Leveling is a process that is usually used in negotiations to reach common ground, assuring that the negotiators are on the same page and talking about the same things. This problem is challenging in the tech industry, because we reuse acronyms that don't mean the same things. The same thing occurs when collaborating, because if one side doesn't understand what the other side is saying, the project will flounder or go off track until that problem is corrected. A trained moderator can facilitate this process. Moderators and arbitrators, which are regularly used in negotiations, especially contract disagreements, could also facilitate collaboration efforts, making them far more effective and less time-consuming.

I recently caught up with Andrea Vattani, Co-Founder & Chief Scientist, Spiketrap, to explore the path forward for brands looking to unlock true understanding of their audiences and their communications in the context of the world. Only two months into 2021 and nearing our second year of the pandemic, consumer behavior has changed rapidly and will continue to evolve as we adapt to new ways of life. So, how can brands keep a pulse on their shifting audiences this year and beyond? Andrea Vattani: As people have physically distanced, they've become more digitally connected. Conversations that once took place in-person or on a limited number of channels now sprawl online with increasing velocity.

Cx Moments NLP AI uses BERT and Tensorflow. Trained on millions of customer support interactions across several industry verticals, it understands customer conversations with unmatched accuracy. BERT and Tensorflow are two leading-edge deep-learning and AI technologies. They bring to Cx Moments users a new way of categorizing their customer interactions: AI topics. AI topics use deep learning / ML algorithms, and can reach up to 96% accuracy in understanding what your customers are actually asking or complaining about, in their own words.

Rely on the user behavior data to design and implement Machine Learning algorithms and methods of Natural Language Processing to build smart conversational robots. Make user experience personal, proactive and empathetic.