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Remote Interpretation Industry Standards: Transparent Pricing and Offerings

Voiance

Businesses and government agencies in the market for remote interpretation services can and should take per-minute price into consideration. Budgets are often tight, and savings on one line item can help offset others. The trouble starts when the procurement team decides to shop on price alone.

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Industry Standards for Remote Interpreter Qualification and Vetting

Voiance

Working in the business world or for a government agency generally requires education, certification, and vetting to ensure trustworthiness. So it makes sense to hold your phone and video interpretation provider—and their interpreters—to those same high standards.

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Linking ESG Programs to Corporate Financial Performance: An Econometric Analysis Approach

CSM Magazine

As businesses increasingly prioritize the incorporation of environmental, social, and governance (ESG) initiatives into their daily operations, many executives are rightfully pondering not only the moral implications of responsible ESG practices but – perhaps more importantly – how to quantify their impact on corporate financial performance (CFP).

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Texting Laws: Can Businesses Send Texts Without Permission?

VirtualPBX

Texting Laws in The United States In order to safeguard consumers from unsolicited messages, numerous countries have enacted specific laws and regulations that govern text message marketing. In other words, yes, text marketing is legally permissible when businesses adhere to the rules and regulations mandated by law.

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Data Security and Quality Standards for Remote Interpretation Providers

Voiance

Providing quality business and government services often requires interacting with the private information of customers and constituents. In our new whitepaper, The Remote Interpretation Industry: Standards and Best Practices, Voiance explores quality metrics for language services providers, including data security:

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Learn how to assess the risk of AI systems

AWS Machine Learning

Consequently, establishing mechanisms to assess and manage risk is an important process for AI practitioners to consider and has become a core component of many emerging AI industry standards (for example, ISO 42001 , ISO 23894 , and NIST RMF ) and legislation (such as EU AI Act ). About the Authors Mia C.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. Many AWS customers align to industry standard frameworks, such as the NIST Cybersecurity Framework.