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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 351
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CECL Compliance – Time it right

Newgen Software

The rider on the CECL Compliance mandate – banks need to maintain reserves for all loan types, impaired or not. A much-needed huddle of chief credit officers, chief financial officers, chief risk officers, chief information officers, compliance officers, and business intelligence officers to prepare for the future.

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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 213
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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 107
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PaaS, IaaS, and SaaS: Making the Right Choice for Your Oracle Cloud Migration

Datavail

Oracle Analytics Cloud. PaaS includes the essential infrastructure and middleware as well as technologies such as artificial intelligence, the Internet of Things (IoT), containerization, and big data analytics. Oracle PaaS includes functionality for application development, content management, and business analytics, among others.

Cloud 97
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CDH Users: If you have done impactful things with data please share how what and why

CTOvision

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads. ADVANCED ANALYTICS.

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Unlocking the Power of AI and Automation in Life Science: An Enterprise Modernization Journey

Apps Associates

The Life Science industry is experiencing a revolutionary transformation through the application of automation, helping to modernize critical areas of operation such as Research, Supply Chain and Regulatory compliance.