Get Your Data Ready For AI | Future Processing

Do you feel the need to adopt AI due to fast-evolving market trends?

Our hands-on experience based on a number of AI and ML-based projects over the past few years shows that many companies are not yet ready to realise the full potential of AI. This has been also confirmed by comprehensive industry analyses. As many as 87% of AI projects are launched just to come across several considerable roadblocks along the way and ultimately fail. Many of them because of the data not being ready for AI.

Check if your data is AI-ready

Overcome your data obstacles with our AI solutions

Your challenge

Data issues

Our experience shows that the issues connected with imperfect data will prevent you from building a high quality AI-driven product or process. AI solutions fail because of the bad data architecture and the lack of data fluency, as the results they present often turn out to be false, biased, or faulty.

The most common data issues that may stop you from leveraging AI are: poor data quality and its inadequate volume, inconsistent data formats and sources, the absence of data strategy and governance, and challenges with data availability and observability.

Prepare your data for AI adoption

Our data consultants assess your data maturity level, help you set your high-level objectives, and investigate data sources and surrounding processes. Then, you will get a roadmap defining processes, rules, and tech to help your company manage its information assets in order to successfully adopt AI.

Data Consulting & Operations

Success stories

Absence of data strategy

We have a proven track record of data operations projects, including custom data architecture, integrations of more than 30 systems, and processing of 10 TB of data for one of our clients, which enabled us to create applications saving up to 250 hours of manual work.

Availability

Another of our clients could make the next necessary step in their transformation journey thanks to our data experts’ work in decrypting data in a complex migration project – they were later nominated for the client’s annual awards.

Quality and accuracy

NorthStandard needed to replace their core policy and claims system with a new bespoke solution, and to clean and migrate a vast amount of data of high complexity and large scope. The new enterprise system is secure and efficient, and is integrated with many third-party systems. It streamlines the workflows of international teams of the marine insurance giant.

Infrastructure

One of our clients first approached us with a plan to develop an AI-based platform. We conducted a workshop only to realise that implementing AI was impossible at that time, because the results would be far from what our client envisioned. We agreed on taking a step back and creating a new roadmap, which included data cleaning and Cloud Infrastructure modernisation before moving on to AI.