AI Articles and Analysis about Business intelligence and analytics

Explore articles and reports related to artificial intelligence for business intelligence and analytics, including applications in forecasting, predictive analytics, text analysis, and more.

Ai for Lease and Contract Abstraction

AI for Lease and Contract Abstraction – Current Traction

The International Financial Reporting Standards (IFRS) and Financial Accounting Standards Board (FASB) have introduced new financial and accounting standards which require financial institutions to compile all their lease agreements and accounting reports electronically. These new standards may require significant changes to a financial institution's lease and contract management processes.

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.

Predicting Sales Propensity with Artificial Intelligence - Opportunities and Challenges

Predicting Sales Propensity with Artificial Intelligence – Opportunities and Challenges

Episode Summary: Prominent technology companies like Google and Amazon lead the way in the B2C world, having access to streams of searches, clicks, and online purchases. They have access to large volumes of consumer data points numbering in the billions that can be used to train machine learning algorithms.

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Automotive Repair Equipment OEM uses AI to Monetize Repair Service Data

Tech Provider: Predii - a company which specializes in building AI platforms designed for repair and maintenance services in the industrial equipment and automotive sector

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Natural Language Processing Applications in Finance – 3 Current Applications

Natural language processing, (NLP) is one AI technique that's finding its way into a variety of verticals, but the finance industry is among the most interested in the business applications of NLP. In fact, according to our AI Opportunity Landscape research in banking, approximately 39% of the AI vendors in the banking industry offer solutions that involve NLP. 

Drones for Agriculture - Current Applications

Drones for Agriculture – Current Applications

A recent PricewaterhouseCoopers study revealed that the global market for drone-powered business solutions was valued at $127.3 billion in 2016. For agriculture, prospective drone applications in global projects were valued at $32.4 billion.

Business intelligence and analytics

Explore articles and reports related to artificial intelligence for business intelligence and analytics, including applications in forecasting, predictive analytics, text analysis, and more.