Ronald Schmelzer is Managing Partner & Principal Analyst at AI Focused Research and Advisory firm Cognilytica (http://cognilytica.com), a leading analyst firm focused on application and use of artificial intelligence (AI) in both the public and private sectors.
It certainly seems that all the talk today is about AI, and in particular Generative AI. However, much of the quiet work that AI is doing behind the scenes is much more mundane. And many times, the work is being done by less-intelligent forms of automation, based on approaches that leverage more from the world of rules-based low-code programming than from data-based machine learning.
One of the challenges in putting AI into place is focusing on real-world AI projects that provide actual, real-world value quickly. Christina explains, “I hear from a lot of our stakeholders that they want to be able to leverage the power of AI in their organization, but they are not sure how to get started. A lot of CEOs are saying, all right, what is our AI strategy? I need a strategy for 2024. What have you got for me? ‘Get it on my desk’ was the rush at the end of the year.
She continues, “... and also a lack of data management strategy. It's really hard to get your AI solutions implemented, your AI models built when you have so much data in so many different locations globally. So having that data management strategy and the data governance required to secure your data and make sure that permissions are set properly, those are real challenges that we see regularly, and it feels like a monumental task.
“As a director, as a manager, I needed to ensure our clients that we were able to consistently deliver great AI solutions. I'm not in the business of creating vaporware. My biggest nightmare is to spend months or even a year on a project, and then it's just not of value to our business stakeholders.”
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