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

JANUARY 26, 2024

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. AWS is architected to be the most secure global cloud infrastructure on which to build, migrate, and manage applications and workloads.

Best practices 124

Best practices Government Engineering Accountability 124

AWS Machine Learning

MARCH 23, 2023

Homomorphic encryption is a new approach to encryption that allows computations and analytical functions to be run on encrypted data, without first having to decrypt it, in order to preserve privacy in cases where you have a policy that states data should never be decrypted.

Scripts 97

Scripts APIs Government Analytics 97

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

Hero Digital

FEBRUARY 20, 2020

This, in a nutshell, is prescriptive analytics. For a long time, the field of data and analytics was focused on describing what happened — how many customers bought the product, what they looked like, how many came back, etc. With the advent of advanced ML algorithms, analytics has now entered the prescriptive phase.

Big data 52

Big data Analytics Enterprise Government 52

Avaya

MAY 9, 2017

It means enterprise leaders having a firm grip on the big data that infuses their organizations. Meanwhile, automation and data analytics have evolved from luxuries to enterprise necessities. It requires executive buy-in, sponsorship, and steady leadership. The reality of a smart, digital world is clear. The bad news?

Customer Experience 76

Customer Experience Government Big data Enterprise 76

JustCall

AUGUST 23, 2022

Businesses are rapidly adopting big data, and artificial intelligence, particularly in response to the pandemic’s pressures. You can turn on things like simultaneous ringing, call recording, analytics, and more. People often think that virtual numbers can only be useful for big businesses.

Caller satisfaction 52

Caller satisfaction Entertainment Call flow CRM 52

Peter Lavers

NOVEMBER 16, 2017

You also have access to fantastic tools such as IBM Watson’s cognitive technology, which are helping unscramble big data and complex customer journeys in a way that’ll never be achieved with brown paper and post-it notes! The 21 st century organizational design needs three P&L lenses – product, channel, and customer.

Customer centricity 183

Customer centricity Automotive Finance Marketing 183

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 75

Scripts Engineering APIs Big data 75

ClearAction

APRIL 3, 2015

CX governance structure: what does the company need, according to the organization and customers? Keep up-to-date through the ClearAction newsletter: Originally published on IBM Big Data & Analytics Hub. Customer Experience Governance: Do This, Not That. —@Lynn_Teo. " —@thecxguy.

Customer Experience 121

Customer Experience Employee engagement Government Big data 121

DMG Consulting

MARCH 1, 2019

I live in a country where I can freely, without fear of persecution, disagree with my government. Once this occurs, companies will be able to focus on delivering the products and services that customers want and need without having to dedicate so much time and so many resources on protecting customer data.

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

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. Predictions for the property market in the coming year vary widely. Property companies will continue to focus on customer service as a differentiator. . Abbie Heslop at EBI.AI

Self service 59

Self service Marketing Automotive Transportation 59

Natalie Petouhof

FEBRUARY 24, 2016

Big Data & Analytics. particulates and provide insightful analytics on air quality. Global companies are setting up GICs to harness new technologies such as social, mobile, analytics and cloud. Waterline Data Science , a leading provider of data discovery and data governance software.

Government 40

Government Consulting Consulting Analytics 40

Eptica

SEPTEMBER 20, 2017

Two factors are key to doing this successfully: Firstly, respect privacy and ensure data is being used to improve the experience – according to Gartner, almost half of U.S. Secondly, put in place the ability to analyze this big data, and use it in a timely, effective manner. Manual means are simply not enough.

Personalization 49

Personalization Customer Experience Analytics Government 49

Aspect

DECEMBER 27, 2017

RFPs for chatbots have arisen in verticals as diverse as banking, government, healthcare, and retail. In 2018, we should see much better integration with customer data and analytics, bringing customer history, behavioral patterns, and big data into chatbot interactions.

Chatbots 116

Chatbots Contact Center Interactive Voice Response Enterprise 116

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. Striking a Balance: Data Security and Customer Convenience Customer convenience shouldn’t come at the expense of compromised data security.

Customer Experience 52

Customer Experience Customer centricity Coaching Analytics 52

Natalie Petouhof

FEBRUARY 20, 2016

Private sector companies are not—and should not be—an arm of government or law enforcement. Can the government force Facebook to create software that provides analytic data on who is likely to be a criminal? Can the government force Google to provide the names of all people who searched for the term ISIL?

Customer Experience 40

Customer Experience Government Analytics Big data 40

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 115

APIs Healthcare Scripts Enterprise 115

Natalie Petouhof

JUNE 9, 2015

Organizations lack leadership and governance for experience management success. Evolve commerce with interaction and behavior pattern analytics by putting big data to work. Strive for unity among channel connectivity. Use predictive insights to deliver real-time, optimized responses.

Management 68

Management CRM Government Big data 68

SmartKarrot

MARCH 3, 2022

In today’s age of big data, no business can dream of being successful without being data-driven. For any business to be successful it has become imperative to be data-driven. These data come from customers, clients, internal processes, and other stakeholders. The responsibilities of a Chief Data Officer includes –.

Government 10

Government Chief Customer Officer Analytics Big data 10

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. Organization: structure, governance, roles, etc. Partnerships and alliances: provision for tools, analytics, capturing data, etc.

Best practices 62

Best practices Call Center Technology Analytics 62

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.

Marketing 62

Marketing Accountability Enterprise Metrics 62

ClearAction

JUNE 8, 2015

Originally published on IBM Big Data & Analytics Hub. Customer Experience Governance: Do This, Not That. After all, studies have shown that sports team-like coordination among the managers of various aspects of customer experience yields stronger business results. We all want to win with customers.

Customer Experience 94

Customer Experience Chief Customer Officer Customer centricity Employee engagement 94

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

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.

Big data 33

Big data Education Analytics Government 33

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

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. Therefore, it is a priority for companies receiving this data to protect and process this information responsibly. .

Omni-channel support 168

Omni-channel support Customer Service Multichannel Interactive Voice Response 168

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

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 73

Engineering Analytics Government Self service 73

C3Centricity

SEPTEMBER 24, 2017

“I believe there will come a moment in time where I would say we have sufficient adoption of these alternative products … to start envisaging, together with governments, a phase-out period for cigarettes.”. Andre Calantzopoulos, CEO of Philip Morris International, recently declared in a Radio 4 interview that.

Technology 48

Technology Transportation Entertainment Customer centricity 48

SmartKarrot

JANUARY 12, 2021

With the growth of technology, the healthcare sector has adopted highly sophisticated technologies like Big data, electronic health/medical record (EHR/EMR) in their software products. With Big Data, predicting the course of a disease using the genetic makeup of a patient has become realistic.

Healthcare 10

Healthcare Best practices SaaS Customer centricity 10

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 71

Government Engineering Big data Marketing 71

SmartKarrot

APRIL 17, 2023

Evaluate the chatbot’s features: Evaluate the features and capabilities of the chatbot, such as natural language processing, machine learning, integrations with messaging platforms, and reporting and analytics. Choose a chatbot that has the features and capabilities that align with your business needs.

Chatbots 10

Chatbots Scripts Enterprise Personalization 10

ClearAction

APRIL 18, 2015

Data can be insightful to all of the roles HR takes on in facilitating the company’s CX goals. 60% of companies are now investing in big data and analytics to make HR more data driven. Hiring: Data can help determine common characteristics that define the "right fit" —@AlexConde.

Customer Experience 96

Customer Experience Employee engagement Big data Analytics 96

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. Isha Dua is a Senior Solutions Architect based in the San Francisco Bay Area.

Engineering 85

Engineering Accountability Big data Sales 85

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 65

Engineering Big data Accountability Analytics 65