Remove Internet of Things Remove Optimization Remove Recreation/Entertainment
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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

Consequently I missed the incredible in-person experience of the brilliant speakers on the main stage, the technodazzle of 100’s of exhibitors’ offerings in the exhibit arena, and the smooth hip hop sounds from the special guest entertainer — guess who ? The new Splunk Enterprise 9.0 Observability on-demand).

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The role of IoT in shaping smart cities

CIO Business Intelligence

Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and optimized urban operations. For residents, IoT-enabled homes allow for the remote management of lighting, temperature, security, and entertainment systems.

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Building a unified developer experience for z/OS and cloud applications with the IBM Z and Cloud Modernization Stack

IBM Big Data Hub

Emerging cloud-based technology trends like artificial intelligence (AI) , the Metaverse, the Internet of Things (IoT) and edge computing are evolving at a rapid pace, seemingly adding new capabilities every few months to fundamentally transform how people and organizations interact with them.

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Digital transformation examples

IBM Big Data Hub

Hybrid cloud – The hybrid cloud environment creates a single, optimal cloud for public cloud private cloud and on-premises infrastructure. These solutions focused on optimization for the users and required a rethinking of how processes were done in the past. million km.

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Microcontrollers vs. microprocessors: What’s the difference?

IBM Big Data Hub

Cost-effective and small-in-size, low-power microcontrollers are optimized for all-in-one functionality. As a result, these units are best used for specific applications like automotive infotainment systems and Internet-of-Things (IoT) devices. This integrated design improves reliability by reducing potential points of failure.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

They should also provide optimal performance with low or no tuning. It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers.

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Better Preference Predictions: Tunable and Explainable Recommender Systems

Insight

Internet of Thing (AWS IoT) Are you looking to transition into the field of machine learning in Silicon Valley, New York, or Toronto? For example, an engineer might have more movies in common with a technician than an entertainer. For this reason, after taking the user profiles that have a similarity score to Tom higher than .7,