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Measuring the importance of data quality to causal AI success

Dynatrace

While this approach can be effective if the model is trained with a large amount of data, even in the best-case scenarios, it amounts to an informed guess, rather than a certainty. Because IT systems change often, AI models trained only on historical data struggle to diagnose novel events. That’s where causal AI can help.

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Enterprise Cloud Security Strategy For 2024

Scalegrid

With the prevalence of cyber threats and regulatory pressures, safeguarding your enterprise’s cloud infrastructure is more critical than ever. Defining Enterprise Cloud Security In today’s business landscape, the reliance on cloud services for data storage and processing has made enterprise cloud security a crucial factor.

Strategy 130
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Cloud Native Predictions for 2024

Percona

Oftentimes, it is a pillar of modern infrastructure strategy to avoid cloud vendor lock-in. Standardization and collaboration are key to sharing common knowledge and patterns across teams and infrastructures. This marks the end of an era of chaos, paving the way for efficiency gains, quicker innovation, and standardized practices.

Cloud 77
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Sustainability Talks and Updates from AWS re:Invent 2023

Adrian Cockcroft

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This session revisits the pillar and its best practices.

AWS 52
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Cloudy with a high chance of DBMS: a 10-year prediction for enterprise-grade ML

The Morning Paper

The following chart breaks down features in three main areas: training and auditing, serving and deployment, and data management, across six systems. Finally, an analysis of ML research directions reveals the following arc through time: systems for training, systems for scoring, AutoML, and then responsible AI.

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5 SRE best practices you can implement today

Dynatrace

Without SRE best practices, the observability landscape is too complex for any single organization to manage. Like any evolving discipline, it is characterized by a lack of commonly accepted practices and tools. Like any evolving discipline, it is characterized by a lack of commonly accepted practices and tools.

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Why growing AI adoption requires an AI observability strategy

Dynatrace

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 223