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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. We then explore strategies for implementing effective multi-LLM routing in these applications, discussing the key factors that influence the selection and implementation of such strategies.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

CRAWL: Design a robust cloud strategy and approach modernization with the right mindset Modern businesses must be extremely agile in their ability to respond quickly to rapidly changing markets, events, subscriptions-based economy and excellent experience demanding customers to grow and sustain in the ever-ruthless competitive world of consumerism.

Cloud 147
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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use. Verisk also has a legal review for IP protection and compliance within their contracts. Splitting document pages Verisk tested multiple strategies for document splitting.

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Securing Remote OT Operations:

Palo Alto Networks

This expanded attack surface has made OT systems a prime target for cyber threats, underscoring the need for a robust security framework tailored to remote OT environments. Three-quarters of surveyed companies have already encountered these challenges due to OT-targeted cyber-attacks.

Security 111
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Why GreenOps will succeed where FinOps is failing

CIO

Capital One built Cloud Custodian initially to address the issue of dev/test systems left running with little utilization. This siloed approach leads to suboptimal decision-making and fractured strategies. Architects must combine functional requirements with multiple other long-term requirements to build sustainable systems.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.

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Unit 42 Predicts the Year of Disruption and Other Top Threats in 2025

Palo Alto Networks

Additionally, the cost of cyber disruption will increase next year as businesses experience downtime due to cyberattacks and scramble to implement defenses fit for the AI-enabled attacker era. As part of Palo Alto Networks 2025 predictions , read on to uncover Unit 42’s insights on what to expect in the coming year.