Beyond Philosophy

JULY 4, 2016

I’m capitalizing the first letter of each word because the pervasiveness of digital transformation has all the feel of Big Data a few years ago and Reeingineering in the 1990’s. Digital innovation in banking can be seen in the transformative way people transact and organize their finances.

Banking 225

Banking Customer centricity Big data Finance 225

NobelBiz

APRIL 30, 2024

The development of AI in customer service began with simple automated systems and has evolved into sophisticated AI solutions capable of handling complex queries with a human-like understanding. This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics.

Call Center 105

Call Center Chatbots Virtual Agent Contact Center 105

NobelBiz

APRIL 30, 2024

The development of AI in customer service began with simple automated systems and has evolved into sophisticated AI solutions capable of handling complex queries with a human-like understanding. This evolution has been driven by advancements in machine learning, natural language processing, and big data analytics.

Call Center 104

Call Center Chatbots Virtual Agent Contact Center 104

Anexa BPO

SEPTEMBER 5, 2021

Data science, advanced analytics, AI-enabled technology….these What do they mean, how do they tie into a customer-centric world and exactly where can robust BPO (outsourcing) companies fit? One of the ways that these specialized “big data” processes can be used is to improve customer experience.

outsourcing 52

outsourcing Customer centricity Finance Analytics 52

Peter Lavers

NOVEMBER 16, 2017

The automotive sector, for example, is in an unprecedented period of market and legislation-driven disruption in its brands, products, markets, fuels, financing, taxation / charging – and channels & media. Pretty much everything described so far has been about what businesses “do” for and to our customers.

Customer centricity 183

Customer centricity Automotive Finance Marketing 183

Calabrio

MARCH 30, 2016

While data science is becoming critical, it’s not necessary to hire a team of scientists—software is becoming more and more sophisticated to help achieve the same results. But that’s just skimming the surface of how data can be used to drive results. Making data science an imperative at a company may be a cultural challenge.

Analytics 40

Analytics contact center workforce Contact Center Engineering 40