Martech Series
SEPTEMBER 2, 2022
Welocalize shares how utilizing NMT, NLP, and ML technologies within global healthcare provides patients with a more personalized experience. healthcare system as much as $150 billion in annual savings by 2026. Chatbots use natural language processing (NLP) and machine learning (ML) to understand context, emotion, and user intent.
Basis
JULY 20, 2022
Healthcare is personal— incredibly personal. healthcare would be straightforward and simple to understand. The United States healthcare system is particularly complex, challenging to navigate, and often a source of hidden or unforeseen costs. What’s a healthcare marketer to do? Let’s dive in: #1: The Cost of Healthcare.
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The Ad Tech Blog
JULY 17, 2024
Federated learning trains models across multiple decentralized devices. Combining these technologies enhances privacy in machine learning. HE is particularly useful in scenarios where data privacy is paramount, such as in healthcare and finance. How does federated learning work?
The Ad Tech Blog
MARCH 10, 2024
As healthcare technology ventures continue to push the boundaries of innovation, understanding the legal framework that governs patient data privacy is not just optional — it’s imperative. Can startups use patient data for machine learning without violating HIPAA? Why Compliance Matters ? – Yes, but with conditions.
Martech Series
FEBRUARY 14, 2023
This tool automatically evaluates and scores customer interactions using best-practice criteria for the healthcare industry. This tool automatically evaluates and scores customer interactions using best-practice criteria for the healthcare industry.
The Ad Tech Blog
JUNE 2, 2024
Real-time anomaly detection systems often employ machine learning algorithms to analyze data patterns and identify deviations. As digital advertising increasingly relies on AI and machine learning to deliver personalized ads, there is a growing concern about the collection and use of user data.
The Ad Tech Blog
MAY 4, 2024
Understanding Federated Learning in Ad Tech Key Points Federated learning allows multiple devices to contribute to machine learning models without sharing the data itself, enhancing privacy. Frequently Asked Questions What is federated learning? How does federated learning enhance privacy?
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