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Explore our analyst articles on the impact of AI across industries

Artificial Intelligence at Square

Artificial Intelligence at Square – Two Use-Cases

Square is a financial services company that aims to “build common business tools in unconventional ways so more people can start, run and grow their businesses.” Founded in 2009 in San Francisco by Twitter Co-Founder Jack Dorsey and Jim McKelvey, Square reports total net revenue of $9.5 billion for 2020.

Artificial Intelligence at Amazon

How Amazon Uses AI in eCommerce – Two Use-Cases

Amazon is the largest online retailer in the world by market cap. Founded in 1994 in Seattle, Washington, as a book-selling platform, Amazon has become a household name offering a wide variety of products and services. As of 2020, online retail product sales account for most of the company's net revenues, followed by third-party retail seller services, Amazon Web Services, and subscription services.

AI at Walmart

AI at Walmart – Comparison to Amazon, and Two Unique Use-Cases

Sam Walton opened his first Walmart in Rogers, Arkansas in 1962, capitalizing on his twelve years of success running Walton's 5&10 in downtown Bentonville seven miles down the road. Walton founded his company on the idea that retail could succeed by offering great value and great service. His competitors thought his idea was doomed to fail. Today, almost sixty years later, Walmart has transformed itself into a multinational corporate supergiant ranked as the largest company in the United States by gross sales in 2020, according to the Fortune 500.

AI at Apple

Artificial Intelligence at Apple – Two Current Applications

Founded by Steve Jobs, Ronald Wayne, and Steve Wozniak in 1976, Apple is a global technology corporation specializing in consumer devices, software, and online services. 

AI for Fraud Detection in Retail

AI for Fraud Detection in Retail – 2 Powerful Use Cases

Leading retailers - like Walmart, Stop & Shop, and Home Depot - are enhancing their payment and fraud detection systems, using artificial intelligence that learns transaction norms and infers risk from the context of each transaction.

More From Consumer goods Articles
Artificial Intelligence at Airbnb

Artificial Intelligence at Airbnb – Two Unique Use-Cases

Airbnb started with two roommates, three air mattresses, and expensive San Francisco rent. In late September 2007, Joe Gebbia hatched the idea to Brian Chesky: rent out air mattresses to young designers in town for a conference. They would include internet, a workspace, breakfast, and a roof over their heads.

Artificial Intelligence Toys for Kids

Artificial Intelligence Toys for Kids – Current Products and Categories

The business world has been talking about AI for several years now, and it's safe to say that it's reached a certain cultural moment among executives in areas like banking, insurance, and pharma. Government leaders have been much slower to start the conversation around the capabilities of AI, including the possibilities they offer to militaries and the ethical implications of AI when it comes to governance and the legal system.

AI in Taste and Art – The Current State of Machine Learning for Understanding Preferences

AI in Taste and Art – The Current State of Machine Learning for Understanding Preferences

Artificial intelligence and machine learning have fueled technological innovations in marketing, eCommerce, and several other industries. Many people experience the benefits of AI and ML systems without even knowing it every time they search on Google or click on a song in Spotify.

Artificial Intelligence in Gestural Interfaces - Possible Near-Term Applications

Artificial Intelligence in Gestural Interfaces – Possible Near-Term Applications

Gesture-based interfaces are applications that allow users to control devices using hand and other body parts. Today, they are found in devices used in home automation, shopping, consumer electronics, virtual reality and augmented reality gaming, navigation, and driving, among others.

Artificial Intelligence for Video Search and the YouTube of the Future

Machine Learning for Video Search and Video Education – How it Works

Episode Summary: AI, specifically natural language processing, has made it easier to understand text as a medium in a deeper, more efficient way and at scale. With video, the situation is quite different. AI is already being used to help industries that work in the video medium. However, searching for content within videos is more challenging because video is not just voice and sound, it is also a collection of moving and still images on screen. How could AI work to overcome that challenge?

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Artificial Intelligence at Oracle

Artificial Intelligence at Oracle – Two Current Use-Cases

Founded in 1977 by a team of engineers led by Larry Ellison, Oracle became the world's largest database management company by 1987. Today, Oracle claims a long list of innovations including:

Artificial Intelligence at Square

Artificial Intelligence at Square – Two Use-Cases

Square is a financial services company that aims to “build common business tools in unconventional ways so more people can start, run and grow their businesses.” Founded in 2009 in San Francisco by Twitter Co-Founder Jack Dorsey and Jim McKelvey, Square reports total net revenue of $9.5 billion for 2020.

Document Search and Discovery in Banking - An Analysis of the Field

An Analysis of AI-Powered Document Search Capabilities in Banking

The financial services industry is buried in paperwork, and the NLP use-cases in banking and insurance grow every year.

AI Impact in Mortgage Processing Workflows@2x

AI Impact in Mortgage Processing Workflows

This article has been sponsored by Iron Mountain, and was written, edited, and published in alignment with Emerj's sponsored content guidelines. 

Deploying a Chatbot in Financial Services

Deploying a Chatbot in Financial Services – Strategic Considerations

Our AI Opportunity Landscape research clearly demonstrates how chatbots are relatively over-hyped in the marketplace, and most buyers drastically overestimate their effectiveness as a result. Some of our press releases about the bloviated claims about chatbot deployments have ruffled the feathers of conversational interface vendors.

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Artificial Intelligence and National Security Economic Impacts and Considerations@2x

Artificial Intelligence and National Security – Economic Impacts and Considerations

In July 2017, The State Council of China released the “New Generation Artificial Intelligence Development Plan," outlining China's strategy to build a US$150 billion Chinese AI industry in a few short years, and to become the leading nation in AI by the year 2030. Other nations followed suit quickly with national AI strategies of their own - with the US trailing behind by nearly two years before developing a semblance of an AI initiative. The proposed 2021 budget for the national security budget in the US is $740 billion - with a billions of dollars being earmarked for AI specifically (learn more: US Public Sector AI Opportunity Report). 

Emerj at the Launch of the OECD AI Policy Observatory in Paris

Emerj at the Launch of the OECD AI Policy Observatory in Paris

Event Title: Launch of the OECD AI Policy Observatory

Event Host: OECD

Weaponized Artificial Intelligence – Critical Dual-Use Applications

Weaponized Artificial Intelligence – Critical Dual-Use Applications

This article is based on a presentation given by Emerj CEO Daniel Faggella in Geneva, at the 2019 New Shape Forum: Weapons Governance for the Geneva Disarmament Platform. To learn more about Emerj's AI presentations and speaking, visit our presentations page.

Artificial Intelligence in Policing

Artificial Intelligence in Policing – Use-Cases, Ethical Concerns, and Trends

In July of 2018, Daniel Faggella spoke at the Interpol--United Nations (UNICRI) Global Meeting on the Opportunities and Risks of Artificial Intelligence and Robotics for Law Enforcement. It was the very first event on the usage of AI in policing, security and law enforcement by the UN and INTERPOL. 

Emerj CEO Presents at the 2019 New Shape Forum: Weapons Governance

Emerj CEO Presents at the 2019 New Shape Forum: Weapons Governance

Event Title: 2019 New Shape Forum: Weapons Governance

Date: September 30, 2019 - October 1, 2019

More From Government Articles
The AI Behind DeepMind's Alphafold 950x540

The AI Behind DeepMind’s AlphaFold – and its Implications for the Future of Drug Discovery

This is a contributed article by Kristóf Zsolt Szalay. Kristóf is Founder and CTO at Turbine.AI, and holds a PhD in molecular biology and bioinformatics. To inquire about contributed articles from outside experts, contact editorial@emerj.com.

AI in the Hospital Settling

AI in the Hospital Setting – Challenges and Trends

This article is based on a presentation at the 2017 AI Applications Summit conference in Boston, entitled “Artificial Intelligence in the Hospital Setting” (slide deck embedded below) delivered by Emerj CEO Daniel Faggella - updated with recent insights and interviews from Emerj's podcast and AI Opportunity Landscape data.

AI at Johnson & Johnson 950×540

AI at Johnson & Johnson – Current Investments

We see evidence dating back to 2017 that Johnson & Johnson has been regularly publishing about their investments and initiatives related to artificial intelligence. At present, Johnson & Johnson does not seem to boast any mature, deployed applications with the firm itself, but its AI-related investment initiatives indicate their aspirations.

AI for Pandemic Response

Artificial Intelligence for Pandemic Response and Outbreak Tracking

The COVID-19 pandemic has caused incredible disruption in healthcare systems across the world, as well as an immediate demand for innovative solutions to the growing number of coronavirus patients. Many AI vendors are already trying to find ways they can serve this demand through augmenting their machine learning-powered products - from diagnostics interfaces to radiology solutions and everything in between. 

AI in Mental Health and Well-being - Current Applications and Trends

AI in Mental Health and Well-being – Current Applications and Trends

There are numerous AI initiatives in progress across the healthcare industry; some of these are for mental health and well-being. In this article, we offer an overview of how AI is facilitating mental healthcare.

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AI at General Electric

Artificial Intelligence and Digital Twins at General Electric

General Electric (GE) was founded in 1889 by J.P. Morgan and Anthony J. Drexel who came together to finance Thomas Edison’s research and merge their companies together. Originally, GE was an industrial and consumer products company but today, more than 130 years later, GE has transformed itself into a multinational, digital industrial corporation ranked as the 33rd largest company in the United States by gross sales in 2020, according to Fortune 500.

Understanding Predictive Maintenance in Manufacturing

Understanding Predictive Maintenance in Manufacturing

The hypothesis is simple:

Equipment breakdowns or downtime is extremely expensive (imagine a train broken down on isolated tracks, hundreds of miles from the nearest depot)
Heavy equipment (engines, wind turbines, manufacturing machines) produce various streams of data (heat, vibration, time-series, etc)
Machine learning could be used to detect "failure patterns" in that data, helping businesses to maintain equipment health more effectively

How Machines and Robots Learn – the Progression of AI

How Robots Learn – an Interview with Jürgen Schmidhuber

This week, we speak with arguably one of the best-known folks in the domain of neural networks: Jurgen Schmidhuber. He's working on a lot of different applications now in heavy industry, self-driving cars, and other spaces.

Artificial Intelligence In Industrial Automation – Current Applications

Artificial Intelligence In Industrial Automation – Current Applications

Accenture forecast the Industrial Internet of Things could contribute $10 trillion to the global economy by 2030. The report also suggested that sensors, material tracking mechanisms, 3D printing, automated product design, robotics, and wearables could help manufacturers reduce costs and increase productivity. Predictive asset maintenance could potentially reduce equipment and machinery maintenance costs by up to 30% and result in up to 70% fewer breakdowns.

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.

More From Heavy industry Articles
Artificial Intelligence at AT&T

Artificial Intelligence at AT&T – Two Current Use-Cases

AT&T traces its history to 1875 when Bell Telephone was founded soon after Alexander Graham Bell patented his invention of the telephone. Today, AT&T is the world’s largest telecom and the largest mobile telephone service provider in the US. 

Virtual Reality Shopping and Artificial Intelligence - 5 Near-Term Applications

Virtual Reality Shopping and Artificial Intelligence – 5 Near-Term Applications

By implementing an immersive virtual-reality environment, some AI applications claim it is possible to test products or retail ideas that have not been brought to on the market, putting them on a virtual shelf to study consumer reactions and behavior to real-time merchandising.

Artificial Intelligence for Video Search and the YouTube of the Future

Machine Learning for Video Search and Video Education – How it Works

Episode Summary: AI, specifically natural language processing, has made it easier to understand text as a medium in a deeper, more efficient way and at scale. With video, the situation is quite different. AI is already being used to help industries that work in the video medium. However, searching for content within videos is more challenging because video is not just voice and sound, it is also a collection of moving and still images on screen. How could AI work to overcome that challenge?

AI for Speech Recognition - Current Companies, Technology, and Where Its Headed 1

AI for Speech Recognition – Current Companies, Technology, and Trends

Speech recognition is technology that can recognize spoken words, which can then be converted to text. A subset of speech recognition is voice recognition, which is the technology for identifying a person based on their voice.

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.

More From Media Articles
AI in Oil and Gas, Unlocking the Value of Data

AI in Oil and Gas, Unlocking the Value of Data

This article has been sponsored by Iron Mountain, and was written, edited, and published in alignment with Emerj’s sponsored content guidelines. 

Information Extraction in Oil and Gas - Using AI to Find Oil

Information Extraction in Oil and Gas – Using AI to Find Oil

Oil and gas companies face many of the same challenges as large banks and established insurance firms when it comes to searching through their backlogs of documents. They want to use the data stored within these documents to make decisions on where to drill and determine whether or not they’re in compliance with laws and regulations. 

Artificial Intelligence in the Food and Beverage Industry

AI in the Food and Beverage Industry – 3 Current Use-Cases

Although it's apparent that AI development is slow-moving in the industry, food and beverage companies may be able to use AI for food processing, in particular:

Predictive Maintenance in Oil and Gas - Current Applications

Predictive Maintenance in Oil and Gas – Vendors and Use-Cases

The International Energy Agency’s latest annual gas market report, Gas 2018, estimated that global gas demand could reach more than 4,100 billion cubic meters (bcm) in 2023. This is an increase from 3,740 bcm in 2017. Greater gas demands mean more oil rigs, and the machines on these rigs break down.

AI Search Applications for Compliance, Contracts, and Human Resources

AI Search Applications for Compliance, Contracts, and Human Resources

There's an entire artificial intelligence ecosystem for enterprise search. Most of this is in a purely digital world. Most vendors help with a layer of AI-enabled search that understands terms or phrases and is able to return the results or answers to questions that someone types in. But the problem is compounded when it comes to searching the physical world.

More From Natural resources Articles
5 Phases of a Data Audit 950×540

5 Phases of an AI Data Audit – Assessing Opportunity in the Enterprise

Emerj serves enterprises to form their AI strategies, and data audits are part of Emerj's framework for identifying high-ROI AI projects. In this article, we'll break down a slice of this framework, walking through some pragmatic steps leaders can take to drive toward industry-leading outcomes in their organization.

Professional Services Leaders_ Map a Plan for Cost-Cutting, or Get Cut

Professional Services Leaders: Map an AI Plan for Cost-Cutting, or Get Cut

What to do when your clients want to cut costs?

Help them cut costs, and be part of a bigger vision beyond cost-cutting.

Speech Recognition and Transcription in Law and Legal

AI for Speech Recognition and Transcription in Law and Legal

Have you ever been frustrated with how Alexa or Siri don't always understand your verbal requests? If so, then you already understand the problem that our guest this struggles with. He's Tom Livne, co-founder and CEO of Verbit.ai.

AI for Enterprise Legal Departments - Contract Analysis and More

AI for Enterprise Legal Departments – Contract Analysis and More

AI has numerous use cases in legal, from document search to compliance and contract abstraction. This week, we speak with Lars Mahler, Chief Science Officer for LegalSifter, about what's possible with AI for legal departments today and how AI applications for legal teams, such as natural language processing-based contract analysis, work. In addition, Mahler discusses how lawyers at companies and data scientists work together to train machine learning algorithms.

AI for IT Services Firms - Backup, Recovery, and Cybersecurity

AI for IT Services Firms – Backup, Recovery, and Cybersecurity

IT services firms are doing their best to keep up with the changing landscape as AI begins to dominate the tech conversation. Many IT services firms have recently started branding themselves as AI companies without having the requisite talent to back up their claims. In reality, many of the older IT services companies are struggling to hire PhD graduates in machine learning who would rather use their skillset at global AI firms like Google and Amazon.

More From Professional services Articles
Artificial Intelligence at Tesla

Artificial Intelligence at Telsa – Two Current Use-Cases

Founded in 2003 as Tesla Motors, the electric vehicle and clean energy company based in California currently has a market cap of over $700 billion - making it more valuable than the top seven automakers combined. Today, Tesla is well-known for its electric vehicles but the company also produces products for sustainable energy generation and storage such as solar panels, solar roof tiles, and more to enable “homeowners, businesses, and utilities to manage renewable energy generation, storage, and consumption”. 

Artificial Intelligence and the Future of Supply Chain and Logstics

Artificial Intelligence and the Future of Supply Chain and Logistics

Supply chains contain every material, component, product and packaging for the objects that together compose the world we live in. However, there is an often invisible ingredient to successful supply chains: data. 

how self-driving cars work

How Self-Driving Cars Work – A Simple Overview

The National Highway Traffic Safety Administration (NHTSA) of the U.S. Department of Transportation recently released an overview report on the current state of self-driving technology.

Training Self-Driving Cars in Simulations - The Future of Automotive

Training Self-Driving Cars in Simulations – The Future of Automotive

Danny Lange heads up the AI efforts at Unity, one of the better-known firms in terms of simulations and computer graphics. They work in several different industries, but this week we speak mostly about automotive.

AI in the Automotive Industry - an Analysis of the Space

AI in the Automotive Industry – an Analysis of the Space

In this article, we explore the applications of AI software within the automotive industry from production and manufacturing to insurance and transportation. We will discuss the equipment involved in collecting and analyzing data along with the potential value they offer to manufacturers, shared mobility companies, insurers, and drivers.

More From Transportation Articles

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