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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

These generated scripts are tailored to meet your organization’s unique requirements while conforming to industry standards for security and compliance. These scripts serve as a foundational starting point, requiring further refinement and validation to make sure they meet production-level standards.

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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. All these capabilities are built to help multiple lines of business innovate with speed and agility while governing at scale with central controls.

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Ethically Leveraging AI – Forbes Business Council Insights

Real Blue Sky

.” Bryant’s contribution focused on the importance of establishing good governance. Ethically Leveraging AI Requires Governance Effective and ethical use of AI hinges on robust governance structures which integrate interdisciplinary expertise to navigate complex ethical considerations.

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A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

software bug fixes, wrong information corrected on the website) Product development decisions : reprioritizing things on the product development roadmap taking the feedback into account (e.g. more friendly behavior in customer service) Marketing to take the info into account in better targeting (e.g.

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Charting the Future of Trust & Safety at TrustCon 2024

24-7 InTouch

Setting Standards: Establishing unified industry standards guides AI governance, promoting transparency, accountability, and ethical deployment across sectors. Bias Mitigation: Alignment between trust and safety protocols and AI development prevents biases in AI models, promoting fairness and inclusivity.

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Security and the IoT: Where to Start, How to Solve

Avaya

Today, it spans across multiple industries and governments from smart cities (which includes transportation, public safety, water works, citizen services, waste management, et al) to smart industries like manufacturing, healthcare, and consumers, to name a few. It’s transformative. It’s practical.