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A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies. Take a proactive approach. Leverage AI to enhance governance.
A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies. Take a proactive approach. Leverage AI to enhance governance.
With global data creation projected to grow to more than 180 zettabytes by 2025 , it’s not surprising that more organizations than ever are looking to harness their ever-growing datasets to drive more confident business decisions.
The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. The following four components help build an open and trusted data foundation. But it’s not so simple.
Here are some telling predictions from Gartner analysts: By 2024, 90% of data quality technology buying decisions will prioritize ease of use, automation, operational efficiency, and interoperability.
That requires data integration to unlock the information stored in siloed systems. Data quality issues often present a significant challenge to data integrity. Next, well take a closer look at your datas role in AI success. Read the report Why Does Data Integrity Matter for AI Success? The results are in!
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