The modern era of technology and computerisation has made us neglect the human intellect and emotions. AI is evolving – and seemingly unchecked. Its supporters highlight promising advancements in customer service, data processing, and decision-making.
On the other hand, detractors are quick to point out the wide-ranging effects of job loss and the concern that eventually, machines will make human abilities unnecessary. AI has now become an unavoidable advancement. AI supporters promise advancements in customer service, data processing, and decision-making. Contrarily, critics are focusing on the bigger impacts of technological advancement, worrying about the fact that AI is going to make human abilities obsolete over the next decade.
Merging AI and EQ for experiences people want next
AI begs the question of – are robots going to take over and automate our occupations? The answers to this question and similar lies in our emotional quotient (EQ). This serves as a proxy for emotional intelligence (EI). EQ is the ability of a person to identify, comprehend, and control their own emotions and feelings, as well as those of other individuals, and to influence them.
The individuals who will be capable of merging AI with EQ will have the best intelligence and success. They will be able to stay relevant in their professions if they cooperate with their colleagues and focus on their skills and capabilities to identify how artificial intelligence can replace their emotions and feelings. A smart machine can point out complicated business issues and suggest solutions to help an organisation. However, human beings are the best when it comes to tasks like motivating the teams, keeping political issues away, and selecting astute individuals to spearhead change. AI can give businesses unheard-of advantages like instant calculations and more detailed data processing than human minds. However, it fails to identify and understand emotions, which humans can do through their emotional intelligence.
Future businessmen can take great advantage of EQ by merging it with AI to enhance the customer experience and increase their profit margins. Some ways of doing so are:
1. Accepting the use of AI and appreciating it
Ignoring or avoiding the development of AI is of little use to both workers and businesses. Today, businesses can make great use of practical AI applications depending on what their company needs and find some business intelligence insights from the data they have collected using these applications.
For example, at a live conference, an AI engine is constantly collecting data from all the cameras and analysing mood signals to define patterns with schedule, floor location, crowd, food etc. It can generate real-time dashboard how happy-or-upsetting the conference is across the board? Organisers can immediately act to address the situation on the floor before it’s too late to convert the attendees mood index results which can also hit feedback score and future engagements.
Companies need to incorporate AI into their daily tasks to provide insight and automation to their employees for performing operations like social data mining, boosting customer relationship management, and streamlining logistics and asset tracking and management processes. In order for employees to understand how AI augments rather than replaces their functions, companies should be open about how the technology is used to fix problems in a workflow.
2. Identifying your current EQ position is important
To succeed, leaders need to connect with their teams, and EQ allows them to better understand their own emotions and those of who are around them. AI, meanwhile, can provide valuable insights into data, allowing leaders to make more informed decisions. AI can also help leaders better understand their team members and their emotions.
By combining the strengths of EQ, AI, and leadership, leaders can more effectively lead their teams and help them reach their goals. For example, a manager may utilise AI to look at employee performance data, at an individual as well as holistic levels at an organisation, to spot patterns in their actions that may be attributable to how they’re feeling. It would therefore be possible for the leader to use EQ to comprehend the team members’ sentiments and how those sentiments inform their actions.
Based on this information, the leader can modify their approach to better encourage and inspire the team to achieve their objectives which eventually will also help increase in sales and revenue.
3. Investing in EQ learning programs along with AI applications
Companies spend a lot of money on AI tools, but EQ learning projects also need investment, as scientific evidence has proven the association between EQ and job performance, and in the future, this bond will only become stronger. Training could significantly increase the productivity and job happiness of low-EQ individuals today and result in enhanced customer experience.
It may be easy to identify a worker with low EQ. AI-driven tools like NLP, sentiment analysis, voice, text, and visual intelligence and analytics can be leveraged to study employees’ words, tone, behaviour, attitude, and expressions, can help determine and predict employee actions. Artificial intelligence can analyse these discussions and compare them to a set of criteria designed to assess emotional intelligence to determine if an employee is demonstrating a lack of EQ.
4. Adding emotional intelligence (EQ) to AI tools and technologies
A few broad-minded companies are already making their attempts to inject high EQ into AI products before they are made public. For instance, Amazon and Google have employed human comedians and scriptwriters to help them develop cutting-edge chatbots.
Businesses’ best interests lie in proactively and wisely identifying problem areas. Simply developing AI while ignoring a focus on EQ can lead to terrible consequences. One such example of this is Microsoft, which recently released a chatbot but suspended the bot shortly after it went live because it could make offensive and racial statements. Unexpected and bad circumstances must not be accepted.
Businesses that use both AI and EQ tend to be the most successful in the world. AI and EQ coexisting together are the two “superpowers” of the present and future business world. The development of AI tools has taken a lot of human time and energy. Therefore, today we must spare some time to realise how much pressure AI is putting on us to develop much greater emotional intelligence in order to not be replaced by it. We need it for the accomplishment of both our personal and professional goals.