Customer Interactions

NOVEMBER 6, 2014

Analytics - video, voice, biometrics - have matured over the years, from the Sci-Fi phase where everyone''s expectations were unrealistic, to more practical, and now it seems, back to the future again. As public safety and security operations prepare for an onslaught of Big Data, analytics are taking center stage.

Analytics 29

Analytics Government Big data Education 29

AWS Machine Learning

DECEMBER 21, 2022

Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table. Apache Iceberg is an open table format for very large analytic datasets.

Scripts 77

Scripts Engineering APIs Big data 77

CSM Magazine

MARCH 9, 2021

And since Lobster is a managed service, public sector workers don’t have to worry about managing the technology or fret about how they’ll keep it up to date with the many strict regulations for local government that they must follow. The team at EBI.AI

Automotive 59

Automotive Government Transportation Big data 59

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. These lenses are perfectly possible to build and reconcile with good data governance and the latest AI and analytics tools.

Customer centricity 183

Customer centricity Automotive Finance Marketing 183

CSM Magazine

FEBRUARY 9, 2021

The end of the stamp duty holiday and ambitious government targets for building new homes are set to make for an interesting year. Take the example of Get Living, the largest operator in the UK’s build-to-rent sector. Predictions for the property market in the coming year vary widely. Abbie Heslop at EBI.AI

Self service 59

Self service Marketing Automotive Transportation 59

JustCall

AUGUST 23, 2022

Businesses are rapidly adopting big data, and artificial intelligence, particularly in response to the pandemic’s pressures. For example, the toll-free number for reporting fraudulent activity or contacting emergency services may be toll-free. People often think that virtual numbers can only be useful for big businesses.

Caller satisfaction 52

Caller satisfaction Entertainment Call flow CRM 52

AWS Machine Learning

NOVEMBER 17, 2022

To achieve that, AWS offers a unified modern data platform that is powered by Amazon Simple Storage Service (Amazon S3) as the data lake with purpose-built tools and processing engines to support analytics and ML workloads. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Engineering 66

Engineering Big data Accountability Analytics 66

Eptica

SEPTEMBER 20, 2017

For example, more than 45% of APAC customers rate personalized services among the top three aspects defining better customer experience (CX), while 70% expect organizations to treat them uniquely , according to analysis from Frost & Sullivan. For example, it could be an irrelevant aside, or even part of travel directions (e.g.

Personalization 49

Personalization Customer Experience Analytics Government 49

DMG Consulting

MARCH 1, 2019

I live in a country where I can freely, without fear of persecution, disagree with my government. For example, the days of surveying customers—or over-surveying them—will be in the past, as AI-based solutions will eliminate the need for this activity by observing and understanding customer behaviors and patterns as they happen.

Biotechnology 59

Biotechnology Government Big data Technology 59

CSM Magazine

JANUARY 12, 2021

At EBI.AI, we have spent over six years working closely with our customers to implement conversational AI projects for a wide range of organisations including retail, local government and multi-national enterprises. This means we have learned many valuable lessons and witnessed AI success first-hand. 5 steps to AI success.

Enterprise 52

Enterprise Automotive Average Handle Time Transportation 52

Balto

SEPTEMBER 12, 2023

Harnessing Predictive Analytics for Enhanced CX Utilizing predictive analytics enables you to gain accurate insights about what your customers need and expect from your institution. However, Collecting data about your customers should be done in a way that ensures the proper handling and securing of this data.

Customer Experience 52

Customer Experience Customer centricity Coaching Analytics 52

AWS Machine Learning

JUNE 24, 2022

In the initial phase, the goal is to create a secure experimentation environment where the data scientist receives snapshots of data and experiments using SageMaker notebooks to prove that ML can solve a specific business problem. For example, you could rename the development account to the model training or build account.

Enterprise 94

Enterprise Engineering Accountability APIs 94

AWS Machine Learning

SEPTEMBER 9, 2022

Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model. For example, most models utilized Spark and TensorFlow with GPUs, which required a larger variety of environment configurations.

Engineering 80

Engineering Healthcare APIs Scripts 80

AWS Machine Learning

FEBRUARY 29, 2024

This data is information rich but can be vastly heterogenous. Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. With Knowledge Bases for Amazon Bedrock, you can access detailed information through simple, natural queries.

APIs 118

APIs Healthcare Scripts Enterprise 118

ClearAction

MAY 2, 2016

Other marketing maturity models are holistic, it seems, yet the approach taken is stymied because of moving targets in emerging marketing practices, such as the advent of big data or digital marketing, which weren’t on the horizon of yesteryear. Guidance = Competency development, marketing governance. Who Decides Maturity.

Marketing 62

Marketing Accountability Enterprise Metrics 62

Natalie Petouhof

FEBRUARY 22, 2016

Powerful data analytics. But that wealth of possibilities can be overwhelming to local governments, as public agencies try to find ways to get started with IoT while making the most of limited resources. IoT Can Be Daunting for City Governments. What is An Example of a City That Has Gone Down The IoT Path?

Government 40

Government Wireless Analytics Transportation 40

Xaqt

FEBRUARY 6, 2020

Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. The topics de jour were web services, service orientated architectures (SOA), Computer Telephony Integration (CTI), SIP was coming of age, and analytics for the sake of analytics.

Contact Center 52

Contact Center Enterprise Call Center APIs 52

Clarabridge

MARCH 2, 2017

For example, French hotel group Accor have a ‘thank you score’, the number of social media complaints that are resolved to a point where the customer concludes with a closing expression of gratitude. The Edelman Trust Barometer has measured our trust in institutions, in business, government and media for over 15 years.

Benchmark 49

Benchmark Government Big data Analytics 49

Customer Interactions

JANUARY 30, 2014

I think we’ll see more organizations (particularly in the government/public safety sector) embrace PSIM for this very reason. Advancements in video analytics and system integration have transformed security technology into a business insight tool that can yield a greater ROI for the entire organization. It will soon be a reality.

Big data 33

Big data Education Analytics Government 33

aircall

MAY 24, 2021

In today’s marketplace, it’s hard to survive without the cloud, big data, APIs, IoT, machine learning, artificial intelligence, automation, and mobile technologies. As another example, Capgemini also has an effective digital transformation framework. Organization: structure, governance, roles, etc. Operational backbone.

Best practices 62

Best practices Call Center Technology Analytics 62

Clarabridge

MARCH 2, 2017

For example, French hotel group Accor have a ‘thank you score’, the number of social media complaints that are resolved to a point where the customer concludes with a closing expression of gratitude. The Edelman Trust Barometer has measured our trust in institutions, in business, government and media for over 15 years.

Benchmark 45

Benchmark Government Big data Analytics 45

ClearAction

MAY 16, 2016

Other marketing maturity models cover the whole enchilada, so to speak, yet the approach taken is stymied because of moving targets in emerging marketing practices, such as the advent of big data or digital marketing, which weren’t on the horizon of yesteryear. Guidance = Competency development, marketing governance.

Marketing 54

Marketing Customer Experience Enterprise Metrics 54

Natalie Petouhof

MAY 30, 2017

But for those systems to provide value, companies will need to begin by evaluating their organization’s data maturity, but more importantly their readiness to accomplish its data-driven goals. Company’s need to start with an audit of their data warehousing, data scientific research capabilities, data governance and data hygiene.

Big data 49

Big data Government Engineering Analytics 49

ShepHyken

JULY 8, 2022

For example, a hospital could use an IVR to allow clients to change appointments over the phone. With daily reports of data breaches, today’s consumers are more concerned about the security of their personal information than ever before. Confidentiality is a growing concern of governments and businesses. That’s great.

Omni-channel support 169

Omni-channel support Customer Service Multichannel Interactive Voice Response 169

C3Centricity

SEPTEMBER 24, 2017

His five simple examples brought it home more powerfully than I have ever done before. Looking again at the five examples he gives, there are a number of specific aspects of customer-centricity that are highlighted. There are already many examples of ones which have been helped or radically altered by technology and science.

Technology 48

Technology Transportation Entertainment Customer centricity 48

Amity

JUNE 8, 2016

Other departments are also using different kinds of CRM software to manage their piece of the customer journey: marketing automation, customer support, and project management tools, for example. But, in most cases, all of those systems and the data that sits in them usually stand isolated and alone, used by a single team.

CRM 67

CRM Journey mapping B2C Government 67

AWS Machine Learning

NOVEMBER 24, 2023

This offering enables BMW ML engineers to perform code-centric data analytics and ML, increases developer productivity by providing self-service capability and infrastructure automation, and tightly integrates with BMW’s centralized IT tooling landscape.

Engineering 75

Engineering Analytics Government Self service 75

AWS Machine Learning

JANUARY 6, 2023

Jessie Danqing Cai, Associate Research Director, Big Data & Analytics Practice, IDC Asia/Pacific. The launches included three new capabilities for ML model governance. A new role manager, model cards, and model dashboard simplify access control and enhance transparency to support ML model governance.

Government 73

Government Engineering Big data Marketing 73

AWS Machine Learning

AUGUST 21, 2023

Our customers wanted the ability to connect to Amazon EMR to run ad hoc SQL queries on Hive or Presto to query data in the internal metastore or external metastore (such as the AWS Glue Data Catalog ), and prepare data within a few clicks. This example is a proof of concept demonstration only. Choose Open Studio.

Engineering 87

Engineering Accountability Big data Sales 87

AWS Machine Learning

MARCH 7, 2023

A public GitHub repo provides hands-on examples for each of the presented approaches. Studio notebooks are designed to support you in all phases of your ML development, for example, ideation, experimentation, and operationalization of an ML workflow. Define a Dockerfile.

Management 79

Management Scripts Government Engineering 79

AWS Machine Learning

AUGUST 22, 2023

Usually, if the dataset or model is too large to be trained on a single instance, distributed training allows for multiple instances within a cluster to be used and distribute either data or model partitions across those instances during the training process. We use a VPC peering configuration within the Region in this example.

Scripts 75

Scripts Accountability Transportation Benchmark 75