Autonomous Vehicle Regulations - Near-Term Challenges and Consequences

Autonomous Vehicle Regulations – Near-Term Challenges and Consequences

Several car makers predict they will able to make true self-driving cars in the next few years - as we've covered in our recent self-driving car timeline article. This technology, though, is only valuable if there are plenty of roads these self-driving cars are legally allowed to travel on. Even if the technologies allow for true autonomy, without legal permission the self-driving cars are mostly worthless to individuals and companies.

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How America’s Top 4 Insurance Companies are Using Machine Learning

The insurance industry is a competitive sector representing an estimated $507 billion or 2.7 percent of the US Gross Domestic Product. As customers become increasingly selective about tailoring their insurance purchases to their unique needs, leading insurers are exploring how machine learning (ML) can improve business operations and customer satisfaction.

AI Use-Cases in the CRM - with Bastiaan Janmaat of DataFox 1

AI Use-Cases in the CRM – with Bastiaan Janmaat of DataFox

This week we speak with Bastiaan Janmaat (CEO and co-Founder of DataFox) about the current and future applications of artificial intelligence in the CRM.

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Artificial Intelligence for UX – Where Bots May Beat Out Brands

The following article about artificial intelligence for UX has been written by Paul Daugherty, Chief Technology and Innovation Officer at Accenture. Accenture is a Fortune 500 consulting and services firm with nearly 400,000 global employees. Editing and quotes added by the Emerj team. For information about our contributed material and publishing arrangements with brands, please visit our partnerships page.

Unmanned Aerial Vehicles (UAVs) - Comparing the USA, Israel, and China

Unmanned Aerial Vehicles (UAVs) – Comparing the USA, Israel, and China

While in previous decades military unmanned aerial vehicles (UAV) were very simple pieces of equipment, the technology has advanced rapidly. They are now used all over the world and are a multi-billion dollar industry. According to the Teal Group, current worldwide military UAV production stands at around $2.8 billion, and they project it will grow to $9.4 billion in 2025.

Artificial Intelligence in Sports - Current and Future Applications

Artificial Intelligence in Sports – Current and Future Applications

The North American sports industry is a cultural and economic staple generating billions of dollars in revenue each year. Spectator sports fall under the broader category of arts, entertainment, and recreation, representing 1.1 percent of the GDP in 2016. Artificial intelligence in sports may have been rare just five years ago - but now AI and machine vision are making their way into a number of sports industry applications, from chatbots to computer vision and beyond.

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Pharma Giant Understands the Consumer Concerns by Mining Online Forum Data

Technology Provider: Luminoso
User Company: C Space
C Space is a Boston-based agency that helps global firms better understand their customers and develop growth strategies. C Space establishes and manages online communities for its clients, garnering large masses of unstructured text in the form of forum posts, comments, and more.
Industries: Healthcare / Pharma
Applications: Text and Language Processing

Surviving the Machine Age - Technological Job Loss with Kevin LaGrandeur

Surviving the Machine Age – Technological Job Loss with Kevin LaGrandeur

Artificial intelligence is coming - should be worried about our jobs? Well, it depends. Our guest Dr. Kevin LaGrandeur spent the last two years researching the impacts of automation and artificial intelligence on society and the job market. In this interview on AI in Industry, we explore the near future of AI's impact on the world of work, and I ask Kevin some important questions, including:

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Machine Learning in Manufacturing – Present and Future Use-Cases

Major companies including GE, Siemens, Intel, Funac, Kuka, Bosch, NVIDIA and Microsoft are all making significant investments in machine learning-powered approaches to improve all aspects of manufacturing. The technology is being used to bring down labor costs, reduce product defects, shorten unplanned downtimes, improve transition times, and increase production speed.

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Artificial Intelligence in Oil and Gas – Comparing the Applications of 5 Oil Giants

Oil remains one of the most highly valued commodities in the energy sector. Estimates of total energy investment in 2016 tip the scale at approximately $1.7 trillion which represents 2.2 percent of the global GDP. However, as concerns over the environmental impact of energy production and consumption persist, oil and gas companies are actively seeking innovative approaches to achieving their business goals while reducing environmental impact.