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Is Google BigQuery The Future Of Big Data Analytics?

Smart Data Collective

Achieving your company’s target goals can, however, be difficult if you’re unable to access all the relevant and useful data your business has. While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals.

Big Data 132
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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.

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Cathay Pacific to take cloud journey to new heights

CIO Business Intelligence

Instead, the publicly held operator of Cathay Pacific Airlines and HK Express is shifting from migration to optimization mode in an effort to wrest additional benefits from its all-in cloud transformation. Even as its cloud journey reaches cruising altitude, Cathay Pacific Group IT is not slowing down.

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization. The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers.

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Big Data, Big Benefits: What Leaders Say

Sisense

Data’s more influential than ever, but just how much data is there? In The Wide World of Data , we dig into astonishing facts and trends about the size and growth of the datasphere, how data is being used, and how it truly makes up the entire world around us. Information about the size and growth of data is abundant.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. With a framework and Enterprise MLOps, organizations can manage data science at scale and realize the benefits of Model Risk Management that are received by a wide range of industry verticals.

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When models are everywhere

O'Reilly on Data

Regardless of how we think of ourselves, humans aren’t terribly good at trading off short-term stimulus against long-term benefits. And anger and polarization are bankable commodities that drive the feedback loop in an engagement-driven world. Model Cards for Model Reporting by Mitchell et al. READING LIST.

Modeling 188