1. Consulting for the discovery of opportunities:
• Close collaboration with customers to identify potential data science use cases.
• Conducting detailed analysis and evaluations to determine the viability and potential impact of these usage scenarios.
2. Data Strategy Discovery Consulting:
• Assist clients in designing robust data strategies aligned with their business objectives.
• Developing frameworks for optimizing data collection, storage and use.
3. Development of prototypes/minimum viable products (MVPs):
• Creating prototypes and MVPs to demonstrate the functionality and potential of data science/machine learning solutions.
• Rapid validation of concepts and identification of effective solutions for specific customer needs.
4. Implementation of data science/machine learning solutions:
• Production of data science and machine learning use cases, guaranteeing their optimal operation.
• Constant monitoring of ongoing usage scenarios using the most advanced techniques and tools available. In terms of application areas, we would like to emphasize that we focus on a wide range of cases in the sector, including:
• Natural Language Processing (NLP)
• Multipurpose Learning Language Models (LLMs)
• Budget optimization
• Process optimization
• Use advanced models to increase efficiency
Another important aspect is preparing companies for the future of a data-driven organization by developing an enterprise-wide strategy for establishing the organizational structure and teams of data scientists (Data scientists).
