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The future of data: A 5-pillar approach to modern data management

CIO

One of the most challenging aspects of business analytics is creating a consistent set of data definitions to ensure reports do not produce conflicting or unreliable information. The introduction of generative AI (genAI) and the rise of natural language data analytics will exacerbate this problem.

Data 167
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The 4 pillars of the Zscaler Zero Trust Exchange: Customers share their successes

CIO

Zscaler also discovers shadow IT and risky, unapproved third-party applications users have connected to, as well as any misconfigurations or compliance violations in sanctioned applications. These technologies are essential for maintaining regulatory compliance when handling sensitive personal data in the cloud.

Security 214
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Switching From FluentD to Vector Log Aggregation Tool

DevOps.com

This data is relevant to a number of use cases across an organization from resource management, application troubleshooting, regulation compliance and SIEM and business analytics and […]. The post Switching From FluentD to Vector Log Aggregation Tool appeared first on DevOps.com.

Tools 118
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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

This approach enables leadership teams to demonstrate the tangible financial benefits of their Amazon Q Business investment and make data-driven decisions about scaling their implementation, based on their organizations specific metrics and success criteria.

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You cannot develop a high-quality customer engagement strategy without trust

CIO

Engaged customers are vital to the success of any business. Analytics is central to understanding what works for your customers. But, they want to be safe in knowing that their data is being properly managed and adheres to regulatory compliance practices. But how do you get them to share actionable data?

Strategy 146
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CDH Users: If you have done impactful things with data please share how what and why

CTOvision

Delivering new insights, innovation, and/or revenue streams through predictive or advanced analytics that are enabled by the Hadoop platform. SECURITY & COMPLIANCE. Operating Hadoop as a controlled, mission-critical environment that meets stringent mandates for security and regulatory compliance. intelligence community.

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Which Government, Non-Profit and NGO Have Big Data/CDH Lessons Learned To Share?

CTOvision

Delivering new insights, innovation, and/or revenue streams through predictive or advanced analytics that are enabled by the Hadoop platform. SECURITY & COMPLIANCE. Operating Hadoop as a controlled, mission-critical environment that meets stringent mandates for security and regulatory compliance. intelligence community.

Big Data 105