TeamSupport

JANUARY 4, 2019

Compare this turnaround with the average bank that takes 20 days to do the same thing. You Have Data. Given the role Big Data now plays in every aspect of our lives, it’s a small (online) world after all. Putting your customer data to work is now easier—and more important—than ever. 3) Draw A Map.

B2B 56

B2B Personalization Customer Support B2C 56

Avaya

MARCH 23, 2017

This next-generation CX is supported by several advanced technologies—big data analytics, omnichannel, automation—however, these investments are all aimed at driving one thing: contextualization. But what exactly does the CX consist of, especially in today’s new world of digital business innovation? sales, service, support).

Big data 61

Big data Banking Contact Center Call Center 61

CX Journey

AUGUST 29, 2018

From cloud computing solutions and use of big data to organisational alignment and Bring Your Own Attitude. Gerry also has some typically frank and useful advice on metrics, including why NPS or CES are not enough; you need to think more carefully about metrics and customer insight.

Consulting 34

Consulting Consulting Big data Banking 34

Vistio

OCTOBER 5, 2021

But over time, I moved into banking technology, I rose up the ranks and I ended up running all of the trading technology for a big French bank. And then after that job, I ran European technology for an American bank. I don’t want to get up early and go to the bank every morning.

Chatbots 52

Chatbots Contact Center Banking Technology 52

Talkdesk

APRIL 21, 2017

Our panel of leaders from today’s top on-demand companies covers what makes their customers unique, how to handle all the new data and the difficulties of ensuring success for both service providers and customers. Turning Big Data Into Big Decisions. Speaker: Tomasz Tunguz (Redpoint Ventures).

Contact Center 40

Contact Center Customer centricity Construction Technology 40

Enghouse Interactive

JULY 10, 2018

In the hustling world we live in, the sense of community is exciting in the world of banking. Using the data to understand member journeys creates a bridge by providing behavioral data that is both observable in operations and more predictive of true member needs and wants. Have a 360 degree view of members.

Self service 40

Self service CRM Contact Center Analytics 40

AWS Machine Learning

SEPTEMBER 21, 2022

To achieve this, companies want to understand industry trends and customer behavior, and optimize internal processes and data analyses on a routine basis. When looking at these metrics, business analysts often identify patterns in customer behavior, in order to determine whether the company risks losing the customer. Choose Visualize.

Metrics 80

Metrics Marketing Big data Banking 80

AWS Machine Learning

NOVEMBER 24, 2023

Both the workspace and portal are monitored using Amazon CloudWatch logs, metrics, and alarms to check key performance indicators (KPIs) and proactively notify the platform team of any issues. Marinus Krommenhoek is a Senior Cloud Solution Architect and a Software Developer at BMW Group.

Engineering 72

Engineering Analytics Government Self service 72

AWS Machine Learning

JUNE 24, 2022

The model training step could be either one training job, if the data scientist is aware of the best model configuration, or a hyperparameter optimization (HPO) job, in which AWS defines the best hyperparameters for the model (Bayesian method) and produces the corresponding model artifact.

Enterprise 89

Enterprise Engineering Accountability APIs 89

AWS Machine Learning

JANUARY 26, 2023

SageMaker then determines the best model candidate with the optimal hyperparameters based on the objective metric configured. His knowledge ranges from application architecture to big data, analytics, and machine learning. Hariharan Suresh is a Senior Solutions Architect at AWS.

Finance 74

Finance Engineering Big data Banking 74

Balto

SEPTEMBER 12, 2023

The Need for Understanding Customer Desires in Customer Experience Management A predictive analytics solution collects huge amounts of data across different customer touchpoints and calculates relevant metrics from your customers’ interactions, such as handling time, agent behavior, queue length, and other relevant call center metrics and KPIs.

Customer Experience 52

Customer Experience Customer centricity Coaching Analytics 52