This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
ChiefDataOfficer. Organizations are constantly seeking ways to maintain market relevance and differentiate themselves from competitors, by investing in data as an asset. It’s critical for businesses to identify useful signals from the ever increasing volumes of data being generated to make decisions quickly.
ChiefDataOfficer. Organizations are constantly seeking ways to maintain market relevance and differentiate themselves from competitors, by investing in data as an asset. It’s critical for businesses to identify useful signals from the ever increasing volumes of data being generated to make decisions quickly.
Responsible organizations will proactively align data and AI efforts with human values. This becomes a requirement for the ethical use of data and mitigating risk. History shows that smart, ethical data-use and do-no-harm policies lead to greater innovation. . Flexible governance. Data equity.
Responsible organizations will proactively align data and AI efforts with human values. This becomes a requirement for the ethical use of data and mitigating risk. History shows that smart, ethical data-use and do-no-harm policies lead to greater innovation. . Flexible governance. Data equity.
VP, ChiefDataOfficer, Tableau. Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, ChiefDataOfficer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized datagovernance is key.
VP, ChiefDataOfficer, Tableau. Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, ChiefDataOfficer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized datagovernance is key.
Data literacy has become a critical skill for insurance professionals at all levels. As chiefdataofficers (CDOs) in the insurance industry, one of the most crucial challenges is fostering a data-literate workforce capable of leveraging data for better decision-making and innovation.
We organize all of the trending information in your field so you don't have to. Join 57,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content