Emergent Trends in Machine Learning: Business Autonomy - AnalyticsWeek

The general perception of machine learning is that it involves sophisticated algorithms and predictive models that far surpass the understanding of the business domain expert that relies upon this technique to glean analytic insight. But it doesn't have to. According to Paxata Vice President of Corporate and Product Marketing Michele Goetz--a former analyst for Forrester--an artful combination of machine learning, data visualizations, natural language processing, and a heaping of semantic technologies can render this technology functional to business analyst end users for enhanced analytic insight. "There are analytics and visualizations that pull out of the machine learning that provide a bit of insight without having to go fully down the analytics path to get that type of insight," Goetz commented. "Just having something that you're continuously refining and tuning is interesting when you're working in a much more exploratory fashion."