From mass surveillance into mind reading machines, every new day seems to bring another alarming prediction about the potential of artificial intelligence to change the entire world. However, we do not pay enough attention to the technical AI applications which are in use every day. These real world applications are not futuristic or creepy. You may call a few of them dull. However they supply value for business and consumers, plus they are not leading us to impending doom. AI does have the capability to change our planet. Nonetheless, it isn’t going to do that via computers or sentient robots that take control away from humans.
The AI applications that we see will be more frequently augment human action compared to replace it. As we continue to see increased computing power and also a much more connected world AI technology such as natural language processing, computer vision, and particularly machine learning will proliferate and become much more useful. Those are the practical applications of AI which will improve our lives. Natural language processing. Today you’ve access to AI right in your pocket. I am able to ask my mobile phone what the temperature is outdoors or what time the grocery down the road will close for the day.
My phone understands my question, accesses the answer on-line, then answer my question in my language. The capability to interpret and process language is a rapidly growing use of AI. Outside of personal use on our phones, natural language generation can provide a context for the results you see in a document, explaining the outcome of a machine learning models or asking whether you want additional scans. These verbal explanations could make complicated analytics accessible to more individuals, even when they do not have a deep history in analytics. Natural Language Processing also powers chatbots that provide info to customers online.
Should you go to sas.com and select to chat, we are using our own technology to engage with our customers. We have live, human chat representatives. However, for lots requests from people, a pc might provide automated responses. That frees up our chat staff to concentrate on more complicated questions. Computer vision. Another means to demonstrate AI is via computer vision. This method carries on to discover new and advanced use cases. Doctors are using computer vision to measure and classify tumors on clinical pictures. Conservationists are using computer vision to analyze pictures of animal footprints to help monitor endangered species without invasive tags.
Obviously, computer vision is critical for self driving vehicles, including automobiles and industrial vehicles utilized in plants and warehouses. Many businesses are pioneering vehicles which Use computer vision and sensors to seerdquo, the planet around them. The technology gives the vehicles 360 degree views, with lasers which detect objects up to hundreds of meters away. Computer vision is powering the future of retail, in voucher to visual style recommendations to predicting demand.
Machine learning. New applications of AI and analytics have the capability to alter virtually every aspect of every organization. Take anti money laundering technology. Hundreds of organizations around the world use AML to help identify illegal or problematic financial transactions across the world. By adding AI and machine learning to present AML technology, we have seen a reduction of false positives by 50% to 70 percent. Which means fewer transactions for intervention, leaving staff to concentrate more on cases which are harmful to the company and its customers. A number of my favored AI use cases have this exact same element to make humans more effective.
AI and machine learning may improve and augment important work that is already being done around the world. They take what already works and make it better. Lots of men and women ask which machine learning models should be used problems. Let us review four types of machine learning models and describe some situations by which they’re commonly used. Neural networks. In the financial world, neural networks are helping investigators find and stop fraud by trends across millions of transactions. A German insurance provider, ERGO, is currently using predictive analytics from SAS to find unjustified claims. Customers also use networks in their own buildings to optimize energy consumption and predict failures.
Decision trees. Throughout the use of decision trees, we have helped quickly growing North Carolina, Wake County, make land tax assessments fairer and more precise. We’re working with lots of tax jurisdictions to discover tax fraud and find citizens who’ve underdeclared their earnings. Regression methods. Regression approaches are a practice that is tried and accurate, plus they’re finding new life from the AI era. We may Use this technology to better understand your target markets. For government agencies, regression approaches will help identify fraud and waste. For banks and financial services firms, it can result in better risk assessments and make the basis for an adaptation, more precise money laundering program.
Forecasting allows government plans to account for changes in populations and comprehend how these changes affect government agencies. From the electrical generation industry, firms are continuously monitoring the grid and examining weather data to do certain the power is there whenever you need it. Eni, an energy company, uses SAS predictive analytics to control, clean, and organize geologic nicely data. This helps Eni automate and refine its oil exploration procedure. Lots of factors are driving the hype and interest in AI: the world wide web, the digitization of analogue data, the increased use of images and videos to communicate, the internet of things, and our capability to capture and store this data with cloud technologies. After over forty years of developing and implementing analytics applications, I’ve a positive view of technology and its ability to augment and enhance our human potential. While AI will interrupt and change specific jobs and businesses, we as humans have the fascination and passion to direct them strong technology to attain what was once impossible.