Despite several opinions and perspectives, AI is being deployed in every sector of the global industry!

The advent of the steam engine in the 17th century ushered in an era when machines replaced human muscular power. The second machine age, driven by artificial intelligence (AI), has the potential to replace humans in areas where they are superior to all others, such as intellectual capacity. Elon Musk, the CEO of Tesla and SpaceX, has identified artificial intelligence as humanity's greatest existential danger. In addition, the late Stephen Hawking raised concerns that future advances in AI "could mean the end of the human race." Or, as Yuval Noah Harari, a well-known author, puts it, "AI will create a worthless class" of humans. These concerns stem from groundbreaking discoveries in the field of machine learning, in which technology is augmenting (and even replacing) human intelligence.

Despite these reservations, AI is already used in nearly every sector, business, and even everyday activity. It is already assisting company leaders in automating business operations, obtaining insights through advanced data analytics, and interacting with consumers and workers using natural language processing chatbots. The application of artificial intelligence (AI) has aided in the diagnosis, creation of vaccinations, and treatment of the Covid-19 pandemic. As a result, the need of the hour is to improve human skills with the help of these intelligent robots while striving to keep apprehensions at bay. As a result, every organization's CEO will need to learn how to smoothly integrate this "machine" workforce with "human" workers. The following abilities may be useful:

Adaptability: In the virtual world of data, the rate of technological innovation is matching the speed of light, and product life is growing shorter by the day. Smartphones have a relatively short product life cycle of 12 to 24 months. To keep his organization ahead of the curve, a leader must adapt to the rapid speed of change and employ technology.

Emotional Intelligence: We now outperform robots in terms of emotions and empathy, even though AI-enabled machines are rapidly catching up. The capacity to control one's emotions and connect with other individuals gives a leader a distinct edge in situations where success relies on influencing others.

Data Vision: Every day, 2.5 quintillion bytes of data are produced, and this number is increasing as the Internet of Things expands (IoT). Machines outperform humans at identifying patterns in data and presenting them in interactive dashboards. To carve out an effective business strategy, vision, and purpose for the organization, leaders must establish a data vision to detect signals from noise in data utilizing dashboards. Mapping, mining, preparation, modeling, analysis, assessment, and implementation of data solutions are all common steps in the process. Given AI's capacity to analyze and calculate far more data than humans, Deep Knowledge Ventures (DKV), a Hong Kong-based venture capital firm, made history in 2017 by appointing the world's first AI robot to its board of directors. DKV has opted to wait for Vital's permission before making any positive investment choices.

Innovation: Long-term success of a company has always depended on its ability to innovate. To enhance productivity, engage consumers and workers, improve service delivery, and optimize business processes, innovation must be 'innovated' in this era.

Judgment: The significance of anticipating the next market change or creating a fantastic product, as well as making sense of many elements, cannot be overstated for any company leader. Artificial intelligence (AI) is increasingly being used to capture market patterns and forecast upcoming trends. In machine-assisted decision-making, however, a leader's judgment becomes even more critical. The AI system is beauty.  AI, which was employed to judge an international beauty contest, became an embarrassment when it chose the winners exclusively based on skin color. Before deploying the model, a leader must verify that bias-free data is utilized for machine learning and that the findings are fully evaluated.

Keeping an Eye Out for 'Fake' Data: Deep-fake, a subfield of machine learning, uses neural net simulation to produce a 'fake' by applying it to huge data sets. Jordan Peel, an American comedian, utilized cutting-edge AI techniques to produce a false film of Barack Obama criticizing President Donald Trump to illustrate the dangers of AI misuse. One might envision the ramifications of such deception in a culturally varied nation like India, where deep fakes can be exploited to sow discord among religious groups. To avoid any negative consequences, a leader must be aware of such false information.