Data & Artificial Intelligence

Data & Artificial Intelligence

When you harness the power of analytics, automation, and artificial intelligence (AI), you can uncover hidden relationships from vast amounts of data. Implementing the right strategy and technology will balance speed, cost, and quality to deliver measurable business value.

Strategy Formulation


  • Identify Use cases based on the nature of our customers business and their strategic priorities
  • Identification and impact analysis of issues (common issues or challenges themes)
  • Document or update the strategy for data
  • Identification of other Organizational dependencies
  • Determine skills & Capacity, Technology and infrastructure needs
  • Define Baselines and measurable Key Performance Indicators (KPI) metrics
  • Implementation plan
  • Organizational Change Management communication plan

Design and Develop Business Models


  • Choose right machine learning models (Binary, Multiclass, Regression classification models) relevant to AI use cases
  • Develop and Train the model (data feed to the machine language algorithms) enabling the model to produce desired result

Implement & Support


  • Deployment of business models in an environment with application interface where new data can flow and ML models can depict results
  • Monitoring & Reviewing models, adjustments & alterations based on customer feedback or trail and error methods ensuring desired results are achieved
  • Ongoing support and Maintenance tasks