ShepHyken
OCTOBER 5, 2021
” About: Daniel Fallmann founded Mindbreeze in 2005 at the age of 23, after he finished his studies in computer science. His passion for enterprise search and machine learning in a big data environment fascinated not only the Mindbreeze employees but also their customers.
CSM Magazine
NOVEMBER 19, 2021
Daniel Fallmann founded Mindbreeze in 2005 and as its CEO he is a living example of high quality and innovation standards. His passion for enterprise search and machine learning in a big data environment fascinated not only the Mindbreeze employees but also their customers.
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AWS Machine Learning
JULY 15, 2024
Yaoqi Zhang is a Senior Big Data Engineer at Mission Cloud. Adrian Martin is a Big Data/Machine Learning Lead Engineer at Mission Cloud. She is also the recipient of the Best Paper Award at IEEE NetSoft 2016, IEEE ICC 2011, ONDM 2010, and IEEE GLOBECOM 2005. Cristian Torres is a Sr.
Beyond Philosophy
NOVEMBER 19, 2020
From that moment on, and this occurred back around 2005, my company links our Customer Experience efforts to proof so that the champions of Customer Experience are not caught out as I was all those years ago in that German conference room. It appeals to me because it uses a data-driven approach. You have to prove it works.
DMG Consulting
AUGUST 31, 2018
In 2005, 13 years ago, I published the book The Real-Time Contact Center. The Next Act: The AI-Enabled Contact Center. My goal in sharing the concepts in this book was to provide a technical and operational framework for anyone who uses this “delivery and service” vehicle for customer assistance or sales. who interact with them.
Xaqt
FEBRUARY 6, 2020
Back in the winter of 2005, Jason Kolb (my cofounder and CTO of Latigent) and I penned an article for Business Management magazine titled BI with an IQ. Rewind it Back Let's take a look back to 2005 when "Web 2.0" Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet.
Connect
NOVEMBER 2, 2022
Automation, big data, CRM (customer relationship management), hybrid systems, cloud, workforce management and predictive analytics have been the driving force for this innovation and have greatly improved how contact centres manage interactions to improve CX (customer experience). By Karl Reed, VP of Solutions at Connect.
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