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As more industries mature digitally and widely adopt AI and machine learning technologies, 2023 will be a pivotal year for organizations looking to deploy emerging tech solutions company-wide to fulfill business objectives. 1- Treating data as a strategic business asset . Find out more about CDP for modern dataarchitectures here.
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At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.
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In this post, which is a matured version of my opening keynote at Ontotext’s Knowledge Graph Forum 2023 , I will start with evidence about the impact of complexity on the growth and efficiency of big enterprises. In both cases, semantic metadata is the glue that turns knowledge graphs into hubs of data, metadata, and content.
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As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern dataarchitectures such as data lakehouses, data meshes, and data fabrics.
“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. The complexity is at a much higher level.”
But not all data is best suited for the cloud. While the share of IT spend dedicated to public cloud is expected to decline by 4% between 2020 and 2023, hybrid and multicloud spend is expected to increase up to 17%.
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While enabling organization-wide efficiency, the team also applied these principles to the dataarchitecture, making sure that CLEA itself operates frugally. After evaluating various tools, we built a serverless data transformation pipeline using Amazon Athena and dbt. However, our initial dataarchitecture led to challenges.
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