Radu Miclaus

About Radu Miclaus

Radu is a creative AI product leader with more than 15 years of experience in building AI-first product, architecting enterprise AI back-end that focus on embedding Intelligence in digital transformation efforts. With deep expertise in business application related to digital transformation, intelligent applications, AI-powered search, risk analytics, supply chain, IoT sensor analysis, digital analytics and personalization, Radu focuses on designing platforms that move and transform data, train algorithms and deploy analytics-driven decisions back into operations systems and applications at scale and low latency.Currently, Radu works as Senior Director for Gartner doing research and advising software Product Management teams in areas like Product Lifecycle Management, Product Planning, Development and Introduction. The horizontal focus is on augment analytics and AI and the vertical focus is on Customer Analytics, Customer Experience and Product-Led growth strategies.Before Gartner, Radu was Head of Product at an exciting augmented analytics company called Tellius, with ownership of all aspects of product decisions, and before that he spent close to 2 years at Lucidworks as Director of Product for AI applications for e-commece and workplace search and recommendation applications.Previously, Radu was a Principal in the Cloud and Platform Strategy Product Management team at SAS, focusing primarily on modernization efforts driving microservices, container orchestration strategies (using Docker and Kubernetes), public cloud deployments, APIs and distributed workload management for AI and Machine Learning processing.Before moving to product management, Radu lead a team of data scientists and pre-sales engineers who support customer engagement cycles related to Big Data initiatives using SAS technologies like Grid, In-Database, In-Memory and Event Stream Processing for high-availability, near-real-time and real-time analytics application. Radu managed analytics projects with customers including GE (Predix), Disney, FedEx, AT & T, NBC, Hilton Hotels, Marriott Hotels, Comcast, Microsoft, KPMG, Accenture, Deloitte, PWC and McKinsey. Business domains of application include customer intelligence, HR Analytics, pricing strategy, risk analytics, fraud management and edge/sensor analytics for IoT.

Experience

1. Guest Lecturer

   Institute For Advanced Analytics

   Feb 2012 — Present · Raleigh-Durham, NC, US

   Institute for Advanced Analyticshttp://analytics.ncsu.eduLectures- Analytics Applications and Business Processes- Enterprise Analytics Architecture

Education

• University of Missouri Trulaske College of Business

  BSBA, Finance

  1999 — 2003

• The University of Iowa Tippie College of Business

  MBA, Finance

  2004 — 2005

• Duke University

  Continuing Studies, Non-Profit Management Certificate

  2007 — 2007

• Kellogg Executive Education

  Product Strategy

  2020 — 2020

• North Carolina State University

  MS, Analytics

  2008 — 2009

Skills

• Forecasting
• Text Mining
• Counterparty Risk
• Data Analysis
• Customer Relationship Management (Crm)
• Six Sigma
• Banking
• Data Integration
• Risk Management
• Market Risk
• Portfolio Management
• Vba
• Credit Portfolio Management
• Analytics
• Customer Analysis
• Predictive Modeling
• Risk Analytics
• Sas
• Business Intelligence
• Customer Analytics
• Data Mining
• Crm
• Business Analytics
• Management
• Pre-Sales Technical Consulting
• Enterprise Software
• Forecasting Models
• Analysis
• Predictive Analytics
• Loss Forecasting
• Credit Risk