our solutions

Artificial Intelligence

overview

What is Artificial Intelligence?

Artificial Intelligence (AI) is a constellation of technologies that allows machines to sense, comprehend, act and learn in order to extend human capabilities. In fact, our clients see the greatest gains when humans and machines work together to complement each other’s strengths.

To take advantage of AI, you have to move beyond proof of concept. Find out how to scale the impact of AI across your business for maximum value.

Solutions

The code to success

Our big-picture approach is based on several key factors that we believe are essential to any AI implementation.

An ecosystem of innovation

Ideate and implement your AI agenda in collaboration with partners who have complementary goals.

An ecosystem of innovation

End-to-end integration

Instead of focusing on a single algorithm or tool, consider the overall business, process or function.

End-to-end integration

Cultural change management

Drive adoption and change across all functions and levels with the right training, tools and processes.

Cultural change management

Brains + bots: Human and machine collaboration

Companies achieve more when human creativity and judgement are coupled with the speed and scale of AI.

Brains + bots: Human and machine collaboration

Responsible Artificial Intelligence

AI should benefit users, communities and society at large, guided by core principles that help deliver desired outcomes while engendering trust.

Responsible Artificial Intelligence

Building and Fueling Intelligent Businesses

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 road map is built with pre-defined goals, with a business case explaining the in-depth plan of the project.

  • Detailed approach for AI road map 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 re transform 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

<  Structured Data

Natural Language Processing

Recommendation Engine

<  Reinforcement Learning

Skills

Tensor Flow          R
PyTorch                  SAS
Keras                      Julia
OpenCV
Theano
Python

Cloud ML

AWS

Azure

Google

IBM