Remove tag healthcare-it
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Applications and innovations in the Internet of Things (IoT)

Hacker Earth Developers Blog

Healthcare. By 2020, the smart healthcare market value is predicted to be US$ 169.32 The major application of IoT in healthcare has been in remote health monitoring or telehealth. IoT devices tagged with sensors can be used in hospitals to keep track of medical equipment such as nebulizers, wheelchairs, and defibrillators.

IoT 283
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10 most in-demand generative AI skills

CIO

These skills include expertise in areas such as text preprocessing, tokenization, topic modeling, stop word removal, text classification, keyword extraction, speech tagging, sentiment analysis, text generation, emotion analysis, language modeling, and much more. So what skills are companies hiring for exactly?

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Perficient Healthy Lakehouse Accelerates Time and Cost to Value

Perficient

In part 1 of our blog series , we talked about driving ROI in healthcare with data analytics modernization. In this blog, we will discuss accelerating time and money to value with the Perficient Healthy Lakehouse. We’ve also learned a bit about what can be done to reduce the lift involved. And getting it wrong can be disastrous.

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Demystifying Multimodal LLMs

Dataiku

In this blog post, we delve into the workings of M-LLMs, unraveling the intricacies of their architecture, with a particular focus on text and vision integration. Picture this : You’re scrolling through your favorite social media platform, and you come across a stunning image of a picturesque landscape.

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Getting to know Sitecore Search – Part 5

Perficient

Background When I started this blog series, I followed the developer guide from Sitecore [link]. Add the beacon javascript to the head tag of your site and add your widgets to the page [link]. I added a rule for healthcare that pins “success stories” in the third position. I thought the integration would be easy.

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Keys to Ensure that Data isn’t Slowing Down your Innovation Efforts

Cloudera

It makes more sense to analyze and derive insights from it, and then place it in the data lake — properly tagged for easy access later. It makes more sense to analyze and derive insights from it, and then place it in the data lake — properly tagged for easy access later. It requires rethinking the data lifecycle itself. .

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

The answer to all your question is this blog. 3) Healthcare Machine Learning made accurate healthcare diagnoses and therapies possible. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives. It has become an inevitable part of our work and life. Now, what is Machine Learning?