Remove Data Lake Remove IoT Remove Modeling Remove Reporting
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Data Lakes: What Are They and Who Needs Them?

Jet Global

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.

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Otis takes the smart elevator to new heights

CIO Business Intelligence

To date, the company, which primarily manufactures elevators for corporate buildings but also has some residential units in its portfolio, also reports a reduction in technician site visits of between 10% and 15% and a drop in call backs of between 10% and 20%. based company’s elevators smarter.

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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

Enabling consistency in the data sets from these varied sites is integral to DS Smith’s analytics strategy, as well as for anticipated changes in the company’s technology and business models, Dickson says. Energy optimization is another key aspect of DS Smith’s data and sustainability pipeline, the CIO says.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

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Achieving Trusted AI in Manufacturing

Cloudera

The universal industrial data challenge Data — as the foundation of trusted AI — can lead the way to transform business processes and help manufacturers innovate, define new business models, and establish new revenue streams. Eliminate data silos. That is a very low number.

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PepsiCo transforms for the digital era

CIO Business Intelligence

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company. billion in revenue.