Speaker "Kevin Sieck" Details Back



Moving to a Predictive & Prescriptive Analytics Model


While descriptive analytics are still the most popular form of analytics today, it's not the best way to gain a competitive advantage.   Organizations that want to advance beyond doing business through the rear-view mirror are using predictive and prescriptive analytics to determine what will likely occur.  Predictive analytics has the added benefit of recommending action.

This session will talk about the forward looking capabilities enabled by predictive and prescriptive  analytics that enable organizations to plan for probable outcomes, good or bad. 

Armed with probable patterns predictive and prescriptive analytics reveal,  businesses can identify fraud faster or intervene sooner when it appears that a customer is about to churn. The combined foresight and timelier action help companies drive more revenue, reduce risk, and improve customer satisfaction.


Mr. Sieck is a technology executive and entrepreneur who has been involved with AI solutions starting early on with AI for Optical Character Recognition, to Computer Aided Design; and most recently for use in Predictive Analytics Use Cases across a number of verticals including Retail, CPG, FinTech, Healthcare, Financial Services, Insurance and others.

He is currently Director – Risk and Governance | AI | Machine Learning solutions for Orion Governance that offers a disruptive new Data Governance enterprise software solution focused on technical lineage; for the first time allowing banks, insurers, retailers and other large enterprises to confidently ensure compliance with numerous regulations such as GDPR, BCBS-239, SOX, HIPAA, CCAR, Solvency II. It provides the clear, accurate visibility into corporate data drastically reducing operational risk.

Prior to Orion Governance, he was Director for Digital | Marketing Analytics helping major F500 companies increase revenues and cut costs through the development and implementation of their Digital Transformation Strategies.

He was Director of Advanced Analytics for Hitachi and brought to market Hitachi’s first SaaS Solution platform that was an AI based solution called Live Insights for IT Operations that help give IT operations a 360-degree globalview of their data center operations.

Prior to Hitachi, he was involved with a number of early stage VC financed technology companies as well as numerous turn-around entities that had successful exits.

He is an active member of the MIT Community and services on the MIT Venture Mentoring Services organization.