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Finding "Beachhead" AI Use-Cases - A Key to Gaining Traction for AI Product Firms

Finding “Beachhead” AI Use-Cases – A Key to Gaining Traction for AI Product Firms

Successful AI vendors know that 90% of the value they bring to the table lies in a deep understanding of the client's context, including:

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AI Delivery Partners - How Consultants Contract AI Talent Before Hiring

AI Delivery Partners – How Consultants Contract AI Talent Before Hiring

Most early stage AI consulting firms don’t have the budget to hire expensive machine learning talent. For non-technical founders who can’t do the ML engineering themselves, this means getting creative when it comes to AI project delivery.

Artificial Intelligence at Nike

Artificial Intelligence at Nike – Two Current Use-Cases

Nike was founded as Blue Ribbon Sports in 1964 and originally operated as a distributor for athletic shoes made by a Japanese firm. By 1971, Nike sold its own line of shoes and began using the company’s iconic Swoosh design. By the time Nike went public in 1980, the company had achieved a 50% market share in its domestic athletic shoe market.   

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. 

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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.

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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.

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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:

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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.