How CIOs Can Fix Data Governance For Generative AI

Full Article
How CIOs Can Fix Data Governance For Generative AI

The article discusses the critical need for improved data governance in the context of generative AI. It highlights a study revealing that over 91% of websites are vulnerable to bot attacks, emphasizing the importance of cybersecurity for organizations. Additionally, it features insights from Lakshmikant Gundavarapu of Tredence on how AI is reshaping data governance practices.

The conversation with Gundavarapu underscores the necessity for clean and organized data to maximize the benefits of generative AI. Companies are urged to enhance their data visibility and governance frameworks to avoid disorganized data that hampers AI effectiveness. The article also touches on the mixed market reactions to earnings reports from major tech companies, reflecting investor concerns about spending and future growth.

• Over 91% of websites are vulnerable to bot attacks, highlighting cybersecurity risks.

• Generative AI requires clean data for effective governance and analysis.

Key AI Terms Mentioned in this Article

Data Governance

Data governance is essential for managing data quality and accessibility, especially with generative AI.

Generative AI

Generative AI leverages diverse data sources, necessitating improved data organization and governance.

Bot Protection

Bot protection measures are crucial for safeguarding websites against automated attacks that exploit vulnerabilities.

Companies Mentioned in this Article

DataDome

DataDome specializes in bot protection solutions, revealing significant vulnerabilities in website security.

Tredence

Tredence focuses on data governance solutions, emphasizing the need for organized data in AI applications.

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