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Real-Time Data in Machine Learning: Challenges and Solutions

Dataversity

In today’s dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated. There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution).

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Role of Workforce Analytics in Event Industry

BizAcuity

A growing number of organizations especially in the event management industry or sector are using workforce analytics to examine and act upon data about their people in the workplace. Workforce analytics in Event Industry – Its Relevancy in today’s HR environment.

IBM cost 183
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Is Your Database Built for Streaming Data?

Dataversity

When it comes to data sources, analytic apps developers are facing new and increasingly complex challenges, such as having to deal with higher demand from event data and streaming sources. The post Is Your Database Built for Streaming Data? Yet while streams are clearly the […].

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Ways Big Data Creates a Better Customer Experience In Fintech

Smart Data Collective

To ensure their customers have a satisfactory experience, financial businesses will use big data analytics to tweak their services across various platforms to suit a customer’s needs. They will also use historical and real-time data to identify possible customer challenges. Better UI/UX based on A/B testing.

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The Art and Science of FP&A Storytelling

Timo Elliott

Not just the pandemic, but also global trade tensions, Brexit in Europe, and things like the increasing frequency of extreme weather events. Business people want more data than ever. Third, because everything is changing so fast, real-time access to data is more important than ever.

Planning 348
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What is Streaming ETL?

Astera

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. It allows the automatic extraction and transformation of data.

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How Data and Smart Technology Are Helping Hospitalists

Smart Data Collective

For example, a study published in the Journal of Medical Internet Research found that using electronic prescribing systems can reduce the time doctors spend on paperwork, allowing them to see more patients and improving the efficiency of their practice. Improving Patient Safety.

Big Data 293