Emerj AI Framing Scale

Achieving Sustainable AI Adoption with the AI Framing Scale

How AI project leaders provide the best chance at sustainable success in AI adoption?

The answer is simple: Frankly communicate both near-term and long-term value, and help leadership understand the importance of seeing measurable results, and the value of building a stronger AI foundation for future projects.

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 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.

Incubating AI Projects - The Crucial Phase Between Pilot and Deployment

Incubating AI Projects – The Crucial Phase Between Pilot and Deployment

Artificial intelligence projects are more like R&D than they are like traditional IT. It is experimentation as much as it is adoption, and this difference is one of many reasons that AI projects take longer to integrate, and often hit bottlenecks that prevent them from being used in production.

The B2B AI Growth Loop

The “Growth Loop” – A Deliberate Go-to-Market Approach for AI Firms

Most AI product firms are founded and grown in a similar way.

It usually goes something like this:

What Makes AI Projects Different from IT Projects

What Makes AI Projects Different from IT Projects

One of the biggest hurdles to AI adoption and integration is a lack of proper expectations about applying AI in an existing business. Executives and their teams often go into the process blind because so few companies have learned these important lessons and challenges and because even fewer have successfully adopted AI in a way that delivers ROI.

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.

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.

Artificial Intelligence at Tesla

Artificial Intelligence at Tesla – 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”.