The AI Ascent: Engineering your path to innovation

Executive Summary

The emergence of the artificial intelligence market in the past few years has enabled business leaders to choose from countless solutions pathways to build an AI-powered enterprise. But in many cases, evolving options for AI solutions haven’t translated into evident wins and ROI on a large scale. This begs the question: what isn’t working in the current approach to AI solutions, and what is? Furthermore, how can enterprises evolve their strategies and recalibrate their roadmap to generate more meaningful results, faster?

This Ebook unpacks the various approaches to AI innovation. It outlines the significant advantages of investing in a software provider that offers sophisticated machine learning solutions, developed by seasoned research and data science teams that understand the power of automation, optimization, and identifying high-impact use cases. In the current AI landscape, flexibility, adaptiveness, speed and expertise are a few of the key factors that will set AI winners apart from AI hopefuls. But getting on the success trajectory – and finding the right software provider – isn’t always a straightforward process: that’s why we’re here to address the common challenges that are bound to impact your ability to see results at scale from your AI initiatives.

"First and foremost, I will say that it’s a good thing to be challenged on risks. It might be frustrating when you’re focused on getting your project up-and-running, but it’s worth it in the long run."

- Sylvia Klasovec Kingsmill, KPMG Canada

Learn more about the Kepler AI business platform with our demo video.

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