In data-rich business environments the effectiveness of AI technologies will be only as good as the data they have access to. Building a robust data strategy that can be applied across industries and levels of data maturity enables superior data management and analytics.
Structuring Unstructured Data
Unstructured data comes in many formats and might be written text, multimedia like videos and images, or even audio files of conversations. Structuring data and extracting features turns it into a useful basis for further analysis and decision making.
Generative Adversarial Networks
GANs are the latest technology breakthrough in AI. We are experienced in applying GANs to create seemingly natural images, videos and speech with a defined set of parameters which helps you to meet GDPR pseudonymisation or anonymisation requirements.
Deep Learning at Scale
Working on problems withs terabytes of data for industrial applications is one of the most pressing challenges today, and as models get more complex it’s only getting harder. By developing at scale we ensure that any solution works for many people, in many locations, and at a reasonable speed.
Identifying the likelihood of future events and predicting their implications ensure the growth and success of your company. We use a variety of data mining, predictive modeling and analytical techniques for pattern detection to support the decision making process when faced with uncertainty.
By using Natural Language Processing (NLP), our custom text analysis solutions extract meaning from text data and therefore greatly enhance the quality of reporting and analysis. We also use sentiment analysis to capture how positively or negative customers feel about topics, brands and products.