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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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Is your data strategy ready for gen AI? LOB leaders may disagree

CIO Business Intelligence

Rapid advancements in artificial intelligence (AI), particularly generative AI are putting more pressure on analytics and IT leaders to get their houses in order when it comes to data strategy and data management. If you go out and ask a chief data officer, a head of IT, ‘Is your data strategy aligned?’,

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What is your data strategy for an AI future?

CIO Business Intelligence

The AI black box Although costly, checking and correcting the data used in corporate decision making and business operations has become an established practice for most enterprises. But what about most enterprises without access to such data? One answer to this impending problem will be an increased use of synthetic training data.

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Modular architecture drives productivity and risk management at Gilbane

CIO Business Intelligence

Our analytics capabilities identify potentially unsafe conditions so we can manage projects more safely and mitigate risks.” There’s also investment in robotics to automate data feeds into virtual models and business processes. Put your data strategy in business turns. Hire the right architects.

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Building a Data Strategy for Defence Partners

Alation

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

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Use a Data Strategy to Make Your Startup Profitable

Smart Data Collective

In the information, there are companies with big data strategies and those that fall behind. Big data and business intelligence are essential. However, the success of a big data strategy relies on its implementation. VentureBeat reports that only 13% of companies are delivering on their big data strategies.

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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.