Remove 2020 Remove Data Collection Remove IoT Remove Modeling
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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. New Avenues of Data Discovery.

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What's trending in data in 2020?

Data Insight

Though we’re still in the early days of 5G, we expect to see improvements to latency and increased data volumes passing through the network in 2020 - more devices, more complex data capture… more, more, and more. We expect this trend to continue to evolve and be debated in 2020. What does this mean for consumers?

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.

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Azure Cloud Is Transforming the Way We Run Our Businesses in 2021

Smart Data Collective

For instance, Azure Digital Twins allows companies to create digital models of environments. It is an Internet of Things (IoT) platform that promotes the creation of a digital representation of real places, people, things, and business processes. This is a game-changer in industrial IoT applications.

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Reimagining technology for the next generation

CIO Business Intelligence

These new, digitally enhanced worlds, realities, and business models are poised to revolutionize both life and enterprise in the next decade, as explored in Accenture’s recent Technology Vision 2022 report. Here are five implications these technologies will have on security and privacy as we build our collective future. .

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. trillion in economic benefits by 2030.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

Collecting workforce data as a tool for talent management. A data-driven approach to talent management and development brings about greater transparency, reduced attrition and more effective training and enablement. These models are then used for anomaly detection or inferences about what will happen. . Risk Management.