Often, it is said that AI will replace the human workforce. But the reality is far off the mark.
If you ask Apple's Siri, Amazon's Alexa, Microsoft's Cortana, and Google's Google Assistant to tell you a joke, they will give their best to make you giggle and wince. But have you tried telling them about a gag in turn?
AI assistants will never get jokes as humans do. Jokes rely heavily on real-world, background, and common-sense knowledge. But AI assistants draw conclusions from what you tell them. They lack real-world experiences to draw on. Therefore, creative language, especially humor, is one of the challenging areas in computer intelligence to grasp.
Similarly, the question will Bots replace human writers buzzed around for quite a long time. Would you be shocked if you came to know that Forbes uses Quill to write earning reports? All you must do is feed the bot with the facts and data. It will churn out these reports. You won't be able to find a single mistake in the report. But what's missing is that humane touch!
Then why are we considering AI if it can't steer our plans? Let's be honest! To simplify our day-to-day tasks!
The dominance of AI is clear across various industries. It has rapidly changed the way businesses run.
Some popular AI applications are:
- Marketing chatbots
- Social media monitoring
- Manufacturing bots
- Report generation
- Self-driving cars
- Smart assistants
- Virtual travel booking agents
- Automated financial investments and many more.
- Experience.
- Subject matter expertise.
- A suitable work culture fit.
- Adding value to the business.
- Capability to bring something novel to the table.
- Screen thousands of candidates' applications through an Application Tracking System (ATS).
- Recommend career opportunities through personalization.
- Assess candidates' suitability with the help of interview analytics and Natural Language Processing.
- AI-powered background and reference checking.
- Create personalized recommendations for internal candidates for open positions in an organization with the help of NLP and pattern recognition.
- Find the team's talent gaps through data analysis.
- Onboard recruits and address their concerns about the process through AI-powered chatbots.