Humans make a lot of great decisions based on hunches, like detectives who solve cold cases by tracking down unlikely suspects and baseball scouts who pluck future all-star pitchers from minor league obscurity.
Falon Fatemi, founder of the augmented intelligence platform Node, built a company based on the idea that instinct can also be analyzed and adapted into code.
During her formative years in the tech industry, she facilitated meetings between people shed met based on her intuition. A tally of the meetings results shocked her. Shed cultivated partnerships that led to millions in investments, successful hires, marriages, and a merger. These days, Fatemi wants to scale up that successful process using Nodes AI to help other professionals hire better, drive sales, and foster partnerships.
Nodes machine learning is powered by artificial intelligence, but relies on an evolved version of AIartificial intuitionto help businesses make smarter decisions.
Whats different about intuitive algorithms? As futurist Maurice Conti says in his TED talk The incredible inventions of intuitive AI, new computer programs are becoming less like Star Treks Spockfocused on logical thought and more willing to rely on gut instinct like Captain Kirk.
But most companies arent worried about navigating the frontiers of the universe. In a more down-to-earth example, a business can use a platform like Node to help find more prospective clients like your best customers, without ever having to define what best means, said Fatemi.
Consider this case study. Within minutes of meeting a potential customer, a car salesperson has a hunch theyll become a buyer. When that hunch turns out to be true, the dealership may ask the salesperson for tips on putting together an ideal customer profile. But what if the salesperson is unable to offer specifics that can be plugged into an algorithm?
Using Node, a business can enter general information about their best customers, hires, or markets and the artificial intuition will connect the dots, working out the characteristics that create the best fit for the company. The system may even sense when a disengaged employee might be ready to look for a new job, which can in turn help leaders understand the needs of their workforce better and focus on retaining talent.
The system, modeled on human intuition, learns and evolves as it receives new data.
The technology begins to teach you. Weve seen a variety of use cases where the system was able to use that data to uncover new markets of opportunity, seeing into the future to identify and intuit which products would work better in which markets, Fatemi said.
Computer intuition can even make some of the most tedious chores, like scheduling and trip planning, easier. In response to a competition organized by the International Conference on Automated Planning and Scheduling, researchers from MITs Computer Science and Artificial Intelligence Laboratory adapted the problem-solving strategies of MIT students into an algorithm to tackle scheduling challenges. The result is perceptive software that improves on previous attempts by 10 to 16 percent.
See more here:
Can a computer have intuition? - Verizon Communications
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