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

Alation

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. Gartner predicts that by 2030, synthetic data will completely overshadow real data in AI models. Read the Forrester Wave: Data Governance Solutions, Q3, 2021.

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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Several factors make such scaling difficult: Massive Data Growth: Global data creation is projected to exceed 180 zettabytes by 2025. Real-time Analytics: The amount of real-time data in the global datasphere will grow from 9.5 zettabyes in 2020 to 51 zettabytes in 2025. Just starting out with analytics?

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Why Financial Services Firms are Championing Natural Language Processing

CIO Business Intelligence

Research by the Economist Intelligence Unit found that 86% of financial services firms plan to increase their AI-related investments through 2025. . by 2025, according to IDC. Intel® Technologies Move Analytics Forward. Data analytics is the key to unlocking the most value you can extract from data across your organization.

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6 strategic imperatives for your next data strategy

CIO Business Intelligence

So much, in fact, that it’s worth measuring what percentage of your portfolio utilizes data and analytics as part of the offering, and tracking this over time. Of course, no set of imperatives for a data strategy would be complete without the need to consider people, process, and technology.

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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. Intel® Technologies Move Analytics Forward.

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

DataKitchen

Productivity does not come through the fingers of each data engineer; it comes from building a system around those engineers that allows them to run production with minimal errors and move things into production quickly, with low risk, so they can focus on making their customers successful. Summary: 10x your data engineering game.

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Transforming FSI in ASEAN with Cloud Analytics

CIO Business Intelligence

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. .