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Resolving Business Challenges through AI Automation
AI and automation are the terms increasingly being used in businesses today. Through their software applications, both AI and its automation technologies have completely disrupted and are continuously evolving in the technology market offering some key benefits such as reduced human efforts, improved efficiency in business functions, and diminishing costs. This pairing of artificial intelligence with automation is the automation continuum or intelligent Robotic Process Automation. In addition to that, the major components of the combination are machine vision, natural language processing (NLP), and machine learning.
Machine vision is an essential function of the AI which refers to the ability of an application to recognize visual inputs. The face recognition facility of the iPhone X is the best example for the machine vision technology. Apple’s Siri, Google Assistant, and Amazon’s Alexa are the best known AI platforms that use natural language processing systems to understand the human language or voice. Machine learning, as an ability of a machine to learn from data inputs, is used in various business streams such as healthcare mainly.
As most of the businesses going through their phases of digital transformation at all levels, the data management has become an integral part. According to an IDC report, the amount of data that the organizations create will be about 44 trillion gigabytes by 2020, and another survey by IDC states that the global spending for AI is expected to reach $77.6 billion by 2022.
AI is not just any technology; its applications work as value-added tools for organizations. Automating smart customer care services via virtual chatbots, using AI to optimize traffic management, employing AI- assisted robotic surgery assistance, and even predicting network exploitation for safety networks are some of the significant examples to understand how AI has added value to the industry.
As the automation with AI applications continues to make changes in the world of business, the buzz surrounding these platforms will make huge impacts on their productivity. The future is not too far; organizations are waiting to have a completely automated world that helps humans with technologies like machine learning algorithms that can resemble a human expert.