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.

Applying Artificial Intelligence in B2B and B2C - What's the Difference?

Applying Artificial Intelligence in B2B and B2C – What’s the Difference?

We discussed the difficulties large businesses may have in adopting AI in our previous article; despite this, last month we fleshed out the reasons why it’s still more difficult for small businesses to apply AI than the enterprise and how they might catch up to larger businesses in the future.

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Online Education Company Improves Customer Support with Autosuggestion of Macros

Technology Provider: DigitalGenius is an artificial intelligence solutions provider for customer service operations.

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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

Bridging the Data Science Gap – Why Subject-Matter Experts Matter

Bridging the Data Science Gap – Why Subject-Matter Experts Matter

Episode Summary: For business leaders who are thinking about integrating AI into their company or who are just in the very beginning of that journey, this may be a useful episode of the podcast.

How Machine Learning Could Help CPG Companies Beat Out Their Competitors

How Machine Learning Could Help CPG Companies Beat Out Their Competitors

Episode Summary: One of most fun parts about doing our geolocation pieces at TechEmeergence is that we are able to interview so many people within a given country or city. Recently we did a huge piece on AI in India. We got to interview folks from the government and the bigger existing businesses, as well as a handful of people at the unicorns in Bangalore.

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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.