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What is enterprise architecture? A framework for transformation

CIO

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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Insight Partners leads $30M round into Metabase, developing enterprise business intelligence tools

TechCrunch

Open-source business intelligence company Metabase announced Thursday a $30 million Series B round led by Insight Partners. Due to Metabase often being someone’s first business intelligence tool, he is also doubling down on resources to help educate customers on how to ask questions and learn from their data.

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A comparative assessment of digital transformation in Italy

CIO

Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.” Therefore, we can directly alert our colleagues on their smartphones for possible interventions.

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The AI continuum

CIO

Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. 1] Intel, Palo Alto Networks Automates Cybersecurity with Machine Learning , Feb 28, 2023, accessed December 2023 Artificial Intelligence

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

1] To get the most from their investments, factories of the future will need to be driven by data and optimized with artificial intelligence (AI). An edge computing architecture can begin to help solve these problems. 2] As with any advancement in technology, edge computing comes with benefits and drawbacks.

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What is a Metrics Store?

Perficient

Sitting snugly between your upstream data warehouses and downstream business applications, this innovative layer fundamentally transforms how metrics are handled. It’s a pivotal component in a headless BI architecture, enabling metrics to be defined once and then seamlessly shared across multiple tools through APIs.

Metrics 52