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How today’s enterprise architect juggles strategy, tech and innovation

CIO

In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns.

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Rethinking enterprise architects’ roles for agile transformation

CIO

CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards. The sponsor’s primary responsibility is to secure funding and justify the business value of the investment.

Agile 218
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From project to product: Architecting the future of enterprise technology

CIO

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform.

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise. Now, EDPs are transforming into what can be termed as modern data distilleries.

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Partner Webinar: A Framework for Building Data Mesh Architecture

Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri

Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units. Leveraging Dremio for data governance and multi-cloud with Arrow Flight.

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When is data too clean to be useful for enterprise AI?

CIO

But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects. AI needs data cleaning that’s more agile, collaborative, iterative and customized for how data is being used, adds Carlsson. The great thing is we’re using data in lots of different ways we didn’t before,” he says.

Data 211
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Zero Trust everywhere: How MGM Resorts found agility and security with Zscaler

CIO

When AI is added to the mix, it becomes possible to detect anomalies and enforce policies in real time, making enterprises far more agile against threats. In Zscalers model, every connection is policy-driven and independent, with no traditional network to attack. Stephen described how this shift has improved resilience at MGM.

Agile 159
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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. 451 Group’s research indicates 57% of the enterprises currently using a data lake cite improved business agility as a benefit.