What is Artificial Intelligence?

Artificial Intelligence refers to the use of high-power computers to process large data sets and yield actionable insights from that data.

It includes sub-fields like Machine Learning, Computer Vision (both analytical and generative), and Natural Language Processing (including LLMs like ChatGPT).

Applications of Artificial Intelligence

Artificial Intelligence has found the most varied applications in almost all sectors in the modern age. This starts from medical applications, marketing, management, consulting, and many other areas.

Among sub-fields, generative AI has the highest applications, with most businesses leveraging it to better their communication and information sharing. Further, the visual generative applications of AI, such as images and videos, have greatly helped reduce the marketing budget, giving companies more leverage to hire core staff.

In our own business, we use AI for generative applications such as generative text (perplexity), generative images (Midjourney), and generative code (ChatGPT). We are also exploring the new field of AI agents for our internal use as well as for our clients.

This brings our discussion to the newly discovered field of AI agents, which are basically AI-powered software that can independently perform tasks ranging from stock trading, crypto trading, hotel booking, coding, and even handling entire marketing campaigns.

Benefits and Disadvantages

AI has several benefits that help us in everyday tasks as well as can handle complex workloads which are near impossible for humans.

Among them, the following benefits stand tall.

• AI has helped streamline corporate conversations across the world, overcoming language barriers.
• Generative AI has supported nearly all social media accounts, whether they are personal, professional or corporate.
• LLMs have helped everyone share information in a proper arranged way. This helped overcome language barriers of non-native speakers.
• Computer vision is being used in the field of cancer detection, analyzing complex financial data, crime monitoring and several other fields.

These days the world has been so awestruck with AI that people take primary interest in the benefits, ignoring much of the associated risks.

• Risks associated with data breach.
• Intellectual property infringement.
• False positives.
• Misclassification of data.
• Risks of generating false information from uncleaned data.
• The need for higher processing power.

Frequently Asked Questions

1. Is AI the same as Machine Learning?
   • Machine Learning is a sub-field of AI and is used to process large data sets for deriving insightful analysis.
2. Which category of AI do AI agents fall in?
   • AI agents are the result of a combination of multiple AI fields like Natural Language Processing, and Computer Vision.