Remove insights data-architecture
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Accelerating Industry 4.0 at warp speed: The role of GenAI at the factory edge

CIO

implementations that strive to create plant-wide, fleet-wide, and enterprise-wide visibility, insights, and improvements. Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. Data privacy and security. This creates barriers to Industry 4.0

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As insurers look to be more agile, data mesh strategies take centerstage

CIO

In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well. As data volumes continue to increase alongside a correlating number of business requests, modern insurance data leaders face a nuanced set of challenges. Enter data mesh.

Insurance 246
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Trust Bank’s commitment to CX as a digital disruptor

CIO

How this digital-first bank developed a differentiated user experience for its customers provides insight into what it takes to succeed in such a highly competitive and rapidly evolving industry. The arteries of the entire bank are pumping data and events all the time, and you have services that are listening to all these events.

Banking 246
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Machine learning model serving architectures

Xebia

After months of crunching data, plotting distributions, and testing out various machine learning algorithms you have finally proven to your stakeholders that your model can deliver business value. Selecting the right architectural serving pattern is paramount in creating the most business value from your model.

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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.

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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. EA can offer support for redesigns and reorganization, especially during major organizational changes, mergers, or acquisitions.

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Huawei unveils four strategic directions for the future of finance

CIO

Finance is poised to undergo a transformation, as Artificial Intelligence (AI) steps in to make real-time decisions using vast data sets. Mr. Cao highlighted that globally, there will soon be 100 billion connections, and with those, an explosion of data to the zettabyte level. This model treats entire data centres as computers. “We

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Top Considerations for Building an Open Cloud Data Lake

Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.

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How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools. Driving a self-service analytics culture with a semantic layer.