AIIM

AUGUST 21, 2019

As a result, an organization’s information is its most valuable asset; the common denominator in customer experience, business agility, operational excellence, and automation. Automate governance and compliance. The eBook explores these six key areas to consider: Modernize information infrastructure. Protect information assets.

Digital transformation 103

Digital transformation Records Management Customer Experience Big data 103

Reltio

FEBRUARY 12, 2019

If connected and personalized customer experience is your immediate goal, and if you want to know everything about achieving it, look no further. The master data management platforms are evolving to meet the needs of the digital economy.

MDM 53

MDM Customer Experience Digital transformation Analytics 53

IBM Big Data Hub

JUNE 13, 2024

Executive visibility is key for T-Mobile To ensure the best customer experience, T-Mobile’s C-suite participates in all overarching marketing strategy and marketing campaign decisions. “We are very diligent about governing the platform we have. And it’s critical for us to have clean data in the system.”

Marketing 49

Marketing Customer Experience Analytics Retail 49

IBM Big Data Hub

JUNE 10, 2024

Cloud-based XaaS solutions provide scalability, flexibility and access to a wide range of AI tools and services, while on-premises XaaS offerings enable greater control over data governance, compliance and security.

Cloud 63

Cloud Data science Customer Experience Access 63

IBM Big Data Hub

MAY 6, 2024

But as AI transforms and redefines how businesses operate and how customers interact with them, trust in technology must be built. Securing generative AI starts with governance Not knowing where to start might be the inhibitor for security action too. Advances in AI can free human capital to focus on high-value deliverables.

Security 66

Security Risk Government Compliance 66

IBM Big Data Hub

SEPTEMBER 11, 2023

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge. Netezza SaaS: Transitioning to the cloud has never been easier.

Customer Experience 104

Customer Experience Cloud Data migration Digital transformation 104

Everteam

MAY 6, 2019

In the age of Big Data, capturing, organizing and analyzing all your data is nearly impossible if you are counting on traditional methods. Without having a solution to structure and benefit from this data, you’ll find yourself with mountains of data that you can’t tell what to do with but also are afraid of getting rid of.

Big data 75

Big data Artificial Intelligence Analytics Digital transformation 75

Everteam

MAY 22, 2019

In the age of Big Data , capturing , organizing and analyzing all your data is nearly impossible if you are counting on traditional methods. Without having a solution to structure and benefit from this data, you’ll find yourself with mountains of data that you can’t tell what to do with but also are afraid of getting rid of.

Big data 74

Big data Artificial Intelligence Analytics Digital transformation 74

erwin

AUGUST 20, 2020

In the age of data-driven business, the most common EA use cases are: Digital Transformation. EA helps organizations adapt to and implement new technologies to improve product offerings, the customer experience and services provided. Data Governance. Big Data Adoption.

Big data 140

Big data Artificial Intelligence Risk Digital transformation 140

IBM Big Data Hub

DECEMBER 14, 2023

There has been a lot of recent discussion around the business value of environmental, social and governance (ESG) reporting, and the degree to which it relates to financial performance and other measures of business value.

Customer Experience 66

Customer Experience Marketing Government IT 66

Reltio

MAY 20, 2022

Some additional challenges with legacy MDM are: It doesn’t scale to billions of customer records or 1,000s of profile attributes making it difficult to manage big data volumes. This means more sources, more attributes, more relationships and a deeper/richer 360 degree view of the core data.

MDM 75

MDM Customer Experience Cloud Insurance 75

erwin

JUNE 11, 2020

Data intelligence can take raw, untimely, and incomprehensible data and present it in an aggregated, condensed, digestible, and usable information. Enhance customer experience. Businesses are also able to use such information to provide customers with user-centric customer experience.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

IBM Big Data Hub

NOVEMBER 29, 2023

We’ve seen examples of this in the latest evolution of chatbots.This canhelp businesses optimize their customer experiences, allowing them to quickly extract insights from interactions in their customers’ journey. Promote sharing and reuse while maintaining control and governance.

Artificial Intelligence 84

Artificial Intelligence Unstructured data Analytics Customer Experience 84

IBM Big Data Hub

MAY 31, 2023

Fueled by data, a product can be connected interactively with a broader ecosystem, offering an enhanced customer experience (CX), optimized product performance and services, and an agile supply chain that can deliver new sources of value to the customer. Connected products send and receive lot of data to the cloud.

Manufacturing 88

Manufacturing Cloud Customer Experience Analytics 88

IBM Big Data Hub

MAY 18, 2023

“What these enterprises need,” the report states, “is a platform that can simultaneously enable them to harness the power of AI while enhancing and governing it with well-proven and trusted human business expertise.”

Data science 87

Data science Customer Experience Marketing Cloud 87

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Establish a data governance framework to manage data effectively.

Artificial Intelligence 71

Artificial Intelligence Customer Experience Cloud Government 71

CGI

OCTOBER 14, 2019

The next stage is to identify where you will source the data. Historically, organizations built big data repositories to drive reporting from a consistent view of the data. The other issue with big data is that it contains structured data, whereas AI and analytics can use unstructured data.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

IBM Big Data Hub

JANUARY 19, 2023

They have been exceedingly clear in communicating with consumers what data is collected, why they’re collecting that data, and whether they’re making any revenue from it. They go to great lengths to integrate trust, transparency and risk management into the DNA of the company culture and the customer experience.

Data Privacy 60

Data Privacy Customer Experience Privacy Compliance 60

Collibra

MARCH 18, 2021

Data migrations – When moving large volumes of data to the cloud or to new storage, it’s important to identify missing records, values, and broken relationships across tables or systems. High-performing AI initiatives – Monitoring data drift helps detect accuracy and performance of analytic models over time.

Metadata 59

Metadata Analytics Data migration Government 59

IBM Big Data Hub

MAY 25, 2023

The Center of Excellence (CoE) already has more than 1,000 consultants with specialized generative AI expertise that are engaging with a global set of clients to drive productivity in IT operations and core business processes like HR or marketing, elevate their customer experiences and create new business models.

Artificial Intelligence 99

Artificial Intelligence Marketing Customer Experience Cloud 99

Reltio

DECEMBER 15, 2020

While the latest travel data reflects the dire situation that we face, it is very useful when speaking with Congress, the administration and government leaders about the urgent need to provide relief to our industry now,” the U.S. These are examples of data-driven responsiveness. Reltio also lives by that dictum.

Digital transformation 52

Digital transformation MDM Customer Experience Big data 52

Reltio

OCTOBER 9, 2022

Improve Your Company’s Big Data Management for Increased ROI. quintillion bytes of data is created on the internet every day. Even the data that matters to your business is usually unstructured and disorganized, with lots of duplicates and inaccuracies. What is Big Data? The Five Vs of Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

IBM Big Data Hub

SEPTEMBER 26, 2022

The journey begins with building a data fabric architecture to ensure quality data can be accessed by the right people at the right time, no matter where it resides. The key is making sure all this data is transparent and responsibly governed for privacy and security.

B2C 52

B2C Analytics B2B Digital transformation 52

IBM Big Data Hub

MAY 9, 2022

This architecture is agnostic to data environments, processes, utility and geography, all while integrating end-to-end data-management capabilities. A data fabric automates data discovery, governance and consumption, enabling enterprises to use data to maximize their value chain. Multicloud data integration.

Metadata 56

Metadata Privacy Government Data Privacy 56

IBM Big Data Hub

OCTOBER 30, 2023

Modernizing data warehouse with IBM watsonx.data Modernizing a data warehouse with IBM watsonx.data on AWS offers businesses a transformative approach to managing data across various sources and formats. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Analytics 78

Analytics Retail Cloud Insurance 78

IBM Big Data Hub

JULY 5, 2022

Exxon transforms customer experiences . Nedbank builds a scalable data warehouse architecture . Endless data but your queries aren’t fast enough. Empower real-time decision making and perform heavy computational analysis with built-in ML, insanely fast ingest, and querying of data in motion and at rest.

Analytics 86

Analytics Cloud Access Paper 86

IBM Big Data Hub

DECEMBER 18, 2023

For organizations of all types—and especially those in highly regulated industries such as financial services, government, healthcare and telco—considerations including the rise of generative AI, evolving regulations and data sovereignty laws and ongoing security challenges must be top of mind.

Cloud 63

Cloud Financial Services Compliance Digital transformation 63

IBM Big Data Hub

MARCH 25, 2024

88% said they need an easier way to access approved assets for activation across applications and 79% want to experiment with content, audience, and experience variation to drive customer engagement and the customer experience.

Risk 97

Risk Marketing Customer Experience IT 97

IBM Big Data Hub

FEBRUARY 2, 2022

IDC points out in its 2020 report: “Enterprises across industries and geographies are increasingly adopting AI/ML technologies to enable innovative use cases, improve customer experience, enhance employee experience, and accelerate innovation as part of their digital transformational journeys. Explainability. Robustness.

Marketing 52

Marketing Digital transformation Artificial Intelligence Cloud 52

CGI

FEBRUARY 21, 2017

Customer experience (balancing against risk). Intelligence (or data) also is now a key focus. Until relatively recently, big data and data management were regarded as too big and too difficult to handle. The CDO’s top challenges include: Data quality and governance. Identity theft .

Customer Experience 40

Customer Experience Financial Services Analytics Risk 40

Collibra

JUNE 26, 2019

There are four key reasons why a more strategic approach makes sense: More data privacy regulations are on the way – The first big data privacy regulation was, of course, the EU’s General Data Protection Regulation (GDPR), which came into force in May 2018. CCPA’s deadline is January 1, 2020.

Data Privacy 49

Data Privacy IoT Personal data Privacy 49

Collibra

JUNE 26, 2019

There are four key reasons why a more strategic approach makes sense: More data privacy regulations are on the way – The first big data privacy regulation was, of course, the EU’s General Data Protection Regulation (GDPR), which came into force in May 2018. CCPA’s deadline is January 1, 2020.

Data Privacy 49

Data Privacy IoT Personal data Privacy 49

IBM Big Data Hub

OCTOBER 16, 2023

Such chatbots ensure that customers don’t have to wait, and even large numbers of simultaneous customers can get immediate attention around the clock and, hopefully, a more positive customer experience. Businesses use ML to monitor social media and other activity for customer responses and reviews.

Marketing 48

Marketing Data science e-Discovery Analytics 48

IBM Big Data Hub

SEPTEMBER 20, 2022

Just like IBM’s other clients, ESPN is operating in a highly competitive market, and requires constant innovation to improve the customer experience. They operate behind the scenes, in data centers and back offices. The second reason is more self-serving.

Artificial Intelligence 52

Artificial Intelligence Customer Experience Mining Analytics 52

IBM Big Data Hub

DECEMBER 4, 2023

This approach can accelerate speed-to-market by providing enhanced capabilities for developing innovative products and services, facilitating business growth and improving the overall customer experience in their interactions with the company.

Insurance 53

Insurance Digital transformation Compliance Cloud 53

Collibra

FEBRUARY 11, 2022

Data migrations – When moving large volumes of data to the cloud or to new storage, it’s important to identify missing records, values, and broken relationships across tables or systems. High-performing AI initiatives – Monitoring data drift helps detect accuracy and performance of analytic models over time.

IT 52

IT Analytics Sales Metadata 52

IBM Big Data Hub

JANUARY 18, 2024

They can eliminate prolonged wait times in phone-based customer support and email or live chat support. Chatbots are instantly accessible to multiple users, enhancing the customer experience by promptly addressing their interests and concerns.

Sales 86

Sales Artificial Intelligence Communications Marketing 86