Analytics, Customer Experience, Security and Unstructured data

Elevate human potential with Cloud Editions (CE) 24.2

OpenText Information Management

APRIL 15, 2024

Let's explore these world-class innovations further: Innovations in OpenText Aviator OpenText™ Analytics & AI Aviator: The metamorphic impact of AI and analytics cannot be overstated. This scalable solution not only powers analytics at lower costs but it also has a positive environmental impact with 50% fewer servers needed.

Cloud

Cloud Analytics Digital transformation Customer Experience

Elevate human potential with Cloud Editions (CE) 24.2

OpenText Information Management

APRIL 15, 2024

Let's explore these world-class innovations further: Innovations in OpenText Aviator OpenText™ Aviator Platform : The metamorphic impact of AI and analytics cannot be overstated. This scalable solution not only powers analytics at lower costs but it also has a positive environmental impact with 50% fewer servers needed.

Cloud

Cloud Analytics Digital transformation Customer Experience

How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

Analytics

Analytics Retail Cloud Insurance

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

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Driving new revenue streams through artificial intelligence and advanced analytics

CGI

OCTOBER 14, 2019

Driving new revenue streams through artificial intelligence and advanced analytics. For more than 50 years, banks have relied on computers and software to manage and secure their data, as well as protect their customers’ interests. Foundational steps in adopting AI and advanced analytics. ravi.kumarv@cgi.com.

Artificial Intelligence

Artificial Intelligence Analytics Customer Experience Big data

TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

MAY 19, 2023

According to the research, organizations are adopting cloud ERP models to identify the best alignment with their strategy, business development, workloads and security requirements. Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center.

Cloud

Cloud Unstructured data Customer Experience Manufacturing

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

CGI

OCTOBER 31, 2018

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI. The 2018 CGI Client Global Insights reveal that utilities recognize data as the new “digital capital.” What’s holding utilities back from delivering the benefits of data?

Energy and Utilities

Energy and Utilities Analytics Digital transformation Customer Experience

The 7 most common data quality issues

Collibra

SEPTEMBER 9, 2022

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. Ambiguous data. Hidden data.

Analytics

Analytics Customer Experience Marketing Unstructured data

How to Improve Your Big Data Management

Reltio

OCTOBER 9, 2022

With the advent of big data processing, organizations can translate that data into knowledge that improves decision-making, performance and business processes. The ever-growing field of big data has presented both opportunities and challenges for businesses across a wide range of industries. Challenges in Managing Big Data.

Big data

Big data MDM Unstructured data Analytics

The most valuable AI use cases for business

IBM Big Data Hub

FEBRUARY 14, 2024

There’s no need to make customers wait for the answers to frequently asked questions (FAQs) or to take the next step to purchase. And digital customer service agents can boost customer satisfaction by offering advice and guidance to customer service agents. See what’s ahead AI can assist with forecasting.

Artificial Intelligence

Artificial Intelligence Retail Unstructured data Insurance

The 7 most common data quality issues

Collibra

JUNE 25, 2021

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. Ambiguous data. Hidden data.

Analytics

Analytics Customer Experience Unstructured data Metadata

8 Best Practices for Getting the Most From Master Data Management

Reltio

JANUARY 28, 2021

It also powers your real-time operations across digital channels and human interactions such as call center and sales so you can deliver omnichannel connected customer experiences and boost NPS scores. What data you use, how you structure it, and who can access it all hinges on preserving data quality in legacy MDM systems.

MDM

MDM Customer Experience Marketing Government

Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

SEPTEMBER 22, 2021

Part 1 discussed the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how they are affecting business users and customers. Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain.

Digital transformation

Digital transformation Content services IT e-Discovery

Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

AUGUST 4, 2023

Employees and leaders need to trust the data is accurate, know how to access it, as well as how it could be applied to business problems. In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used.

Analytics

Analytics Artificial Intelligence Digital transformation Access

Information Management Today

Elevate human potential with Cloud Editions (CE) 24.2

Elevate human potential with Cloud Editions (CE) 24.2

Webinars

Trending Sources

How IBM and AWS are partnering to deliver the promise of AI for business

Webinars

Driving new revenue streams through artificial intelligence and advanced analytics

TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

Utilities Digital Journey Insights (Part 3): Data, the new “digital capital” - Going beyond the hype of advanced analytics and AI

The 7 most common data quality issues

How to Improve Your Big Data Management

The most valuable AI use cases for business

The 7 most common data quality issues

8 Best Practices for Getting the Most From Master Data Management

Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

Data democratization: How data architecture can drive business decisions and AI initiatives

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