Simplify Your ML Workflow With AutoML 2.0
AutoML platforms offer “no-code” AI development, but the devil is in the details. For most Business Intelligence professionals, the world of AI and Machine Learning(ML) seems a bit out of reach. The challenge is not so much in whether the technology is useful or not, but rather in the effort required to add AI and ML technology to their BI stacks. The requirement from business users is undoubtedly there. Whether it’s to predict customer churn, model marketing campaign performance, forecast sales, identify clients at high risk of defaulting on receivables, or countless other applications, adding AI/ML to your BI stack can provide immense value. The average BI professional’s problem is that although they are highly skilled at manipulating data and creating sophisticated visualizations, applying the additional data optimization and statistical mathematics necessary to build effective AI/ML models is not within their skill-set. Enter AutoML Workflows The promise of AutoML is…
