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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. Did you know?? But, how will the two technologies create innovation and change in the near future? Do you have […].

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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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Top Positive and Negative Impacts of AI & ML on Cybersecurity

Customer Think

Undoubtedly the line holds to disruptive technologies, including AI and ML. You might have heard only praise and good things about AI and ML, but that does not mean that they cannot become a bitter […]. With great power comes great responsibilities- it is the most iconic phrase written by Stan Lee and popularized by Spider-Man.

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3 Ways AI and ML Can Take Your Customer Experience to the Next Level 

Execs In The Know

Are artificial intelligence (AI) and machine learning (ML) buzzwords or a practical reality for your contact center? AI/ML can transcribe calls, track customer sentiment, detect common issues and customer trends, or even pinpoint discrepancies—such as a price promotion in an email that doesn’t match the promotion on the website.

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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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Celebrus Announces Significant Enhancements in the Realm of AI and ML

Customer Think

New Version Brings Bot Detection, New ML Models, Profile Builder for Generative AI

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

Intercom, Inc.

This post is based on that talk, and details our journey from early experimentation to release, as well as some valuable lessons we learned about how to implement machine learning (ML) in a real-world product. However, for smaller companies interested in delivering successful ML products, a lean approach can bring a lot of rewards.