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

Peter Lavers

JULY 17, 2017

Here are four reflections that I believe to be seismic changes from working with clients and colleagues in this field over this historic decade, sharing the joys and pain of championing the customer-centric agenda in business. Product-centric business models are dying. Insight dependency and democratisation.

Customer Experience 182

Customer Experience Customer centricity Management Automotive 182

AWS Machine Learning

FEBRUARY 18, 2025

About the Author Carlos Contreras is a Senior Big Data and Generative AI Architect, at Amazon Web Services. Carlos specializes in designing and developing scalable prototypes for customers, to solve their most complex business challenges, implementing RAG and Agentic solutions with Distributed Data Processing techniques.

APIs 70

APIs Engineering Metrics Big data 70

Cincom

JANUARY 31, 2025

The travel industry has embraced digital tools to revolutionize the customer journey, making planning faster, easier, and more efficient. Companies use advanced technologies like AI, machine learning, and big data to anticipate customer needs, optimize operations, and deliver customized experiences.

CRM 40

CRM Analytics Automotive Technology 40

NobelBiz

DECEMBER 19, 2023

Brad Dashnaw, CEO – Shift Marketing Brad Dashnaw is the CEO of one of the top companies in the Digital Marketing space for Higher Education and Automotive Companies with over 4,000+ succesful clients. Overcoming these challenges ensures a more efficient, responsive, and customer-centric contact center environment.

Call Center 105

Call Center Management Contact Center Wait times 105

AWS Machine Learning

NOVEMBER 7, 2024

We explored multiple big data processing solutions and decided to use an Amazon SageMaker Processing job for the following reasons: It’s highly configurable, with support of pre-built images, custom cluster requirements, and containers. Customer-centric Pricing: Maximizing Revenue Through Understanding Customer Behavior.”

Engineering 103

Engineering Automotive Finance Government 103