ai sector overviews Articles and Reports

Artificial intelligence “sector overview” reports are designed to help business leaders explore the possibilities and important AI trends across industries. Search our sector overview reports below:

Machine Learning in Radiology - Current Applications

Machine Learning in Radiology – Current Applications

It should come as no surprise that AI has found its way into radiology in a similar fashion to most other medical fields. Many AI vendors selling into the radiology field are just beginning to gain regulatory approval. We researched the use of AI in radiology to better understand where AI comes into play in the industry and to answer the following questions:

AI for Sentiment Analysis in Finance – Current Applications and Possibilities

AI for Sentiment Analysis in Finance – Current Applications and Possibilities

Some financial institutions have begun investing in departments that focus on artificial intelligence and machine learning applications that could determine their customer's sentiments towards market developments. These applications fall under the category of sentiment analysis. We have previously covered some of the top the machine learning applications in finance. In this report, we focus on AI-based sentiment analysis applications for the finance sector.

Predictive Analytics in the Oil and Gas Industry - Current Applications

Predictive Analytics in the Oil and Gas Industry – Current Applications

McKinsey reported that most oil and gas operators have not maximized the production potential of their assets. A typical offshore platform, according to the 2017 report, runs at about 77% of its maximum production potential. Industry-wide, the shortfall comes to about 10 million barrels per day, or $200 billion in annual revenue.

Natural Language Processing in Banking - Current Applications

Natural Language Processing in Banking – Current Applications

Our AI in Banking Vendor Landscape and Capability Map report details the state of various AI approaches and capabilities within specific banking functions, measuring them on their level of funding, evidence of ROI and adoption at large banks, and more. In this article, we discuss how and where banks are using natural language processing (NLP), one such AI approach—the technical description of the machine learning model behind an AI product.

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Natural Language Processing Applications in Finance – 3 Current Applications

Natural language processing, or NLP, is one AI-based technology that's finding its way into a variety of verticals. We covered the business applications of NLP in our previous report, and in this report, we intend to cover the technology's applications in finance more extensively. NLP might allow a company to garner insights that can be used to assess a creditor's risk or gauge brand-related sentiment across the web. We researched the space to better understand where NLP comes into play in the finance industry and to answer the following questions:

AI for Self-Driving Car Safety - Current Applications

AI for Self-Driving Car Safety – Current Applications

Allied Market Research estimated the value of the global autonomous vehicle (AV) industry to reach $54.23 billion in 2019, increasing to $556.67 billion by 2026 at an annual growth rate of 39.47% during that period. It follows that AI would find its way into the autonomous vehicle world. We detailed our own timeline for self-driving cars, pooling quotes and insights from executives at the top 11 global automakers.