Strategy and Build-up

Consulting, AI Priorities, Algorithms and building a robust AI & ML infrastructure.

 

 Adhering to the protocols and norms, our AI team constructs business strategies to add value to your business.

  • Discuss the AI priorities
  • Favorable techniques to collect data, prepare algorithms and plan to build AI infrastructure
  • Cover the core aspects of AI Strategy.
  • AI experts gain an insight to pre-derive outcome using Key Performance Indicators (KPIs) and Objectives and Key Results (OKRs)
Business Case Planning

Mapping out the pitfalls, challenges, and outcomes to build a solid business case.

 

A constructive roadmap is built with pre-defined goals, with a business case explaining the in-depth plan of the project. 

  • Detailed approach for AI roadmap development
  • Adherence to corporate standards and profitability
  • Business case with focus on project stages, alternatives, opportunities, Financial Proforma etc. which are crucial aspects of implementation.
  • Need analysis of AI application integration with the existing business model.
Business Process Assessment (BPA) and Business Process Re-Design

Process assessment to determine performance, assess ROI and work on opportunities

 
  • BPA tools to reveal bottlenecks and challenges in the project. 
  • Focus on core improvements, cost reduction, need for redesign.
  • Include metrics such as cost, flexibility, time quality, customer satisfaction, value, project scope and schedule goals.
Data Management

Data mining, Data strategies, Data quality, Data governance, and Data integration

 

Our team of Data Experts provide data strategies along with advanced, and secured architectural space. A vast quantity of data empowers accuracy and valued performance in AI solution. Below are the measures undertaken when handling database systems in AI. 

  • Data Locality
  • Data Durability
  • Data Scalability
Customization, Development, and Integration

Customized model deployment, Secured integration with cloud computing 

 

Empowering enterprises to retransform with progressive functions and customizable features.

  • Discovery & Analysis
  • Proof-of-Concept
  • Development and Integration
  • Deployment and Support
  • Performance engineering and enhancement 
Risk and Compliance

Increase compliance control, policy management effectiveness, and risk mitigation programs.

 

A holistic approach toward managing compliance and keep risks in check.

  • Adopt a unique compliance strategy
  • Right combination of Technology and tools
  • Framework to manage compliance risk
  • Increased collaboration
  • Enterprise-wide risk management process

Technology Stack

Area of Expertise

  • Computer Vision
  • Structured Data
  • Natural Language Processing
  • Recommendation Engine
  • Reinforcement Learning

Skills

  • Tensorflow
  • Pytorch
  • Keras
  • Opencv
  • Theano
  • Python
  • R
  • SAS
  • Julia

Cloud ML

  • AWS
  • Azure
  • Google
  • IBM