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6 strategic imperatives for your next data strategy

CIO Business Intelligence

CIOs should prioritize an adaptable technology infrastructure that eliminates data silos, ensures security and governance, and embraces a unified horizontal platform for streamlined data management, reducing integration complexities, skilled workforce requirements, and costs. Even physical assets can be monetized this way.

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. billion by 2030.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

How do you scale an organization without hiring an army of hard-to-find data engineering talent? Or, as one of our customers put it, “How do I increase the total amount of team insight generated without continually adding more staff (and cost)?” Staff turnover, stress, and unhappiness. Summary: 10x your data engineering game.

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Gartner Data & Analytics Summit 2022 in London: 3 Key Takeaways

Alation

Synthetic data is growing in popularity as a tool for data scientists. This is data that’s artificially produced to mimic and model real events: It retains the structure of the original data but is not the same as real data. The business benefits of a data fabric are real. Conclusion.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 billion market by 2025. Let’s look at a few ways that different industries take advantage of streaming data.

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Preventing Next-Generation Fraud with Graph Database Technology

CIO Business Intelligence

trillion by 2025. Identifying more complex fraud requires a whole new way of looking at data. Traditional relational databases are limited at capturing the relationships between data points. The confines of tabular data models and rigid schemas make it difficult to add new or different kinds of connections.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. With the size of data and dropping attention spans of online users, digital personalization has become one of the top priorities for companies’ business models. million users.