Data Lake Data Processing Data Quality Risk 
CIO Business Intelligence
MARCH 18, 2024
There are a lot of risks and a lot of land mines to navigate,” says the analyst. Coming to grips with risk The first step in making any bet — or investment — is to understand your ability to withstand risk. This ensures that none of our sensitive data and intellectual property are availed to an outside provider.”
IBM Big Data Hub
MAY 9, 2023
Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. But these powerful technologies also introduce new risks and challenges for enterprises. Data: the foundation of your foundation model Data quality matters.
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Alation
NOVEMBER 28, 2022
It is also hard to know whether one can trust the data within a spreadsheet. And they rarely, if ever, host the most current data available. Sathish Raju, cofounder & CTO, Kloudio and senior director of engineering, Alation: This presents challenges for both business users and data teams.
AWS Big Data
JULY 20, 2023
One key component that plays a central role in modern data architectures is the data lake, which allows organizations to store and analyze large amounts of data in a cost-effective manner and run advanced analytics and machine learning (ML) at scale. Why did Orca build a data lake?
CIO Business Intelligence
JANUARY 30, 2024
“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. There are several things you need to report attached to that number.”
AWS Big Data
MARCH 26, 2024
A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.
datapine
APRIL 15, 2020
You need to determine if you are going with an on-premise or cloud-hosted strategy. That way, your feedback cycle will be much shorter, workflow more effective, and risks minimized. Testing will eliminate lots of data quality challenges and bring a test-first approach through your agile cycle. Construction Iterations.
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