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Machine Learning in Investment Management and Asset Management – Current Applications

Asset and wealth management firms are exploring potential AI solutions for improving their investment decisions, and making use of their troves of historical data. In fact, according to our AI Opportunity Landscape research into the banking industry specifically, approximately 13.5% of the AI vendors in banking offer solutions for wealth and asset management.

Crowdsourced Sentiment Analysis - Applications in Social Media and Customer Service

Crowdsourced Sentiment Analysis – Applications in Social Media and Customer Service

Over the last 3-4 years, sentiment analysis has become a more and more common term - understood by marketers and businesspeople alike. The idea is simple: An artificial intelligence system that can detect the emotional “tone” or sentiment of a specific text document (as long as a book, or as short as a tweet).

White Collar Automation in Healthcare - What's Possible Today?

White Collar Automation in Healthcare – What’s Possible Today?

Episode summary: In this episode of "AI in Industry" podcast, we speak with Manoj Saxena, the Executive Chairman of CognitiveScale, about how AI and automation are being applied to white-collar processes in the healthcare sector.

Artificial Intelligence in India - Opportunities, Risks, and Future Potential

Artificial Intelligence in India – Opportunities, Risks, and Future Potential

Over the last two years, we have witnessed a steady increase in our percent of readership in India. Sometime in 2017, Bangalore became one of our largest sources of job applicants, and our single biggest city in terms of readers - overtaking both London and NYC.

Using NLP for Customer Feedback in Automotive, Banking, and More

Using NLP for Customer Feedback in Automotive, Banking, and More

Episode Summary: Natural language processing (NLP) has become popular in the past two years as more businesses processes implement this technology in different niches. In inviting our guest today, we want to know specifically which industries, businesses or processes NLP could be leveraged to learn from activity logs.

Robo-advisors and Artificial Intelligence - Comparing 5 Current Apps

Robo-advisors and Artificial Intelligence – Comparing 5 Current Apps

Robo-advisors are digital platforms that provide automated, algorithm-based financial planning services with little to no human supervision.

Artificial Intelligence in the Textile Industry - Current and Future Applications

Artificial Intelligence in the Textile Industry – Current and Future Applications

Garment and textile manufacturing have historically been labor-intensive industries, as seen in how many of world’s largest fashion, clothing and apparel brands seem to have a significant portion of their products manufactured in Asian countries such as China, India, Bangladesh, Vietnam, etc.

Artificial Intelligence in Supply Chain Management - Current Possibilities and Applications

Artificial Intelligence in Supply Chain Management – Current Possibilities and Applications

Supply chain management (SCM) is critical in almost every industry today - but it hasn't received as much focus from AI startups and vendor companies compared to healthcare, finance, and retail. Businesses are showing increased interest in AI applications, from its benefits to fully leveraging the vast amounts of data collected by industrial logistics, warehousing and transportation systems.

Emotional AI

Can Businesses Use “Emotional” Artificial Intelligence?

Episode summary: This week on AI in Industry, we speak to Rana el Kaliouby, Co-founder and CEO of Affectiva about how machine vision can be applied to detecting human emotion - and the business value of emotionally aware machines.

Cybersecurity in Healthcare - Comparing 5 AI-based Vendor Offerings

Cybersecurity in Healthcare – Comparing 5 AI-based Vendor Offerings

The healthcare industry is evolving into an increasingly digital environment, and as a result cybersecurity continues to be a top priority for protecting sensitive data such as financial records and patient medical records.