Category: Contextual Artificial Intelligence

Individual artificial intelligence: A new technology that will change our world

“Our consciousness is everything. You become what you think about.” Buddha In the few minutes that you are reading this article,…

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There is a little Buddha in everybody, and that Buddha is in the form of Siddhartha

Do you know who Siddhartha is? Before Buddha became Buddha he was Siddhartha. He was wandering, lost. He had tried…

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Contextual AI: The Next Big Trend in Content Management

The increasing use of artificial intelligence (AI) topped most lists of tech trends to watch in the content management market…

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XAI (EXplainable AI) – A Contextual Introduction

Data science is not just about solving business problems mathematically but it is also about telling a story to stakeholders. It is a joy when one can draw out the “OOHs” and “AAHs” as mental bulbs warmly glow into existence as the results of an analysis are understood. More often than not, such storytelling is not possible when one bakes algorithmic outputs into products.

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Contextual AI: The Answer To Our Mis-Managed Recruitment Processes

Applicant tracking systems (ATSs) and recruiting management systems (RMSs) are the two AI-infused approaches to modern talent management that have gaps and limits. However, while AI-based platforms are critical for innovative outlooks to talent management, their implementation is fraught with difficulty. For example, a recent study by Harvard Business School (HBS) and Accenture discovered that due to the way the tracking systems are connected, over 10 million workers are eliminated from consideration. Similarly, according to a recent Wall Street Journal article, current talent management systems are operating as intended, screening millions of resumes for keywords and phrases that match job descriptions while excluding many qualified candidates.

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