Data has only become more important as organizations look ahead to what a post-pandemic world could look like. Some of the new approaches being embraced to help drive greater benefit from data are DevOps and DataOps, data quality and governance initiatives, hybrid and multi-cloud architectures, IoT and edge computing, and a range of next-gen databases.
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AI continues to fuel a hotbed of activity from automating mundane tasks to enhancing decision making, and progress in this area looks to heat up even more in 2023. Here, IT leaders share their perspectives on where AI is headed and what can be expected to change in 2023.
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Entering the post-pandemic era, and faced with an uncertain economy, many software vendors have been looking for sources of additional revenue, and they have found it—through customer software audits. These software audits have become a big business, serviced by prominent accounting and consulting firms on behalf of vendors, and often incurring millions of dollars of extra charges to customers.
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A renewed interest in data-centric AI is driving increased model outcome accuracy and introducing the concept to new applications. Data-centric AI is gaining momentum as engineers working with AI shift their focus from models to data. Whereas engineers previously took a model-centered approach to improve the prediction outcomes and accuracy of a model, current dynamics are causing many to look to the quality of input data to improve outcomes.
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