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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. For instance, finance and healthcare applications may need to meet regulatory requirements involving AI tool transparency. Therefore, organizations need new capabilities, such as explainable AI, now more than ever.

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What Is PostgreSQL Used For?

Percona

In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). A multi-version concurrency control (MVCC) system ensures multiple users can access the same data simultaneously without conflicts or data loss.

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Software engineering for machine learning: a case study

The Morning Paper

ML-centric software also sees frequent revisions initiated by model changes, parameter tuning, and data updates, the combination of which can have a significant impact on system performance. In large scale systems with more than a single model, each model’s results will affect one another’s training and tuning processes.

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DevOps Enterprise Summit, Europe 2021: Leadership and OKRs

Tasktop

Dr. Chris Strear shared a remarkable story about applying the theory of constraints in healthcare. Citing the Navy’s “leadership factory”, he encouraged attendees to focus on tuning a system for building leaders, to give them the responsibility and ownership to hone their skills and come back “stronger” from missions.

DevOps 91
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Store engineering squad - focus on software and systems required for the storefront including point-of-sales system, promotions, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. Secondly, fine-tune team composition based on work.

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Should You Use ClickHouse as a Main Operational Database?

Percona

In a partitioned massively parallel database system, the storage format and sorting algorithm may not be optimized for that operation as we are reading multiple partitions in parallel. stimulus','reform','medicare','franken','healthcare','payer','insurance','downvotes','hospitals','patients','option','health'] ? ? Conclusion.

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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Users also need to know how to create a prompt for an AI system that will generate a useful answer. from education.