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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

As our customers continued to ask for more capabilities, we increased the ingestion throughput limit of each On-Demand stream from 200MB/s to 1GB/s in March 2023, and then to 2GB/s in October 2023, to accommodate higher throughput workloads.

IoT 56
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Role of Workforce Analytics in Event Industry

BizAcuity

Through workforce analytics, companies can get a comprehensive view of their employees designed to interpret historical trends and in creating predictive models that lead to insights and better decisions in the future. Derives metrics for benchmark interpretation and trends.

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CIO 100 Award winners prove the transformative value of IT

CIO Business Intelligence

And it yields multiple business metric improvements, such as limiting surplus inventory. The Behavioral Health Acuity Risk (BHAR) model leverages a machine learning technique called random forests, which can be natively hosted in the electronic health record and updated in near-real time, with results immediately available to clinical staff.

IT 91
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. The predictive models, in practice, use mathematical models to predict future happenings, in other words, forecast engines. BN by 2023, with a CAGR of 13.6%

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Embedded BI Can Encourage Data Literacy!

Smarten

Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’. Benefits of Embedded BI.

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Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

Moreover, as most predictive analytics capabilities available today are in their infancy — they have simply not been used for long enough by enough companies on enough sources of data – so the material to build predictive models on was quite scarce. Last but not least, there is the human factor again.