Investing in AI boasts more benefits than risks
Posted by KR Sanjeev, CTO at Wipro
It’s hard to predict how AI technology will evolve over the next 10–20 years, but the potential for profits is huge . By 2018, robots will manage the work of more than 3 million people; by 2020, smart cars will be the main investment target for more than a third of corporate investment managers.
Many areas of business, from journalism to customer serviceAI is already being served, which can more accurately reproduce the actions of people and learn from our experience. What once seemed to be the technology of the future is already knocking at the door, and the only remaining question is how it will be introduced into the mass market.
Over time, the development of the industrial world, which now uses AI in the tail and mane, improving these developments in the process, will become more reliable and useful for a number of areas. Organizations that can afford to invest heavily in AI create a powerful impetus for even more companies to follow suit. Those who cannot afford it will have to occupy remaining niches, risking being left behind innovation.
Risk versus profit
Although someone may believe that it is impossible to predict what is more in the application of AI in business risks or profits, analysts predict that by 2020, 5% of all commercial transactions will be processed by stand-alone software agents.
The future of AI depends on companies willing to take risks and invest in it, regardless of possible difficulties, ready to conduct research on the technology and finance its continuous improvement. Some of them are already unknowingly investing in new technologies, like the company that for 6 years paid a total of more than half a million dollars to its programmer, and eventually found out that he automated his work.
Many of the developments in AI come to us from the military sphere. Only US government required$ 4.6 billion to fund drones next year to replace the drones currently in use, driven by unmanned humans. AI-controlled drones just need to set a destination, and they bypass air defense facilities and make their own routes, while people make "killer" decisions.
The logic is this: the risk of staying overboard is much higher than the benefits of a cautious approach to this issue.
Institutions such as the Massachusetts Institute of Technology and the University of Oxford are working hard to study the brain and simulate its work. There are two ways: the creation of AI that reproduces complex algorithms of the human brain or replica, which raises some ethical issues. For example, what rights should an AI have? And what happens when a server that stores a replica of a loved one’s brain crashes?
Although there are no answers to these questions so far, the obvious advantages of AI for all sectors of activity will force all major players in all sectors of the economy to use technology. Everyone should understand that, like any other technology achievements that have become an integral part of modern industry, artificial intelligence will also become an indispensable tool.
The future of computing
Until recently, AI meant creating pre-programming tools for specific tasks. And the functions were extremely inflexible. Similar AI-based schemes have already become generally accepted. The future of AI is self-learning. In other words, AI should no longer receive direct commands in order to understand what is required of it.
Now we are using GPS systems, which depend on an automated perception and learning scheme — mobile devices that can interpret speech and search engines that learn to interpret our intentions. It is programming that makes such developments as DeepMind from Google and Watson IBM the next step in the development of AI.
DeepMind was not pre-programmed: there are no specific programs or modules for specific tasks. DeepMind learns by itself. The system is specifically designed for generality, so that the end result is an independent property. Independent properties, such as the ability to beat Go grandmasters, are even more impressive when you realize that no one has programmed DeepMind for this.
As a rule, AI is very limited and can only do what it is programmed for, but the Olli- robot car from Watson- learns in the process of working and communicating with passengers. Each time a new passenger asks for a recommendation or destination, the car remembers information for working with the next person. New sensors are constantly being added, and the car (as a chauffeur-man) constantly “gets wiser” during work.
But will AI systems be able to do what companies such as Google expect from them: for example, is it better to predict user purchasing habits than what software is currently in use? Or dynamically optimize the production and marketing cycle based on past trends? This is where the real money lies, it is a much more difficult task than playing games, driving and performing repetitive actions.
What various AI platforms can do now, such aschoosing the most appropriate clothes or predicting health problems clearly suggests that AI is expanding and more complex tasks will be available in the near future.
AI will soon be able to imitate complex human decision-making processes, such as giving investment advice or prescribing medications to patients. In fact, given constant training, soon the first level support and dangerous work (for example, driving trucks) will be completely carried out by robots, which will lead to a new industrial revolution, and people will free up time to solve problems instead of performing repeated actions.
AI Abstinence Price
The advantages and risks of investing are vague, incomprehensible and are the subject of discussion. One known risk common to all innovations is uncertainty. That is, so far the risks are mainly associated with potentially unsuccessful investments, and this has long been not new in the world of finance.
Although these technologies are strange and new, everyone is of the opinion that the risk of staying overboard is much higher and more serious than the benefits of careful behavior in this matter.
Original: Investing in AI offers more rewards than risk