AI and Data

AI and analytics offer versatile opportunities such as:

• Business Optimization

• • Automation of operations
  • Optimization of processes
  • Identification of development areas (both new and recognized trends)
  • Detection and prevention of problem areas

• Decision Support

• • Consideration of information from various sources and large datasets
  • Utilization of various statistical methods to create understandable and easily structured results

• Enhancing Customer Experience

• • Comprehensive visibility and in-depth understanding of customer needs and behavior

We can provide our services for various situations according to the client’s needs:

• Project implementation from mapping and planning to production and maintenance.
• Delivery of a limited assignment in collaboration with the client.
• In agile and client-managed development projects, integration of our experts into the client’s development team.

We typically implement projects in stages, ensuring that the entirety and the content of each phase meet the client’s needs:

• Needs Assessment

• • Addressing questions such as:

• • • What AI use possibilities can be identified?
    • What is the current state of AI and analytics methods?
    • What risks are foreseeable—related to either the project’s implementation or its omission?
    • What business benefits can be achieved?

• • • • Increased sales
      • Improved efficiency
      • Cost savings

• • Needs assessment usually starts at the company’s strategic level, conducted in close collaboration with the client.

• Proof of Concept (PoC) / Minimum Viable Product (MVP) Implementation

• • Once a suitable AI use case is identified, a Proof of Concept (PoC) is executed.
  • PoC tests and examines the functionality, usefulness, and production readiness of the AI implementation.
  • Key considerations in PoC include method reliability, impact on business, data quality, suitable tools and algorithms, and requirements for industrialization and maintenance.
  • PoC implementation typically takes about 3–6 weeks, and decisions about development, industrialization, or exploring new use cases can be made based on the findings.

• Further Development of the Solution

• • When PoC results are promising, the PoC can be transitioned to production.
  • At this point, the suitability of tools used in PoC for production use is reassessed. We deliver everything needed: the implemented solution, training, and support.
  • Measurable goals are set for the production use of the solution, and an ROI calculation is performed.

Teamit provides clients with skilled Data Engineers, Data Scientists, and Data Developers who assist with questions related to AI and analytics solutions and their application.

Our experts have a strong understanding of the subject at a strategic level and extensive experience in various data projects. Our experience is based on both broad industry knowledge and academic research.

Our experts are proficient in common and advanced technologies and methods. We flexibly and needs-basedly utilize various tools, with the purpose, goal, and existing solutions determining the tools and methods. We always implement our solutions to avoid creating a vendor lock-in for the client.

Key methods we use:

• Statistics, Bayes
• Machine Learning
• Data Mining
• Digital Signal Processing
• Neural Networks
• Reinforcement Learning
• Model Evaluation and Validation
• Simulation
• Information Visualization
• Utilization of pre-trained language models and AI tools