Machine learning and artificial intelligence are quickly becoming the new standard for all business operations, including information management.
Yet for all the benefits that these intelligent solutions provide, questions remain regarding their influence in records and information management, including:
What problems can machine learning solve within information management?
How can machine learning and artificial intelligence impact value extraction?
How do machine learning methods, such natural language and convolutional neural networks, work within records processes?
Join us on November 14th,
as we answer these common questions, as well as tackle issues
surrounding facilitating information management and value extraction
using today’s modern technologies.
Speaker: Anke Conzelmann
Director of Product Management
Anke Conzelmann is the Director of Product Management Iron Mountain InSight, a content services platform that leverages ML/AI based classification and enrichment to enable actionable insight from data for customers. Since joining Iron Mountain in 2003, Anke’s focus has been on delivering products and services that help customers meet compliance, litigation, and Information Management challenges
across digital, physical, onsite & cloud based data repositories.
She has held Product Management positions in Data Management, Records
Management, and Digital Businesses. Prior to joining Iron Mountain, Anke
spent 9 years in Speech Recognition Software, spanning Product
Management, Marketing, Sales, and Channel Management in both the US and
Born in Germany, Anke has called the Boston area home for
nearly two decades. She is an avid motorcyclist, having crossed the US
on two wheels twice, and is deeply passionate about the environment and