How Machines and Humans Can Work Together

We use devices every day that incorporate artificial intelligence (AI) – to the point where certain actions, like communicating with digital “assistants,” have become second nature. But entertainment has also conditioned us to fear AI as a form of perfection that we humans can never match. Books and movies tell us that AI will not only replace our jobs, and by extension, our livelihoods – it will eventually replace us, too.

While there is historical precedent for job loss following adoption of new technologies, experts insist that we should not be looking at AI as ‘machine versus human,’ but rather as machine plus human. Augmentation and enhancement of human abilities, exemplified by the concept of Hybrid Intelligence (or HI), is the future.

HI is defined by the idea that human and machine intelligence can work harmoniously together in pursuit of a common goal. This hybridization would effectively harness each party’s strengths while minimizing their weaknesses, creating outsized positive effects on major environmental, social, and even financial problems that have long plagued society.

Innovation on a mass scale tends to start in the business world, where investment and profit motive drive creativity. Tickeron is a startup with AI and hybridization at its core.

The Tickeron platform combines human analysts and machine learning to help investors make smarter, research-based and data-based investment decisions. In short, the company is attempting to combine algorithm- and analyst-driven approaches to improve investment results.

This approach achieves the best of both worlds by using humans to aggregate analysis and leveraging the power of AI to perform predictive models. Machine learning is entirely data-driven, which limits its ability to observe outside of that realm, while humans can deliver insights beyond hard data – intuition is not something that machines are currently able to replicate. Machines, however, have predictive abilities that far exceed humans, driven by the ability to evaluate millions of possible scenarios in seconds. Tickeron is betting that the combination of human and machine can be greater than the sum of its parts.

The idea that humans and intelligent machines can have a cooperative relationship is filled with potential. Research has shown that new technologies lead to initial job reductions, but often produce more jobs over time as industries and use cases develop. A world with AI and HI is in its nascent days, but it’s not difficult to imagine the benefits of hybridization. Humans aren’t replaceable – and with AI, humanity stands to produce its greatest innovations yet.
 

Interested in How Artificial Intelligence Can Enhance the Investment Process?

Hedge funds and large institutional investors today are using Artificial Intelligence to analyze large data sets for investment opportunities, and they have also unleashed AI on charts to discover patterns and trends. Not only can the AI scan thousands of individual securities and cryptocurrencies for patterns and trends, and it generates trade ideas based on what it finds. In this sense, hedge funds have had a distinct advantage over retail investors for some time now.

Not anymore! Tickeron has launched a new investment platform that allows everyday users to unleash the power of AI in the markets. Tickeron’s platform is designed to give retail investors access to sophisticated AI for a multitude of functions:

• Finding stock patterns in the market
• Finding trends in the stock market
• Testing portfolios to see if they are well-diversified
• Back-testing statistics to see how different stock patterns generated trading results
• Making Predictions for price movements in the future, with “A.I. Rank” and level of confidence in the trade.

And much more. No longer is AI just confined to the biggest hedge funds in the world. It can now be accessed by everyday investors. Learn how on Tickeron.com.

Contributor

Allana|Expert

Financial analyst and market blogger with expertise in equity research, fundamental analysis, and macroeconomic trends. I regularly publish coverage on individual stocks, ETFs, and sector developments — combining rigorous financial analysis with clear, engaging writing for a broad investment audience.