In this Artificial Intelligence tutorial, we define and achieve its Artificial Intelligence (AI) objectives in a systematic manner. It caters to risks associated with this disrupter and ensures implementation meets the desired outcome. Below are the elements for Intelligence Automation Model to cater to your needs in a business or organization.

Types of AI Strategy

AI Strategy Development
Derivation of the AI strategy/roadmap supporting location AI Strategic goals, Enabling Organizational strategic objectives.

IT Strategy Redesign
Revisiting people, process, and technology aspects.

AI Governance Framework
Setting up a governance structure to monitor & operate AI.

AI Business Process readiness
– Identify data and Classify, prioritize processes best fit for RPA, AI, or CI.
– Data governance and Management.
– Removing inefficiencies in processes /minimizing exceptions.

Design & Implementation Governance
Governing the implementation till it meets desired objective by vendor selection, governing implementation, development of personas for the customer for UI during design.

Intelligent Automation Office
Deploying a team of resources to assist in your AI journey. (Data Scientist, Business domain specialist, AI Consultant, etc.)

AI Skill Development  Program
Workforce readiness is the key to a successful AI story. This can be achieved through our well-designed program.

Regulation/Compliance and Security 
Ensure compliance with relevant regulatory requirements (Data law, Information Security, Healthcare data handling, etc.)  while adopting AI
Risk Assessment.

Artificial Intelligence Objectives

In this Artificial Intelligence tutorial, you get to know the key objectives of implementing an expert system.

AI Vision & Alignment
Develop Organization’s AI Vision & Objectives aligned to corporate, digital/ IT Strategy, and location AI Themes/Targets.

Service Portfolio AI enablement
Understand existing services/processes and identify elements that can be automated through the Artificial and Cognitive intelligence model.

Key Automation area detection
Identify business pain areas, Customer dissatisfaction areas, Key business activities requiring high FTEs, Requiring deep analytics, or highly repetitive work.

AI Roadmap & estimated impact study
Derive initiatives and Develop a prioritized roadmap for AI-enabled services using state of art technologies.

AI Capability planning
Study existing setup and define the elements required in terms of human, financial, operational, governance, and technology for preparing organizations for the AI revolution.

With any new technology implementation, there are challenges always. The users have to trust AI agents with all their information. We should be optimistic about what’s to come.