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The new dawn of Machine Learning

Intercom, Inc.

In the past five years, we’ve seen neural network technology really take off into its own. We wanted to know what’s up with this surge, so we’ve asked our Director of Machine Learning, Fergal Reid , if we can pick his brain for today’s episode. ML teams tend to invest a fair share of resources in research that never ships.

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Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. At Intercom, we have taken advantage of these technologies relatively early. However, for smaller companies interested in delivering successful ML products, a lean approach can bring a lot of rewards.

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Future of Machine Learning: Ways ML and AI Will Drive Innovation & Change

Customer Think

By 2022, the global ML market is expected to be worth $8.81 It’s not a surprise that Artificial Intelligence (AI) and Machine Learning (ML) are two of the top buzzwords in today’s technological world. But, how will the two technologies create innovation and change in the near future?

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25 examples of NLP & machine learning in everyday life

Callminer

NLP, ML and AI are everywhere in everyday life, and most people have encountered these technologies in action without even being aware of it. This blog shares 25 examples of NLP and ML.

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Ethical Considerations of Using AI and Machine Learning in CRM

Customer Think

With the advent of Artificial Intelligence (AI) and Machine Learning (ML), CRM has become even more powerful, providing deeper insights and more personalized experiences. However, integrating AI and ML into CRM systems raises several ethical concerns. Addressing these concerns is […]

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Enhancing Enterprise Software Capabilities with AI and Machine Learning

Customer Think

Both Artificial intelligence (AI) and machine learning (ML) are losing their futuristic status to becoming an essential part of […] The software is designed to automate processes, manage information, and support different enterprise functions. Nonetheless, the enterprise software landscape is changing significantly.

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Enhancing The Precision of ML Models with Human-in-the-Loop Data Annotation

Customer Think

Machine Learning (ML) is significantly transforming the way we utilize technology. However, the expansive usage of Artificial Intelligence (AI) and Machine Learning has made these tech-driven systems prone to the limitations of AI and ML models.

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