However, it is difficult to say how exactly AI will be used in the future and what will be all possible applications for the next decade, AI and in-depth learning should eliminate tedious daily business tasks. With continuous development of AI technologies, the car will only become more agile and faster. The sooner it changes, the better, because the commercial benefits of artificial intelligence are numerous. However, if you plan to apply AI technology to your business, the first step would be to discover opportunities and identify long-term and short-term business strategies, before properly implementing this emerging solution.
Artificial intelligence has already become a remarkable economically fashionable word. As a feature of software and physical agents, artificial intelligence gives them the ability to act, wound measuring tool react and understand language, and surpass humans in unique tasks. Artificially intelligent agents are dynamic because they use contextual data to learn and adapt to new situations.
According to Gartner, IA will be one of the top five investment priorities for more than 30% of IDS worldwide by 2020. Many organizations are still at the start of their data science journey and are trying to understand how AI can transform their businesses. Artificial intelligence is the simulation of human intelligence processes by machines, in particular computer systems. With certain limitations, machines can be programmed to learn, reason and correct themselves to make more precise decisions. This is a key growth factor for businesses in all industries and allows businesses to identify and correct weaknesses, build on strengths and improve the current skills of their teams.
There are many commercial PNL applications, internal collaboration solutions to database searches, content management for online customer service and electronic commerce. AI can do jobs with significantly better accuracy and speed than humans, from automating various fields of activity to forecasting data trends, revolutionizing not only what organizations and managers can do , but also how they do it. Catbots, smart voice assistants and conversational AI are revolutionizing customer experience in health care, finance, retail and travel. Meanwhile, a multitude of new automatic learning applications allow companies to perform an in-depth analysis of critical internal data to modernize their operations. The Gartner IT consulting firm also predicts that by 2020, at least 75% of security software tools will include predictive and normative analyzes based on heuristics, artificial intelligence capabilities, or automatic learning algorithms.
GE used this technology to integrate supplier data and saved $ 80 million in its first year by eliminating layoffs and trading contracts that were previously administered at the commercial unit level. Likewise, a large bank used this technology to extract data from supplier contract terms and combine it with invoice numbers, identifying tens of millions of dollars in unsupplied products and services. Deloitte’s audit practice is to use cognitive information to extract the terms of the contracts, allowing an audit to process a much larger proportion of documents, often 100%, without human auditors having to read them carefully. Information technology no longer concerns only process automation and the logic of coding. Instead, understanding is the new currency, and the speed at which we can evolve this vision and the knowledge it brings is the basis for value creation and the key to competitive advantage.