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Upskilling Test Engineers for Chatbot Projects

Cyara

With Botium , we are currently defining the industry standard for testing chatbots. This article was originally published on Botium’s blog on March 26, 2021, prior to Cyara’s acquisition of Botium. Learn more about Cyara + Botium.

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Unlocking Success: Transforming Ideas into Results – Marketing with Our Edge

IdeasUnlimited

The company takes pride in delivering high-quality digital marketing solutions that transcend industry standards. Services Offered by The Digital Edge Search Engine Optimization (SEO): Search Engine Optimization (SEO) serves as the bedrock of a robust online presence, and at The Digital Edge, it is approached with strategic precision.

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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 ).

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

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Ten Examples of Client-Facing Roles

CSM Magazine

Product Manager Product managers are responsible for planning, developing, launching and managing their organization’s product lines or services on a daily basis through research into market trends, customer feedback and competitor analysis reports as well as coordinating departmental efforts across marketing departments when necessary for successful (..)

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Talkdesk Infrastructure Security

Talkdesk

The Engineering Security teams work closely with Site Reliability Engineering teams to remediate or mitigate any cloud infrastructure configuration risks that are found in our AWS environments. with an industry standard ECDHE-RSA-AES128-SHA256 cipher. For data in transit, we use TLS 1.2

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. This enables Philips ML engineers and developers to provide updates, bug fixes, and future enhancements without disrupting the entire system.