AI - The Fastest Growing Segment

Shopping isn't just about walking into a store and buying things anymore! In today’s world, there’s a want for instant delivery without visiting the store. Adapting to this trend will require companies to come up with new innovations to create unique customer experiences. Meeting these challenges will require companies to adapt and modify their supply chain to maintain profitability in a more competitive world.

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About the Mentor

About the Mentor

Balpreet Singh

IT Leader & Assistant Vice President, Reliance Industries Ltd

He is a Supply Chain IT Expert and has delivered many Digital Business Transformations successfully.

We are here to help you

Browse through the most frequent questions

What is AI road map?

The AI road map is a comprehensive guide to implement AI in your business. It covers everything from AI strategy and planning to implementation and operations. However, in general, an AI road map is a plan of action for how an organization or individual intends to achieve their AI-related goals.

How do I become an AI expert?

A strong background in programming, systems analysis and proficiency in numerous computer languages are prerequisites for a career in AI. With a bachelor's degree in data science, mathematics, or computer science can make you qualified for entry-level work in the AI industry but to be an expert you need to have a special skill set that includes:
- Programming Skills
- Knowledge of Algorithms and Frameworks
- Linear Algebra, Probability, and Statistics Skills
- Knowledge of Big Data Technologies
- Communication and Problem-solving Skills

How do I make an AI road map?

Making the AI Road map can be done in the following steps:
- Assemble an AI governance board
- Define your AI objectives, use cases and ethical principles
- Perform an AI risk assessment
- Implement controls and compliance measures
- Manage and maintain your data
- Monitor, update and refine your strategy

What are the 4 steps of the AI process?

A business AI road map can be mentioned in 4 easy steps that are as follows:
- Start with the appropriate issues: Assuming you are building “Translation tool”, The issues can be , the tool result are not grammatically correct or not close to context. Problem scoping will help AI to be well implemented.
- Specify the business results : Means using AI as a tool to reach a higher-order goal and don't add AI for the sake of adding , specify the main goal of using AI in your business.
- Organize and collect your data : AI works best with "Clean data". You'll need your data in a proper format so AI recognize the patterns & provide the best result.
Pick the appropriate technology : After ensuring your data is ready for AI, pick the type of AI that can be implemented in your business.

What are the 3 major AI issues?

1.Threat to Privacy: An AI program that evaluates voice, translation and understands natural language is in theory able to recognize conversations on e-mail and telephones.
2.Threat to Human Dignity: AI systems started to replace the human workforce in some profession.
3. Threat to Safety: Sometimes, the strictly self improving AI systems may become so mighty than humans, which can get out of control and lead to an unintended consequence.