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Smart Cities Increase Efficiency, Safety and Sustainability

CIO Business Intelligence

Doral realizes a portfolio of smart city initiatives, including one called “Quality of Place.” Because the safety and security that Doral residents experience are key to their quality of life, the initiative emphasizes security measures, which have intense data gathering and processing workloads.

IoT 145
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The top 15 big data and data analytics certifications

CIO Business Intelligence

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. The number of data analytics certs is expanding rapidly.

Big Data 127
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Consider the Benefits of Augmented Analytics

Smarten

‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ Why is augmented analytics an important factor in your success? It is crucial to present the benefits and advantages of augmented analytics when requesting project approval from your management team.’

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What’s New and What’s Next in 2023 for HPC

CIO Business Intelligence

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

For example, consider identifying a single, measurable use case for AI that gets you started with a proof of concept (PoC) that could be a stepping stone to other initiatives. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Analytics 113
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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. Topics covered here range from backtesting and benchmarking approaches to data quality issues, software tools, and model documentation practices.

Big Data 263