Remove 2023 Remove Data Quality Remove Data Transformation Remove Technology
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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

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The importance of data ingestion and integration for enterprise AI

IBM Big Data Hub

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

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Tackling AI’s data challenges with IBM databases on AWS

IBM Big Data Hub

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

In 2021, Showpad decided to take the next step in its data evolution and set forth the vision to power innovation, product decisions, and customer engagement using data-driven insights. This required Showpad to accelerate its data maturity as a company by mindfully using data and technology holistically to help its customers.

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Unified Data Clears the Roadblocks of Your Hybrid Cloud Journey

Jet Global

Accept and Address the Financial Impact of Cloud Adoption, 2023 Download Now Hybrid ERP – The Best of Both Worlds? This gradual transition minimizes disruption to ongoing financial processes and provides flexibility in adapting to cloud technology at a manageable pace.

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