Uncovering key insights through Data Exploration

Customers across industries are looking for new ways to extract value from yet unexploited data sources. Typically, these data sources are unstructured and high effort to get insights from in a manual fashion (e.g. Customer reviews in a high traffic e-commerce setting, EU tenders “is this tender the right one to participate in?”), hence these data sources are unexplored and don’t usually create value for the customer. In this context Generative AI offers new ways to dig into these data sources and allows for new ways of interaction and analysis.

Improve the efficiency of your business with AI, in a secure and people-centric way.

Slalom Knowledge Mining is an adaptable solution which can be tailored to customer requirements / intended outcomes to allow gaining insight into unstructured data at scale. From a business perspective the solution has a fast path to value and allows for easily customizing and extending the data sources. The technical perspective is formed by a framework approach, that combines application code, Infrastructure as Code and technical foundations like pipelines, data encryption and observability (logging).

There are three phases:

*Ingest: Acquire, pre-process, transform and store unstructured data in a secure AWS storage. By using existing connectors, you can quickly process broad range of inputs (for e.g. PDF, Word, Excel), databases and data warehouses

*Understand: We use leading Large Language Models (LLMs) to automatically extract valuable insights from unstructured data and enrich decision-making. Capitalise on LLMs to perform semantic searches, follow instructions, and execute simple reasoning.

*Act: Enable your team to focus on high-value tasks with better and faster decision-making. Analyse insights generated by LLMs and leverage established business intelligence, AI-driven chatbots, or voice command for a human experience.

AWS Services included in this solution may be: *Amazon Bedrock *Amazon S3 *Amazon RDS *AWS Lambda