Are you afraid of AI? AI cannot replace humans.

Machine Learning


Artificial intelligence (AI) refers to computer systems that can perform complex tasks previously only possible for humans, such as reasoning, decision-making, and problem-solving. Simply put, computer science, which designs machines, has advanced to the point where they can perform tasks that previously required human intelligence.

AI will not replace humans, but those who can use AI will have an advantage over those who cannot. Without AI, you will struggle because most jobs will involve some form of AI. Yes, humans with AI will replace those without. But AI will augment existing jobs and automate repetitive tasks while allowing companies to rely more on human capabilities.

About Artificial Intelligence Skills: Coding, Quantum Computing, Programming, Technical Knowledge, Communication and Emotional Intelligence, Design Thinking, Critical Thinking. The AI ​​industry requires many high-demand skills such as deep learning, reinforcement learning, computer vision, and natural language processing.

AI is expected to improve industries like healthcare, manufacturing, banking, education and customer service, resulting in a better experience for both workers and customers, but it faces challenges including increasing regulation, data protection and privacy concerns, and fears of job loss.

Just as the internet dramatically lowered the cost of transmitting information, AI will lower the cost of cognition. That's the view of Karim Lakhani, a Harvard Business School professor who has spent years studying AI and machine learning in the workplace. As the public comes to expect companies to provide seamless, AI-enhanced experiences and transactions, leaders will need to embrace the technology, learn how to harness its potential, and develop use cases for their own businesses. “Where can you apply it,” Lakhani says. “And where do you apply your thinking?”

In this second wave of machine learning, human-built applications learn from examples and use structured feedback to solve their own problems.

It starts with modeling using available data. The good news is that you don't need a ton of data to get started. Data is all around us in many forms: Excel, registers, ledgers, etc. You might not need that much data to start using machine learning productively.

It is good to understand the data inputs, expected outputs and the application or solution you want to create. For example, data on vehicle location, time and speed. Provide reports on traffic flow that will be used to manage traffic lights.

This can be applied to applications such as telemedicine, CRM, fraud detection, banking, and facial recognition.

A successful strategy, therefore, is a willingness to experiment and learn quickly. If business leaders are not stepping up their experimentation in the field of machine learning, they are not doing their job.

AI won’t replace business leaders over the next decade, but business leaders who use AI will replace those who don’t.

The benefits of AI include increasing efficiency through task automation, analyzing data for informed decision-making, assisting in medical diagnostics, advancements in autonomous vehicles, etc. The benefits are wide-ranging, streamlining, saving time, removing bias, automating repetitive tasks, and more.

As an added benefit, AI brings a range of benefits including increased efficiency, accuracy and productivity.

It automates routine tasks, optimizes processes, enables faster decision-making, and provides insights and predictions based on data analysis, resulting in better outcomes and results.

AI has risks. Some of the biggest risks today include consumer privacy, data protection, data integrity, biased programming, dangers to humans, and unclear legal regulations. AI relies heavily on computing in data centers, which can create its own carbon footprint and negative environmental impacts.

In conclusion, AI is not going to replace the need for a second brain anytime soon because no matter how powerful AI becomes, the data that feeds it needs to come from somewhere and the output of AI needs to be sent somewhere where solutions and applications are created.

Michael Jingo, Head of Commercial Banking at Centenary Bank



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