A Brief History of AI

A Brief History of AI

John McCarthy invented Artificial Intelligence (AI) in 1956. It is the ability to carry out tasks through machines, a part of human intelligence. Arthur Samuel gave a new definition of artificial intelligence in 1959: “The ability to learn without being explicitly programmed.” Later in 1966, the first artificial intelligence chat box was created, named ELIZA.

Artificial intelligence is now a part of our daily lives and workplaces. It is controlling the employment of monotonous labor and supplementing our tasks. Some examples of these are the estimated price and arrival time of your Uber ride, the top suggestions at Amazon and Spotify, and more complicated customer service communications. An example of this is that a few companies measure the empathy of their agents. They monitor customer service calls to check how efficiently they deal with customer complaints. Humans can not interpret data and recognize patterns as efficiently as AI. Sundar Pichai, the CEO of Google, claims that it holds more significance than fire or electricity.

According to The McKinsey Global Institute, AI can produce a yearly amount of $3.5 -$8.5 trillion in the global economy. Even governments, which generally are ignorant of technologies, acknowledge the impact of AI. The government of America created JAIC (Joint Artificial Intelligence Center) to combine its research on artificial intelligence and AI development to implement AI tools speedily.

Created and Lost Jobs

When talking about AI jobs, fear of loss of employment and difficulty finding workers compatible with AI arises. “Towards a Reskilling Revolution,”a report from The World Economic Forum stated that almost 40% of employers met difficulty when looking for ‘skilled talent.’ Since 2015, the number of retraining employers working on skill development in people has increased by 50%. Investment requirements are growing with increased automation driving change and AI to help employees learn and reskill efficiently. AI and corporate learning are often
seen as valuable, and today, we use them both together in the AI world.

Corporate Training and Artificial Intelligence Learning platforms are a reflection of the prosperity of consumer content platforms, including Netflix and Spotify. This is a result of the global corporate training market as it goes beyond $300 billion. A change can be noticed as organizations shift from the typical LMSs (learning management systems), which were initially used and designed for human resources, to LEPs or LXPs (learning experience platforms) to provide a fast-paced, remote, and digital work environment.

LEPs are mimicking the positive abilities of consumer-content platforms. The concept is similar to Spotify, which suggests playlists based on your interests that are accessible wherever you go. To collect data and customize data, LXPs utilize machine learning, artificial intelligence, and experience API.

Undoubtedly, jobs will become limited due to automation and AI. However, employees can be taught and reskilled for their new positions by LXPs using AI. Furthermore, LXPs audit content, using many sources to deliver it according to the skills, interests, background, behavior, and individual preferences.

The Future of AI in the Workplace

This is the best time to upgrade ourselves to the development and learning of artificial intelligence. The expected percentage of millennials in the workforce by 2020 is 75%. 87% of this workforce emphasizes the importance of career growth opportunities and professional development, as Gallup research stated. Since most of the future crew is expected to look forward to professional development, businesses are ready to teach new skills and provide
opportunities to attract and hold on to potential employees. AI will meet millennial learners’ demands and retrain employees who become jobless due to artificial intelligence by quickly analyzing learning data.

AI will help meet millennial learner’s teaching speed and carry out data analysis to retrain

employees.

January 8, 2021
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