Discovering Customer Experience Trends with Natural Language Processing

Discovering Customer Experience Trends with Natural Language Processing

Understanding customer feedback gets harder and harder at greater scale and with a greater variety of channels through which customers can provide feedback. Businesses that seek to better grasp the sentiments of their customers might have to sift through thousands of messages in order to get a feel for what customers are saying about their products or services.

AI in the European Insurance Market - Predictions and Trends

AI in the European Insurance Market – Predictions and Trends

AI could play a major role in the way European insurers do business going forward. It may provide insurers new methods for collecting customer data that offer valuable insights insurers can use to attract and maintain customers.

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Computer Vision Applications – Shopping, Driving and More

Computer vision, an AI technology that allows computers to understand and label images, is now used in convenience stores, driverless car testing, daily medical diagnostics, and in monitoring the health of crops and livestock.

The Financial ROI of AI Hardware - Top-Line and Bottom-Line Impact

The Financial ROI of AI Hardware – Top-Line and Bottom-Line Impact

Episode Summary: At Emerj, we often talk about the software capabilities of AI and the tangible return on investment (ROI) of recommendation engines, fraud detection, and different kinds of AI applications. We rarely talk about the hardware side of the equation, and that will be our focus today. For hardware companies like Nvidia, stock prices have soared thanks to the popularity of new kinds of AI hardware being needed not only in academia but also among the technology giants. Increasingly, AI hardware is about more than just graphics processing units (GPUs).

Amazon Fake Review

Crowdsourced Content Moderation – How it Works and What’s Possible

As the web grows and we spend more and more time online, moderation becomes a bigger and bigger challenge. Content influences buyers, and businesses eager to gain the trust of those customers are likely to do whatever they can to win.

The Future of Advertising and Machine Learning - Audience Targeting, Reach, and More

The Future of Advertising and Machine Learning – Audience Targeting, Reach, and More

Episode Summary: Facebook and Google’s advertising complex is founded on machine learning, allowing people to self-serve their data needs across a broad audience. India-based InMobi is a company in the advertising technology space that delivers 10 billion ad requests daily.

Top 4 AI Startups in India - Comparing Their Applications, Teams, and Fundraising 1

Indian AI Startups – Comparing 4 Companies – Applications, Teams, and Fundraising

According to research firm Zinnov, India is the fourth largest geography globally in terms of AI talent pool. Zinnov’s research says India is home to more than 200 AI startups that attracted about $200 million+ funding in 2017. A few major companies that are implementing AI include Amazon, AIG, Equifax, Infosys and NVIDIA - all of which we've covered in depth in our recent "AI in India" research.

AI and Machine Vision for Law Enforcement - Use-Cases and Policy Implications

AI and Machine Vision for Law Enforcement – Use-Cases and Policy Implications

This article is based on a presentation at a joint United Nations / INTERPOL conference for law enforcement agencies held in Singapore entitled “Machine Learning and Machine Vision Cutting-Edge Trends and Implications in Law Enforcement” delivered by Emerj CEO Daniel Faggella.

Predictive Analytics - 5 Examples of Industry Applications

Predictive Analytics – 5 Examples of Industry Applications

Businesses today around the world have some portion of their operations being automated, which concurrently has meant that a lot of data about these processes is being collected (from sensors or internal company data etc). A combination of AI, big data analytics, and data science techniques seem to be a growing trend in many industry sectors, with predictive analytics being one of the most well-known.

Machine Learning for Credit Card Fraud - 7 Applications for Detection and Prevention

Machine Learning for Credit Card Fraud – 7 Applications for Detection and Prevention

In 2015, fraud losses on credit, debit, and prepaid cards issued worldwide reached $21.84 billion, according to a Bloomberg report. By 2020, Bloomberg predicts that this could grow by a rate of 45 percent.