About the Webinar
At least 90% of organizational data challenges involve people and process – not technology challenges. AI can help! Strengthening our focus on non-technology aspects of data governance is crucial. Start by intentionally leveraging AI to support your efforts in ethics. Like ubiquitous “safety minutes,” periodic ethics discussions will help prevent surprises, introduce vocabulary, and most importantly, keep the first discussion of organizational ethics from occurring in the middle of a data crisis. This program will present several scenarios that benefit from data ethics discussions. You can use these to start similar discussions at your organization. Additional takeaways focus on:
- Data ethics is not confined to any specific industry
- Data governance discussions must regularly incorporate ethical challenge components
- Since ethics never involves a “correct” answer, the process becomes more influential
About the Speakers
Peter Aiken, Ph.D. is an acknowledged Data Management authority, an associate professor at Virginia Commonwealth University, president of DAMA International, and associate director of the MIT International Society of Chief Data Officers. For more than 40 years, Peter has learned from working with hundreds of Data Management practices in more than 30 countries. Among his 13 books are the first on making the case for data leadership (CDOs), the first focusing on data monetization and modern strategic data thinking, and the first to objectively specify what it means to be data-literate. International recognition has resulted from these and a (pre-Covid-19) intensive worldwide events schedule. Peter also hosts the longest-running Data Management webinar series on dataversity.net. Before Google, before data was big, and before Data Science, Peter founded several organizations that have helped more than 200 businesses leverage data – specific savings have been measured at more than $1.5 billion. His latest venture is Anything Awesome.
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