It is no secret that these days it is easier to find phrase “Artificial Intelligence” in our Digital world. Both your professional and personal success depends on your ability to learn and Implement Artificial Intelligence(AI) solutions.

Most of the AI progress was in this century beginning, that is in the year 2000. The AI performance has increased from 0% to Human Level performance that could do pretty normal things like recognizing our handwriting. In the year 2012 the AI has reached Human level performance that is capable of doing things of Human level performance.

In the year 2013 AI could recognize “Speech recognition” and then things changed quite rapidly.

Image classification by AI was occurred around the year 2014, which tells either Bat or Ball. Language classification then came around 2018,.

Understanding and reasoning of AI above the Human level performance has increased gradually.

Computers can capture more logic without being emotionally hijacked and process information qualitatively. "Machine thinking" tools will continue to develop and take decisions logically.

How Artificial Intelligence help your Business

LakeBridge Blog

21st Apr, 2025

Neerasa Chinnamanaidu

GPT- 1 (Generative Pre-Trained Transformer of OpenAI) was launched in June 2018 and it was a key step forward in Machine Learning.

GPT-2 Model launched in Feb,2019 and has capabilities of “Generates short Human Like” responses.

GPT-3 Model, launched in 2020 which can writes computer code.

GPT-4 Model launched in 2023 , has complex Reasoning capabilities.

Gemini 1.5 launched in Feb,2024 can accept MultiModel inputs.

Claude 3 Opus released in March 2024, can perform highly complex tasks allowing users to balance of Intelligence and Speed of application.

Machines can now do things above Human level performance with time and speed at impressive accomplishment. The most impressive test result of Artificial Intelligence ( AI) is “Neurology Oral Board exam” enhanced the assessment process by generating realistic patient scenarios . The GPT 3.5 scored 62% in this exam.

AI supports three important needs of business

Automating business processes, gaining insights through data analysis and engaging with customers and employees.

Automation of business process: Most common type was the automation of digital and physical tasks- typically back-office administration and financial activities. Tasks include- transferring data from e-mail into system of records, updating customer files with address changes.

How business can benefit from AI

Enhance the features, functions and performance of products – 52%

Make better decisions – 36%

Optimize internal business operations- 31%

Free up employees to be more creative by automating tasks- 37%

Pursue new markets for better opportunities- 27%

Reduce head count through automation- 19%

Several other factors are identified by executives that can derail AI initiatives.

Technologies are still immature- 34%

We can’t get enough people with expertise in this AI technology- 36%

Managers don’t understand cognitive technologies and how they work- 41%

Current challenges of AI

Algorithms detect Patterns

Machine-learning (ML) applications are used to:

Predict what a customer is likely to buy

Identify and analyze warranty data of safety and quality problems in automobiles and manufactured products

Automate personalized targeting digital ads

Conclusion

Companies use cognitive engagement technologies more to interact with employees than with customers. This change will benefit turning customer interactions over to machines

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