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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

IoT technologies enable planners to deploy energy-efficient streetlights that detect human presence and consume energy only when needed. And it saves money for the City services as garbage collection rounds can be optimized. public events like concerts or marathons. public events like concerts or marathons.

IoT 145
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

IoT 77
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Breaking barriers in geospatial: Amazon Redshift, CARTO, and H3

AWS Big Data

In our increasingly interconnected world, where every step we take, every location we visit, and every event we encounter leaves a digital footprint, the volume and complexity of geospatial data are expanding at an astonishing pace. To learn more details about their benefits, see Introduction to Spatial Indexes.

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AI, predictive analytics top list of hot technologies for banks

CIO Business Intelligence

These technologies include deep learning , AI-powered robotic process automation , augmented reality , data mesh (a distributed architecture for data management), blockchain or distributed ledger technology, low-code platforms, progressive web apps , service mesh and event-driven architectures.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 3

BizAcuity

Under this model, the strategy is to make use of both private (for highly confidential data) and public cloud infrastructure for cost and performance optimization. Edge computing comes as a boon for industries that depend on IoT like logistics and telecommunications. So as to cut latency and optimize the cloud storage system.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. That way, any anomaly is identified with high accuracy, as it learns from historical trends and patterns: every unexpected event will be notified, and an alert sent.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events. billion by 2030.