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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). In addition to using cloud for storage, many modern data architectures make use of cloud computing to analyze and manage data.

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Win/Loss Analysis: Everything You Need to Know

Crayon

Win/loss analysis is an essential practice for anyone who wants to better understand their competitive landscape and continuously optimize processes across sales, marketing, product management, and beyond. By the time you’re done reading, you’ll have an answer to each of the following: What is win/loss analysis?

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4 Must-Ask Questions For Your Win/Loss Interviews

Crayon

Win/loss analysis—the process of determining why deals are won or lost—yields insights that practically everyone across your organization can use to their advantage. Product managers get insights that they can use to adjust their roadmap priorities. Sales reps get insights that they can use to improve their objection-handling tactics.

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AI & the enterprise: protect your data, protect your enterprise value

CIO

Data theft leads to financial losses, reputational damage, and more. And with powerful AI techniques that extract deep details from stolen datasets, even small data losses can have seismic impacts. Human error in data loss Human error remains a critical weak link in d a ta loss.

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AI-powered information management: a catalyst for operational success in the energy industry

CIO

Managed, on the other hand, it can boost operations, efficiency, and resiliency. In another Foundry survey , decision-makers across all industries cited increased productivity (42%), improved decision-making (40%) and optimized content performance (40%) as top potential benefits of AI-enabled content management. The good news?

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Why ethical AI should be important to CIOs

CIO

In the past, the focus was on keeping the lights on, managing infrastructure, ensuring stability of systems, or just ensuring that integration is happening. There was a survey done by DataRobot in 2022, and algorithmic bias actually caused a loss in revenue of 62%, and a 61% loss in customers. The CIO role is changing.

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data. Loss of data can be costly for an enterprise. The most common cause of loss of data is human error. Cost of data loss and the factors that drive its cost.

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