform, Pearlify™ with you in due course!
Contact Us
For product enquiries: admin@rockriverresearch.co.uk
For consulting enquiries:
artificialintelligence@hutcheonmearns.co.uk
Areas of Practice
AI Agents
The world of AI and it’s capabilities are ever changing and there is no better example of that than AI-Agents. Agents present a new opportunity of automation, analysis and efficiency within all Operations. AI Agents allow Large Language Models to take actions autonomosuly to achieve specified goals. This can include research via web search, querying databases, writing/reading files as well as creating programs for calculations and visualizations
Data Analytics
Data Driven decision making is at the heart of every organization. AI provides the ability to get to the result without the technical requirements of knowing code, SQL and python. The way people interact with Data to get specific results has forever changed. Generative AI has brought the ability to interact with data via Natural Language where the technical requirements of creating the query, python code, etc is now not required.
Model Fine-Tuning
Fine-tuning a Large Language Model (LLM) is the process of retraining a pre-trained model on a specific task or dataset to adapt it for a particular application. The decision to fine-tune a model depends on your objectives, which are often domain or task-specific. By leveraging the knowledge already captured in the pre-trained model, one can achieve high performance on specific tasks with significantly less data and compute
“We must all obey the great law of change. It is the most powerful law of nature.”
– Edmund Burke
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Ready to unlock the potential of AI for your business?