Making ML Scaling a Simple Experience for Every Developer

Empiric Health’s mission is to reduce unwarranted clinical variation, thereby improving healthcare outcomes and affordability. Primarily focused on surgical services, Empiric Health integrates Electronic Medical Records (EMR) and supply utilization data, which is then processed by a proprietary AI engine that sorts surgical encounters into clinical cohorts, or groups of comparable surgeries. This engine was created hand-in-hand with clinicians in order to facilitate direct clinician engagement. While AI engines provide traceability and clear explanations, they struggle to scale and expand quickly when exposed to novel data or changing practices.

AI enables companies to better understand different aspects of their business and finance operations, and that’s exactly what Robert Hanley, Director of Finance at BMC Software, has achieved. Through automation, enterprise AI and machine learning predictions, Robert and his team have been able to analyze — and subsequently, improve and optimize — different parts of its sales, finance, and business operations.

As per a report published by International Data Corporation (IDC), the total revenues in the Augmented Reality (AR) and Virtual Reality (VR) market are predicted to reach over USD 162 billion by 2020. AR and VR has become of paramount importance to take the business to the next level. Enterprises across the globe are looking for efficient ways to innovate and churn out immersive technologies to not just train their employees but to also improve customer satisfaction and loyalty which results in increased profits.

As AI gains traction, organizations are realizing that only larger-scale, enterprise-wide deployments are likely to provide full access to the operational and economic benefits of these new technologies.