As more and more companies adopt machine learning, the possibilities for automation and predictive analytics expand exponentially — and so do the choices.
In this white paper, data scientists, engineers and thought leaders who deeply understand machine learning weigh in on what it takes to deploy ML for small to medium-sized businesses.
We ask some very human questions, like whether to build or buy your ML solution, why offshoring isn’t always cheaper, and what the future holds for AI-enabled technologies.
- Build or buy? That’s just one question
- Offshoring, onshoring and collaborating (even with the competition)
- The present and future of NLP and document processing
- Understanding (and navigating structured and unstructured data
- What it takes to successfully apply ML
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“No matter what you’re in the market for, you should almost always choose the best value instead of the lowest cost. Experts provide more than additional value. You want to ensure you’re using automation responsibly. There’s a balance between what is capable, what is possible and what we actually want to happen right now.”
Wayne Butterfield, Global Head of Intelligent Automation Solutions, ISG Automation