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How AI orchestration has become more important than the models themselves

CIO

To integrate AI into enterprise workflows, we must first do the foundation work to get our clients data estate optimized, structured, and migrated to the cloud. It requires the ability to break down silos between disparate data sets and keep data flowing in real-time. to autonomously address lost card calls.

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Introducing CDP Data Engineering: Purpose Built Tooling For Accelerating Data Pipelines

Cloudera

For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. Enterprise Data Engineering From the Ground Up. Figure 1: Key component within CDP Data Engineering.

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What does an AI consultant actually do?

CIO

In this context, collaboration between data engineers, software developers and technical experts is particularly important. Technologies, frameworks and standards change quickly if you want to be in the game for the long haul, you have to stay on top of things. These include: Analytical and structured thinking.

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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics.

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1. Streamlining Membership Data Engineering at Netflix with Psyberg

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Psyberg: The Game Changer!

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How data science gives Games 24×7 a hyperpersonalized edge

CIO

India-based Games24x7, a digital-first company, believes that “the best gaming experiences are created at the intersection of entertainment and science.” The success of a game hinges on meeting the players’ needs and expectations. The success of a game hinges on meeting the players’ needs and expectations.

Games 103
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Is data observability recession-proof?

TechCrunch

.” If you are wondering how serious data quality issues are, Monte Carlo CEO Barr Moses has an answer: “Data quality issues still plague even the most data-driven companies. Just a few weeks ago, Unity, the popular gaming software company, cited ‘bad data ’ for a $110 million impact on their ads business.”

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