Big Data Case Study IoT Machine Learning 
O'Reilly Media - Ideas
FEBRUARY 4, 2019
In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Data Platforms.
OTS Solutions
JUNE 3, 2022
At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. Modern technical advancements in healthcare have made it possible to quickly handle critical medical data, medical records, pharmaceutical orders, and other data. On-Demand Computing.
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Apiumhub
FEBRUARY 6, 2023
In this event, hundreds of innovative minds, enterprise practitioners, technology providers, startup founders, and innovators come together to discuss ideas on data science, big data, ML, AI, data management, data engineering, IoT, and analytics.
Sunflower Lab
JUNE 8, 2023
Intelligent Healthcare Solutions for Remote Treatment Modoscript partnered with Sunflower Lab to improve the remote health monitoring of chronically ill patients through IoT. Instead of keeping to the usual pen-and-paper record approach, they have EHR and patient treatment data updated in real-time through Galen data.
Apiumhub
JULY 5, 2018
Today, companies like Alibaba, Rakuten, eBay, and Amazon are using Al for fake reviews detection, chatbots, product recommendations, managing big data, etc. Now, let’s go over some interesting data from a recent Ubisend report : • 1 out of 5 consumers is willing to purchase goods from a chatbot. • The era of unicorns.
Gorilla Logic
JUNE 5, 2018
In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. In this post, I introduce IoT from an embedded software – or systems – perspective. On the other hand, if you don’t know what IoT is, then please make a quick search and we’ll wait for you. Some of the IoT Challenges.
Tandem
APRIL 2, 2024
With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.
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