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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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5 recommendations to get your data strategy right

IBM Big Data Hub

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines. Data preparation, data governance, and data lineage.

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What Whirlpool’s CIO does to make its digital business models run end to end

CIO Business Intelligence

The company employs 69,000 around the world as well and Danielle Brown, the company’s SVP and CIO, has a unique perspective on how best to lead the company’s digital transformation strategy. The second is leveraging IoT and AI to support new digital services and new digital products that we can offer our consumers.

IT 133
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Lexmark’s Vishal Gupta on infusing every decision with AI

CIO Business Intelligence

Vishal Gupta is CTO & CIO, SVP Connected Technology at Lexmark International, where he is responsible for all of IT corporate strategy, security operations, software, and analytics. We embedded about 120 IoT sensors in our printers. What follows are edited excerpts of that conversation. And we did that over time.

IoT 96
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Connected products at the edge

IBM Big Data Hub

There are many overlapping business usage scenarios involving both the disciplines of the Internet of Things (IoT) and edge computing. This use case involves devices and equipment embedded with sensors, software and connectivity that exchange data with other products, operators or environments in real-time.

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What Happens When Your Cyber Defenses Are Breached?

TDAN

It’s past time for a comprehensive data security strategy Information Security professionals tend to focus on network, cloud, application, and IoT security along with perimeter defense. These are essential and provide a high degree of protection for systems and files.

IoT 52