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Value Stream Management for digital transformation: A new maturity model

CIO Business Intelligence

Recognizing this need, we have created a cutting-edge VSM maturity model. Drawing upon our extensive experience facilitating successful VSM initiatives within large-scale enterprises, this model serves as a compass, offering insights into their current VSM maturity and providing practical direction to advance and reap the additional benefits.

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Generative AI will profoundly change healthcare operations

CIO Business Intelligence

Generative AI will significantly change how healthcare operations are conducted, establishing a new level of benchmark performance by which all payers and providers will be measured. In addition, large language models can both summarize massive amounts of data and create new, original content.

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How A Data Catalog Enhances Data Risk Management

Alation

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. Download the complete white paper now. Or, read on for a brief summary.

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Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services!

Smarten

.” The Information Technology Amendment Act of 2009 designated CERT-IN as the national agency to perform functions for cyber security, including the collection, analysis and dissemination of information on cyber incidents, as well as taking emergency measures to handle incidents and coordinating cyber incident response activities.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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Data Literacy for Responsible AI: Governance and Accountability

DataRobot

Impact assessments are not formally mandated for AI governance, but as a proactive measure they go a long way toward developing fair, bias-free, low-risk AI systems. Business rule testing: AI models should both adhere to data science and IT system requirements and satisfy standard operating procedures at the same time. White Paper.

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Balancing latency and sustainability

CIO Business Intelligence

In the Equinix 2023 Global Tech Trends Survey (GTTS), 68% of global IT leaders said that the environmental impact of their IT equipment and infrastructure is something they measure and actively try to limit. This could allow you to run even very large model training workloads without the need for power-hungry cooling systems.