Why all business leaders must have training in AI

Ashok Tamhankar
3 min readJun 27, 2022

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Today, we live in an era of exponential growth in all aspects of society, particularly in technology.

As a result, as an essential component of this evolution, artificial intelligence (AI) has become increasingly present in people’s and organizations’ daily lives, becoming part of the routine of countless businesses as a foundation for process automation.

According to a recent study about the Leadership in the Age of AI, AI implementations already outperform the accuracy and productivity of comparable human activities in 45 percent of organizations worldwide. While this shift unavoidably raises concerns for leaders, it is critical to focus on the opportunities and understand how AI can empower human decision-making in the future. Deep Knowledge Ventures, a Hong Kong life sciences fund, appointed a computer algorithm to its board of directors in 2014, giving the program a vote on which start-ups to invest in.

What effect does it have on management?

The fuel for the twenty-first century is information. Businesses that want to stay ahead of the competition must manage these resources effectively, whether they are created or gathered.

Even if the information is plentiful, it is not humanly possible to analyze all of the data collected in the environment and seek insights.

It is critical to rely on outside help for this. Artificial intelligence holds enormous promise in business management, not only for information processing but also for automating repetitive processes and improving performance.

Humans can apply emotional intelligence, organizational expertise, critical thinking, moral judgment, and creative skills to business leadership and decision-making. The human brain, on the other hand, has limitations and innate biases that AI can compensate for by examining key facts. AI can now be used by business leaders to increase adaptability and support the implementation of innovative digital transformation methods within enterprises. It can uncover solutions to more complex and difficult strategic quandaries within an organization, which are frequently hidden in a plethora of data.

AI can provide factual information, likely outcomes, and projections to business executives to help them make informed, rational, emotion-free, data-driven decisions.

Advantages of your artificial intelligence for leadership:

Using artificial intelligence for company leadership has several advantages. Let’s go over some of the most important ones.

Information: Having privileged information based on several analyses carried out automatically by the chosen solution is one of the main benefits of using artificial intelligence in a company’s management.

Quick responses: Any change in the market environment in which the company operates can be quickly observed by the manager, allowing him or her to respond quickly to any risk or opportunity.

Data filter: Another exciting aspect of using AI by a company’s board is that it can act as an information filter, passing only what is relevant to the manager and preventing him from becoming buried in data that is irrelevant to his daily life.

Productivity: The company leader will be much better assisted in any of your decisions if you provide answers quickly and clearly, improving your productivity as well as the productivity of the entire organization.

Evolution: Using AI predictive analysis, the manager will test scenarios and visualize future possibilities. As a result, the company’s long-term development will be better planned by the leadership.

UAE is already keeping ahead of the game by providing training to the leaders to harness the power of AI as part of t’s strategy to become a world leader by 2031. Soon many countries will follow suit because despite the fear of people that automation and machines will take away the jobs, AI Is here to stay. Adopting to it is the only option to keep ahead of this scenario and competition.

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Ashok Tamhankar

Start-Up Enabler | Transform Businesses | BITS Pilani Alumni | Chief Product Officer | Analytics and Culture