Fox News' Eben Brown reports on how more companies are using A.I. technology to set retail prices based on data-driven supply-and-demand. Data science is an essential field within computer science and machine learning that uses statistics, algorithms, and technology to make meaningful analysis and predictions from large amounts of data. For instance, computer scientists often describe data science as an interdisciplinary academic field combining various tools within the computer science world to extrapolate information and meaning from large amounts of structured and unstructured data. Some of the biggest corporations and technology firms in the world have a wide variety of means for collecting and storing information related to their customers and products. Read below to learn everything you need about data science and how it relates to artificial intelligence.

If you've ever gotten a letter from a bank that explained how different financial issues influenced a credit application, you've seen explainable AI at work -- a computer used math and a set of complex formulas to calculate a score and determine whether to approve or deny your application. In making that decision, some data points were either more or less important. Maybe your long history of on-time payments or your low amount of debt contributed to your application's approval. Similarly, explainable AI shows humans how it arrived at a decision by evaluating different inputs in its calculations. While that might sound obscure or only relevant to the most hardcore data people, explainable AI brings significant business advantages that anyone interested in applying AI should consider.

AI in the mining industry can help increase productivity, reduce industrial waste, and enhance machine reliability!

As artificial intelligence has evolved, it has found its way into more aspects of our lives – from social media to digital marketing. How AI is transforming the future of digital marketing? In this blog post, we will examine 9 ways in which AI is changing how companies market themselves online. In today's competitive business environment where every businessman is trying to make their brand stand out from others. Marketing strategies play an important role here because it helps you reach people easily.

Artificial Intelligence is an often-misused term developed to describe any machine capable of making complex, intelligent decisions on its own. This differs from a machine able to mimic or repeat human decision-making. Since the 1940s, when Alan Turing devised his famous'Turing Test' for computer intelligence, artificial intelligence has become more and more of a reality. More powerful computers capable of assessing more and more data instantly have enabled the writing of'narrow' Artificial Intelligence algorithms. These algorithms have been capable of intelligent reasoning, but only when faced with a predetermined kind of task.

For at least a decade, big data has gone from buzz word to everyday vernacular. But in most corners of the commercial real estate industry, claims of big data usage have been little more than a marketing gimmick. This isn't because of the lack of data to work with. The sheer quantity of data commercial property owners and operators have at their fingertips is growing daily. The problem is that only a small subset of this data is utilized.

Predictive maintenance is one of the most exciting applications of digital technology in manufacturing. Simply put, predictive maintenance is the use of new and historical machine data to understand and, ideally, anticipate performance problems before they happen. Using sophisticated machine learning and AI techniques to analyze the data generated in the modern factory, predictive analytics can decrease downtime, optimize asset performance, and increase the lifespan of machines. The promises made on behalf of predictive maintenance (PdM) are big. Smart machines that flag performance issues before they happen.

For banking majors, credit risk has always been a challenging area, given the multiple factors that go into forming an individual's risk profile. For business borrowers, the process is even more complicated as data across a variety of parameters and time periods must be aggregated and analyzed to create a holistic picture of risk. And the stakes are extremely high for lending banks -- inaccurate assessments can cost organizations sizeable amounts. This is further intensified by sub-optimal underwriting, inaccurate portfolio monitoring methodologies, and inefficient collection models. Clearly, it is imperative for banks to adopt smarter models of credit assessment that can parse huge volumes of data in truncated timelines, dynamically altering risk profiles as per real-time data.

Heat, an advertising agency owned by Deloitte Digital, has launched Heat AI. The practice uses artificial intelligence to discover online trends that are predicted to grow in popularity 72 hours before they peak, with a self-reported 70% accuracy rate. The media buying side of advertising has already enlisted artificial intelligence to make planning and buying more effective and efficient. Bain Media Lab, for example, is leveraging computer vision models to more accurately measure the quantity and quality of commercials and sponsorships. The tech places over a billion tags of metadata on TV to identify logos and product placements, while scoring size, clarity, and location.

Heat, the full-service advertising agency possessed by Deloitte, started Heat AI, a model practice that uses artificial intelligence and machine learning to discover online trends and conversations and these are predicted to grow up in popularity 72 hours before they peak -- with 70% exactness. For the prediction of social trends, Heat AI's proprietary technology utilizes patented algorithms to grasp, combine and analyze 100 million posts every day from 50,000 sources, with social, news sites and blogs. Every half an hour, the platform performs 1 million multi-dimensional predictions so as to recognize the trends and keywords which will increase in engagement, notifying both keyword recommendations and creative. "Artificial intelligence has the potential to completely reinvent the advertising industry, but until now, no one has employed AI-derived predictive insights to develop impactful, emotionally resonant creative. Heat is changing that," said Jocelyn Lee, co-head of Heat AI and specialist leader, Deloitte Consulting LLP.