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.
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.
Instead of focusing on a single algorithm or tool, consider the overall business, process or function.
Cultural change management
Drive adoption and change across all functions and levels with the right training, tools and processes.
Brains + bots: Human and machine collaboration
Companies achieve more when human creativity and judgement are coupled with the speed and scale of AI.
Responsible Artificial Intelligence
AI should benefit users, communities and society at large, guided by core principles that help deliver desired outcomes while engendering trust.
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 mining, Data strategies, Data quality, Data governance, and Data integration
– 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
- 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
Area of Expertise
< Structured Data
< Natural Language Processing
< Recommendation Engine
< Reinforcement Learning
< Tensor Flow < R
< PyTorch < SAS
< Keras < Julia