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This article was a request from one of our Catalyst members. The Catalyst Advisory Program is an application-only coaching program for AI consultants and service providers. The program involves one-to-one advisory, weekly group Q-and-A with other Catalyst members, and a series of proprietary resources and frameworks to land more AI business, and deliver more value with AI projects. Learn more at emerj.com/catalyst.

This is a contributed article by Ian Wilson, Founder at Strategy 4 AI - learn more about Ian's online AI strategy courses here. Ian is also the former Head of AI for HSBC, one of the largest financial institutions in the world. To inquire about contributed articles from outside experts, contact [email protected].
As the use of AI to support business operations moves through its maturity cycle we have passed a number of key milestones along the way. However, following a pattern reminiscent of previous emerging technology introductions, organizations initially hired experts only to balk when they used blasphemous words like "infrastructure," "industrialize" or "strategy" rather than soothing words like "use case," "quick win" or "easy ROI." 
Unfortunately, instead of sacrificing their misaligned expectations, many businesses sacrificed their experts... 
Fast forward a couple of years and many of those businesses, having attempted to cut corners and seeing mainly failure, now have a visceral understanding of what their experts were advising and are looking, with more experienced eyes, at how to move forward from this point.
However, many businesses are still making avoidable mistaken assumptions when it comes to the use of AI Capabilities to support business objectives. I like to call the most egregious of these assumptions The 4 Horsemen of the AI-Pocolypse:

This article was a request from one of our Catalyst members. The Catalyst Advisory Program is an application-only coaching program for AI consultants and service providers. The program involves one-to-one advisory, weekly group Q-and-A with other Catalyst members, and a series of proprietary resources and frameworks to land more AI business, and deliver more value with AI projects. Learn more at emerj.com/catalyst.

This is a contributed article by Luigi Congedo, and edited by Emerj. Luigi is Venture Capital Principal at San Francisco-based BootstrapLabs, an AI-focused VC firm. To inquire about contributed articles from outside experts, contact [email protected].

Artificial intelligence isn't making its way into enterprise deployments easily. Despite a relatively widespread understanding that AI is an inevitable force for winning market share and serving customers, by name estimates some 80-90% of AI projects fail.

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 [email protected].

What a year it’s been.

We’ve seen our subscribers in enterprises around the world rethink their strategic priorities from the ground up in the face of COVID-19, and we’ve seen our clients in the AI events space reimagine their entire business model over just a few months. We've also see the rise in new AI consultants spinning out of almost every industry - finding new ways to serve the urgent transformation needs of enterprises in crisis.

Setting expectations.

In our ongoing poll of new Emerj Plus members indicates that in addition to "accessing more AI use-cases" and "measuring AI ROI," our members consistently tell us that they join in order to "set expectations for AI projects" - especially with leadership.

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

Many books could be written on the subject of AI strategy, and we've seen that "strategy" means something different from one enterprise to the next. This article is a brief overview of the common steps in creating an AI strategy - in roughly the order that the steps are usually executed.