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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

We no longer should worry about “managing data at the speed of business,” but worry more about “managing business at the speed of data.”. One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT).

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Achieving Trusted AI in Manufacturing

Cloudera

According to Gartner , 80 percent of manufacturing CEOs are increasing investments in digital technologies—led by artificial intelligence (AI), Internet of Things (IoT), data, and analytics. Trusted AI begins with trusted data What resolves the data challenge and fuels data-driven AI in manufacturing?

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How data teams move from offense to defense in 2023

CIO Business Intelligence

And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. This involves a mindset shift, and, of course, a comprehensive data strategy.

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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

To reap the benefits, organizations need to modernize with a decentralized data strategy that delivers the speed and flexibility necessary for driving smarter outcomes for the business. The concept of the edge is not new, but its role in driving data-first business is just now emerging. How edge refines data strategy.

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Big Data’s Role in Improving Product Lifecycle Management

TDAN

We’re living in a time where data is a crucial part of everything. quintillion bytes of data, and that number is only growing more extensive with the arrival of the Internet of Things. More importantly, this data doesn’t just stand still. Every day, we generate around 2.5 It moves, accumulates, and evolves.

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Optimizing a Centralized Approach for the Modern Distributed Data Estate

CIO Business Intelligence

With the focus shifting to distributed data strategies, the traditional centralized approach can and should be reimagined and transformed to become a central pillar of the modern IT data estate. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge.