IBM Big Data Hub

JULY 12, 2023

Generative AI is changing the game Generative AI can be applied to an array of use cases, such as sorting and classifying written input, transforming domain-specific text into personalized summaries, identifying and extracting essential information from unstructured data, and generating code, marketing content and more.

Unstructured data 60

Unstructured data Government Compliance Marketing 60

AIIM

FEBRUARY 27, 2020

You may not know that we developed a 4-day Email Management class in 2008 or a 2-day Social Media Governance course in 2011. ECM (Specialist and Master) This course focuses on management of unstructured data using content repositories. How Often are AIIM's Training Courses Updated?

ECM 116

ECM Records Management Metadata Information governance 116

Archives Blogs

NOVEMBER 16, 2018

The need to accelerate deployment of Artificial Intelligence (AI) by executive branch agencies also requires the development and retention of human expertise, according to Dr. Deborah Frincke, Director of Research at the National Security Agency (NSA).

Unstructured data 26

Unstructured data Artificial Intelligence Government Communications 26

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. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Analytics 87

Analytics Retail Cloud Insurance 87

IBM Big Data Hub

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

Data science 61

Data science Big data Analytics Mining 61

Collibra

AUGUST 7, 2020

It is because they foster more agile data operations, cut through siloed architectures and unlock the potential of artificial intelligence and machine learning to drive new trusted business insights. . It is important to note that processing unstructured data typically yields outputs that are structured by nature.

Cloud 81

Cloud Government Unstructured data Analytics 81

ARMA International

SEPTEMBER 22, 2021

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. Information Governance (IG). Discussions of IG often lead to a discussion of data governance (DG) and whether the two are different.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

SEPTEMBER 7, 2023

As we apply the technology more widely across areas ranging from customer service to HR to code modernization, artificial intelligence (AI) is helping increasing numbers of us work smarter, not harder. It’s an exciting time in AI for business.

Artificial Intelligence 107

Artificial Intelligence Unstructured data Risk Compliance 107

Collibra

JULY 27, 2022

Data intelligence combines factors from data quality and governance to metadata management. It gleans ‘intelligence’ from metadata, allowing companies to understand the intricacies of their data to unleash its true value. What’s Data Intelligence?

Metadata 52

Metadata Artificial Intelligence Analytics Unstructured data 52

OpenText Information Management

APRIL 15, 2024

The next generation of innovation will be driven by artificial intelligence (AI) and firmly rooted in effective information management. Information holds unparalleled power, however, with AI, change is imperative, and success will favor those who swiftly embrace, accelerate, and reimagine work.

Cloud 96

Cloud Analytics Digital transformation Customer Experience 96

OpenText Information Management

APRIL 15, 2024

The next generation of innovation will be driven by artificial intelligence (AI) and firmly rooted in effective information management. Information holds unparalleled power, however, with AI, change is imperative, and success will favor those who swiftly embrace, accelerate, and reimagine work.

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. . government on the U.S.

Unstructured data 52

Unstructured data Artificial Intelligence Paper Communications 52

Reltio

OCTOBER 9, 2022

Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Big data management involves understanding the 5Vs of big data and using the right tools, technologies, people and processes to manage it effectively. Challenges in Managing Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

Analytics 81

Analytics Cloud Unstructured data Libraries 81

IBM Big Data Hub

JANUARY 16, 2024

Businesses are increasingly embracing data-intensive workloads, including high-performance computing, artificial intelligence (AI) and machine learning (ML). Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations.

Energy and Utilities 97

Energy and Utilities IT Cloud Unstructured data 97

CGI

OCTOBER 31, 2018

Their maturity falls dramatically for all other levels of intelligent automation, as defined in CGI’s framework , including more advanced levels of algorithmic automation, machine learning and artificial intelligence (AI). Setting up a sand box to test the value of use cases of multiple integrated data sources shows promise.

Energy and Utilities 40

Energy and Utilities Analytics Digital transformation Customer Experience 40

erwin

MARCH 26, 2020

There are three technological advances driving this data consumption and, in turn, the ability for employees to leverage this data to deliver business value 1) exploding data production 2) scalable big data computation, and 3) the accessibility of advanced analytics, machine learning (ML) and artificial intelligence (AI).

Unstructured data 90

Unstructured data Artificial Intelligence Analytics Access 90

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Analytics 66

Analytics Artificial Intelligence Digital transformation Access 66

Brandeis Records Manager

SEPTEMBER 19, 2016

When we consider that fixed, controlled records following recordkeeping principles and information governance are typical objectives in our programs, it’s not unreasonable to get a little scared by this. A recent Iron Mountain US government employee survey cited the skills gaps that need to be closed by tomorrow’s info pro.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62