Peggy Tsai

Increasingly, enterprise practitioners are viewing data governance as an enabler of business value rather than a cost center within their organizations. But in practice, practical challenges still face organizations as they try to simultaneously meet reactive needs – such as compliance – as well as more proactive ones, such as analytics initiatives. What’s standing in the way of operationalization and success? For many, it’s the erroneous view that data privacy is at odds with data insight.

However, savvy organizations are realizing that data privacy requirements can be a springboard for more systematic and robust data management practices: practices that benefit stakeholders across the entire organization.

This webinar will look at the alignment of business objectives, and the use of privacy requirements as a lever, not a roadblock.

In this webinar, Paige Bartley, Senior Analyst for Data, AI and Analytics, at 451 Research and Peggy Tsai, VP of Data Solutions at BigID will discuss how you can:

Understand the role that data privacy requirements can play in accelerating enterprise-wide data governance efforts
Learn to identify opportunities to align business objectives for “reactive” functions such as compliance and “proactive” initiatives such as analytics
Develop strategies for engaging key enterprise decision-makers and stakeholders, so that data privacy can be a systemic, operationalized effort
Pinpoint downstream benefits to enterprise-wide data privacy and protection efforts, so that non-compliance business units can maximize performance

ML-based data discovery is a critical foundation for all organizations to manage, protect, and analyze their data.

In this upcoming webinar, BigID will explore best practices and challenges for data management programs – and how ML-driven data discovery can help clean up and identify duplicate data, highlight vulnerable data, and help govern the flow of data in your organization.

The webinar will explore:
– Traditional challenges with data management programs (and how to avoid them): from cataloging to analysis
– How to optimize your existing data program with Artificial Intelligence and Machine Learning techniques
– Tips on how to leverage a single authoritative source for decision making

Various leadership positions held on the executive board

The International MIT Chief Data Officer and Information Quality Symposium (MIT CDOIQ), now in its 15th year, is one of the key events for sharing and exchanging of cutting edge ideas, content and discussions. Our purpose is to advance the knowledge and accelerate the adoption of the role of Chief Data Officer (CDO) in all industries and geographical countries. As Data is a critical aspect of every organization, the symposium is focusing on the management and leadership of this critical element for the 21st century that will benefit every organization.

Against the backdrop of Data Analytics, Machine Learning, Data Quality and Data Management, the MIT CDOIQ Symposium will host its event virtually and will explore delivering mature data & analytics capabilities for ROI, including local organizational issues to global challenges, through case studies from industry, academic, financial, government and healthcare leaders.