Future Opportunities In Artificial Intelligence


In the future, artificial intelligence (AI) is likely to revolutionize the world both marketing strategies and customer behaviors. 

These transformations might be best understood using three  cases from diverse industries:

  • Transportation industry 
  • Manufacturing industry 
  • Health care industry 


 In  the past decades, autonomous driving has gone from “maybe possible” to “definitely possible” to “now commercial use.” In December 2018, Waymo, a company from Google which is Google’s self-driving-car project, officially started its commercial self-driving-car service. Which it’s available only to a few hundred riders, and human safety operators will remain behind the wheel may be underwhelming but don’t erase its significance. People are now paying for robot rides.

“AI is going to make our lives better in the future.”

—Mark Zuckerberg, CEO, Facebook

Now that AI-powered cars are already available for consumer uses, promising to alter both business models and customer behavior. Taxi and ride-sharing businesses must evolve to avoid being marginalized by AI-enabled transportation models demand for automobile insurance (from individual customers) and fewer people will drive, especially after drinking will likely diminish, whereas demand for security systems that protect cars from being hacked will increase. 

Driverless vehicles could also impact the attractiveness of real estate. 

Tech giants like Apple, IBM, and Intel are looking to carve off their slice of the pizza. Countless hungry startups have materialized to fill niches in the ecosystem, focusing on laser sensors, compressing mapping data, setting up service centers, and more.

It’s worth remembering that when automobiles first started rumbling down manure-clogged streets, people called them horseless carriages. The moniker made sense: Here were vehicles that did what carriages did, minus the hooves. By the time “car” caught on as a term, the invention had become something entirely new. Over a century, it reshaped how humanity moves and thus how (and where and with whom) humanity lives. This cycle has restarted, and the term “driverless car” will soon seem as anachronistic as “horseless carriage.” We don’t know how cars that don’t need human chauffeurs will mold society, but we can be sure a similar gear shift is on the way.


AI and robots are particularly observed in industrial manufacturing as they revolutionize mass-production. Robots are capable of doing recurring activities, designing the production model, rising competence, building automation solutions, eradicating human error and delivering superior levels of quality assurance.

While humans are forced to work in 3 shifts for ensuring continuous production, robots are capable of working 24/7 in the production line. Businesses can be witnessed to expand in terms of production capabilities and meet the high demand of customers worldwide.

With several errors taking place in the manufacturing plant, a step towards AI means less human resources have to carry out dangerous and overly laborious work. As robots replace humans and perform normal and risky activities, the number of workplace accidents will decrease all across.

As AI takes over the manufacturing plant and automates boring and ordinary human tasks, workers will get to focus on complex and innovative tasks. While AI takes care of unskilled labor, humans can focus on driving innovation and routing their business to advanced levels.


Enlitic develops deep learning medical tools to streamline radiology diagnoses. The company’s deep learning platform analyzes unstructured medical data (radiology images, blood tests, EKGs, genomics, patient medical history) to give doctors better insight into a patient’s real-time needs.  

MIT named Enlitic the 5th smartest artificial intelligence company in the world, ranking above Facebook and Microsoft.

The brain is still the body’s most mysterious organ, but scientists and clinicians are making swift progress unlocking the secrets of cognitive function and neurological disease.  Artificial intelligence is accelerating discovery by helping providers interpret the incredibly complex data that the brain produces.

From predicting seizures by reading EEG tests to identifying the beginnings of dementia earlier than any human, artificial intelligence is allowing providers to access more detailed, continuous measurements – and helping patients improve their quality of life.

Seizures can happen in patients with other serious illnesses, such as kidney or liver failure, explained, Bandon Westover, MD, PhD, executive director of the Clinical Data Animation Center at MGH, but many providers simply don’t know about it.

Unikorn Staff
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