SERVICES
Artificial Intelligence and Machine Learning
AI and ML are reshaping how organisations use data – moving beyond analysis to interpretation, learning and prediction. At Insight Data Solutions, we help clients use these technologies in practical, responsible ways that enhance human decision-making rather than replacing it.
Our focus is on making AI and ML accessible, practical and aligned with each organisation’s goals. We integrate AI and ML into existing data and analytics environments – or build new intelligent capabilities – improving automation, speed and accuracy. Used well, AI becomes an amplifier for human insight, combining algorithmic precision with professional judgement.
Enterprise analytics at scale with Exasol
At Insight Data Solutions, we work with some of the largest and most complex data environments in the actuarial and financial services sectors. To manage high-volume analytical workloads efficiently and at scale, our data platform incorporates Exasol, a high-performance, in-memory analytical database designed for large-volume modelling and reporting. It complements our broader data-engineering and orchestration stack.
Our practical experience in implementing and optimising Exasol environments has enabled clients to unlock higher levels of performance. This is because, through Exasol, we can accelerate actuarial modelling and large-scale reporting, and enable near-real-time analytics across billions of records.
Core Exasol advantages
- Deployment flexibility
- Cloud, on-premises or hybrid options with full compliance and control
- Minimal maintenance
- No indexing or tuning required, freeing teams to focus on analysis
- Performance at scale
- Horizontally scalable, in-memory execution for simulations, actuarial projections and large-volume data models
- Integration with modern analytics tools
- Seamless compatibility with Python, R and Lua
- AI-ready architecture
- Enables AI agents to query data securely and run models directly within the database
How Exasol adds value
Traditional databases such as SQL Server and Oracle were not designed for today’s level of data exploration, iterative modelling and interactive analytics. In contrast, Exasol’s in-memory, parallel architecture processes data directly in memory rather than repeatedly writing to disk, delivering significant performance gains.
Unlike traditional platforms that rely on costly hardware or constant tuning, Exasol achieves high performance on standard infrastructure, keeping costs predictable as data volumes grow. Its flexible deployment options – cloud, on-premises or hybrid – allow organisations to balance cost, security and data sovereignty.
By combining Exasol’s performance with Insight Data Solutions’ experience in data orchestration, governance and automation, we help organisations modernise their data environments and make insight delivery faster, more consistent and easier to maintain.
If you are looking to modernise your actuarial or data-warehouse environment, ask our team to demonstrate how we have implemented Exasol to improve speed, scalability and cost-efficiency in practice.
How can we help you?