Predictive AI offers tremendous potential – but it has a notoriously poor track record. Outside Big Tech and a handful of other leading companies, most initiatives fail to deploy, never realizing value. Why? Data professionals aren’t equipped to sell deployment to the business. The technical performance metrics they typically report on do not align with business goals – and mean nothing to decision makers.

What’s needed is an off-the-shelf solution that empowers stakeholders and data scientists alike to plan, sell, and greenlight predictive AI deployment. Such a solution accomplishes this by establishing and maximizing the value of each machine learning model in terms of business outcomes like profit, savings – or any KPI.

Only by measuring value can the project actually pursue value. And only by getting business and data professionals onto the same value-oriented page can the initiative move forward and deploy.

In this session, Gooder AI CEO Eric Siegel will demonstrate a new category of software, ML valuation. The first such software solution, Gooder AI can valuate any ML model, effortlessly serving up an interactive visualization to navigate ML deployment and make the value easily understood by business stakeholders.