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How to Use Big Data For Improving Driver Safety

Acuvate

This goal seems achievable with massive advancements in automotive technology and big data. Today, one of the biggest use cases of big data and advanced analytics in the automobile and transport industry is to leverage data to improve the safety of vehicles and on the road. Microsoft Azure Data Factory.

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How Big Data And AI Are Aiding The Fight Against Pandemics

Acuvate

Be it big data, predictive analytics tools or even AI powered service robots, technology plays a huge role in tracking the pandemic, assessing its spread, and working towards its containment. This raw data is then analyzed with machine learning algorithms to identify patterns and trends. Process Healthcare Claims.

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The Challenges being Faced by Innovation Consultants

Paul Hobcraft

From my perspective I’ve been looking at a real challenge today, that many consultants offering innovation services are not providing real sustaining consulting value to clients, only ad-hoc services. In many ways, the consulting industry specializing in innovation is its own worst enemy.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of. Myth 1: Only large companies with big data need data analytics.

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. To know more, please feel free to schedule a personalized consultation with our experts.

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Extracting Actionable Insights From Data: What you need to know

Acuvate

The data you have just compiled isn’t meaningful yet or even ready for processing. In this step, you need to reformat the data in a way that it becomes suitable for machine learning processing. For this, you would be required to perform decompressing, filtering or normalization on your data.

Data 90
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Advanced Analytics For Insurance Industry: 6 Major Use Cases

Acuvate

Advanced analytics helps to mine through big data for actionable insights which can be used for a plethora of business use cases. The company predicted the probability of drivers having incidents by integrating telematics and tachograph infringement data with weather data and harnessing the data set with machine learning.