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How Can Healthcare Marketers Navigate Reporting in a Post-OCR Guidance World that Aims to Protect Patient Privacy? 

Brunner

This creates a challenge for healthcare marketers who need to generate demand but now have lost their ability to track and report on their campaigns. Building a new way to measure marketing impact To deal with this challenge, a collaborative team at Brunner has started building a system to replace media performance reporting.

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We Expect Humans To Be Accountable. We Should Expect No Less Of AI

Digital Tonto

The age of artificial intelligence requires us to collaborate with machines, leveraging their capabilities to better serve other humans. Machines, just like humans, need to be held accountable, their decisions and insights can’t be a “black box.” Related posts: What Will Humans Do In An Artificially Intelligent World?

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Generative AI, ChatGPT and Large Language Models: A 101

Acuvate

Today, Language Models (LLM) are not only making enterprise decisions and operations efficient and straightforward, but they are also composing prose, poetry, and even generating images! ChatGPT stands out as a powerhouse in the realm of Generative AI. What are Large Language Models (LLM)?

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Applying AI and Machine Learning to Patent Data Analysis

Yet2

Artifical intelligence (AI) and machine learning techniques are changing the world of patent data analysis. These facts make patent data very suitable to be processed with machine learning techniques. These facts make patent data very suitable to be processed with machine learning techniques.

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New Study: 2018 State of Embedded Analytics Report

Read the 6th annual State of Embedded Analytics Report to discover new best practices. Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Brought to you by Logi Analytics.

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Does Artificial Intelligence always make the better decision?

etventure

Big Data, Artificial Intelligence – terms that have dominated the business world for quite some time and which, among other things, provide a large mass of data that not everyone knows how to deal with properly. In this way, human and artificial intelligence can be effectively combined. That sounds exciting.

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Application of advanced analytics and machine learning in the banking industry

hackerearth

According to the Global Banking Outlook 2018 study conducted by Ernst & Young, 60-80% of the banks are planning to increase investment in data and analytics and 40-60% plan to increase investment in machine learning. Analytics and machine learning on their own are mere buzzwords. Impact areas.