Data Governance Data Management High Quality Data Technology 
Precisely
FEBRUARY 23, 2024
Their ability to generate business value is directly related to the quality of their data, however. Unless they have high-quality data, business users simply cannot deliver optimal results. The top quartile, in contrast, reported better results, which were supported by better processes and technology.
Data Engineering Weekly
MARCH 3, 2024
Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. This approach helps maintain accuracy, relevance, and compliance in generative AI applications.
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The Modern Data Company
JULY 18, 2023
It should address specific data challenges, such as improving operational efficiency, enhancing customer experience, or driving data-driven decision-making. Data Quality and Reliability Ensuring data quality is crucial for any data product.
Cloudera
MAY 18, 2022
Management has to see the value in the transformation to support it, and then work to get buy-in from all stakeholders. When implementing AI, the organization as a whole has to trust the technology and its potential to bring positive change. Address data management . Envision use cases.
Ascend.io
JANUARY 10, 2024
Creating a Robust AI Ecosystem: People, Process, and Technology The difference between a successful AI implementation and a failed attempt often hinges on the strength of the foundational framework established at the outset. And technology? AI models are only as good as the data they consume, making continuous data readiness crucial.
The Modern Data Company
JULY 18, 2023
It should address specific data challenges, such as improving operational efficiency, enhancing customer experience, or driving data-driven decision-making. Data Quality and Reliability Ensuring data quality is crucial for any data product.
The Modern Data Company
JULY 18, 2023
It should address specific data challenges, such as improving operational efficiency, enhancing customer experience, or driving data-driven decision-making. Data Quality and Reliability Ensuring data quality is crucial for any data product.
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