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Impressive Ways that AI Improves Business Analytics Insights

Smart Data Collective

trillion on AI by 2030 ? With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. As unstructured data comes from different sources and is stored in various locations. Of course, challenges with data analysis will always be there.

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How digital humans can make healthcare technology more patient-centric

CIO Business Intelligence

While healthcare staffing challenges are not new, they are forecasted to reach crisis levels in the coming years. For nursing staff alone, the International Centre on Nurse Migration projects a 13 million shortage by 2030, an increase from 6 million pre-pandemic. Large Language Models (LLMs).

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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 billion by 2030. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. Data cleaning is a vital data skill as data comes in imperfect and messy types.

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Boost Your Business Performance with Artificial Intelligence [AI].

Data Insight

trillion in 2030*. Indeed, AI is adding significant value in a range of different industries: Banking & finance: Fraud detection, fast and accurate credit scoring, automated decisioning and data entry. Manufacturing: Forecasting expected demand, process automation, precision cutting, analysis of IoT data.

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Leading innovation in digital infrastructure for a digital and sustainable APAC

CIO Business Intelligence

Oxford Economics, a leader in global forecasting and quantitative analysis, teamed up with Huawei to develop a new approach to measuring the impact of digital technology on economic performance. The digital economy has become a key force for economic growth and social development.