erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. With erwin, organizations can: 1.

Metadata 104

Metadata Big data Government Mining 104

erwin

MAY 7, 2020

The Value of Data Architecture. We’re working in a fast-paced digital economy in which data is extremely valuable. Those that can mine it and extract value from it will be successful, from local organizations to international governments. Good data leads to better understanding and ultimately better decision-making.

Sales 131

Sales Mining Communications Big data 131

IBM Big Data Hub

AUGUST 15, 2022

How does a data architecture impact your ability to build, scale and govern AI models? To be a responsible data scientist, there’s two key considerations when building a model pipeline: Bias: a model which makes predictions for people of different group (or race, gender ethnic group etc.) Data risk assessment.

Mining 60

Mining Data science Risk IT 60

AIIM

JUNE 30, 2020

The issues and strategies that organizations will face with content management are further morphed by the coming tidal wave of big data and analytics. AIIM believes that Information Management and Information Governance should NOT be done just for the sake of doing them. Start with CONTENT? Start with PROCESS? –Is

ECM 232

ECM Content services Paper Information architecture 232

OpenText Information Management

SEPTEMBER 16, 2024

There is plenty of data available to help make this happen as “machines now generate one million times more information in one day than all humans on this planet do in an entire year.” In this sector, the ratio of gross plant, property, and equipment (aka. billion by 2027. GenAI : Predictive machine analytics at scale.

Energy and Utilities 111

Energy and Utilities e-Delivery Analytics Mining 111

IBM Big Data Hub

APRIL 20, 2023

All are transforming their procurement operations by leveraging state-of-the-art process mining and intelligent automation technology. Along with defining and operationalizing the right level of governance across organizational layers for efficient value orchestration and continuous improvement.

Mining 66

Mining Financial Services Digital transformation Retail 66

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

eSecurity Planet

JANUARY 21, 2021

Governance, risk, and compliance (GRC) software helps businesses manage all of the necessary documentation and processes for ensuring maximum productivity and preparedness. Third-party governance. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files.

Compliance 58

Compliance Risk Government Retail 58

Data Matters

MAY 4, 2021

Many companies hope to benefit from amassing large amounts of data by mining it for market insights, creating internal business models, and supporting strategic, data-driven decisions. Done properly, data de-identification can minimize risks to privacy interests—e.g., litigation discovery obligations.

Mining 74

Mining Privacy Data Privacy Data breaches 74

eSecurity Planet

AUGUST 11, 2022

Essentially, we are securing an app at scale with enormous requirements for stored data, incoming data, data interactions, and network connections. Given the importance of “Big Data” analytics and applications to a company’s financial performance, securing data lakes is a critical priority for security teams.

Security 124

Security Encryption Cloud Access 124

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Data science 54

Data science Big data Analytics Mining 54

CGI

JANUARY 10, 2018

They could also capture the household recycling data, add data visualizations, and sell or share that to other companies, local governments or environmental agencies. Another example could be cities taking advantage of data from cars, which are becoming an important information hub, to improve planning, traffic and maintenance.

Mining 78

Mining Big data Access Insurance 78

Information is Currency

FEBRUARY 17, 2017

Companies Still Struggle With Information Governance, Survey Finds. Despite years of talking about information governance and compliance, less than half of companies surveyed have a compliance culture — and many companies apparently have no governance strategy at all. The Need for Information Governance Has Never Been Greater.

MDM 40

MDM Big data Information governance Analytics 40

Thales Cloud Protection & Licensing

DECEMBER 11, 2018

As I was starting to write this blog, yet another retail program data breach occurred, for Marriott’s Starwood loyalty program. In this case, it looks as though the attackers had been on the Starwood network for somewhere around three years, mining out their reservations database (keep in mind that Marriott only acquired Starwood in 2016 ).

Retail 66

Retail Data breaches Encryption Mining 66

Everteam

JULY 11, 2019

The world is leaning towards digital transformation and automated processes in its government transactions, aiming to improve the communication between citizens and public institutions. Being a world-class software vendor, Everteam developed a data analysis program that reviews data from various public and private institutions.

Digital transformation 40

Digital transformation Artificial Intelligence Analytics Big data 40

IBM Big Data Hub

APRIL 12, 2022

Governance with a focus on transparency to instill trust. A data-literate culture. IBM’s data strategy aligns to revenue growth in 2021. By doing so, the data fabric significantly improves the productivity of data engineering tasks, accelerates time-to-value for the business, and simplifies compliance reporting.

Compliance 75

Compliance Cloud Mining Government 75

Collibra

MARCH 12, 2024

The term “advanced analytics” gained widespread recognition in the fields of data analysis and business intelligence (BI) during the early 2000s. Today, advanced analytics encompasses a broad array of techniques and methodologies used to extract deep insights from data.

Analytics 52

Analytics Mining Metadata Big data 52

IBM Big Data Hub

DECEMBER 13, 2023

From symmetric to asymmetric cryptography to hash functions and beyond, ensure data and mainframe security with end-to-end encryption tailor made to meet your business needs. The applications of cryptography are endless.

Encryption 99

Encryption Passwords Authentication Security 99

IBM Big Data Hub

APRIL 4, 2024

Workflows can be established that govern the movement of goods from supplier to customer. Workflows can be established that govern each stage of the procurement lifecycle, from sourcing to payment. Workflows that govern each stage of the product lifecycle, from ideation to retirement can be standardized.

Compliance 54

Compliance Mining Risk Government 54

eSecurity Planet

JANUARY 21, 2021

Governance, risk, and compliance (GRC) software helps businesses manage all of the necessary documentation and processes for ensuring maximum productivity and preparedness. Third-party governance. Like other competitive GRC solutions, it speeds the process of aggregating and mining data, building reports, and managing files.

Compliance 68

Compliance Risk Government Retail 68

IBM Big Data Hub

MARCH 14, 2024

This is supported by automated lineage, governance and reproducibility of data, helping to ensure seamless operations and reliability.    IBM and AWS have partnered to accelerate customers’ cloud-based data modernization strategies.

Analytics 75

Analytics Cloud Metadata Government 75

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

Analytics 77

Analytics Retail Cloud Insurance 77

IBM Big Data Hub

DECEMBER 16, 2022

And to increase your return on AI and automation investments, organizations should consider automated processes, methodologies, and tools that manage an organization’s use of AI through AI governance. You can use data to completely digitize your organization with automation and AI. A workflow engine to automate digital workflows.

Analytics 52

Analytics Mining Access Data Privacy 52

Collibra

NOVEMBER 18, 2021

Yes, the ancient pyramids relied not only on labor and raw materials, but on data collection and analysis. . Data collection is what we do. Today, we think of Big Data as a modern concept. Cloud storage, text mining and social network analytics are vital 21 st century tools.

IT 52

IT Data collection Analytics Military 52

IBM Big Data Hub

JANUARY 17, 2024

When it comes to data security , the ancient art of cryptography has become a critical cornerstone of today’s digital age. From top-secret government intelligence to everyday personal messages, cryptography makes it possible to obscure our most sensitive information from unwanted onlookers.

Communications 81

Communications Security Encryption Blockchain 81

IBM Big Data Hub

JULY 17, 2023

These models have been trained on IBM curated datasets that have been mined to remove hateful, abusing and profane text (HAP). IBM watsonx.data is a fit-for-purpose data store built on an open lakehouse architecture. It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud.

Analytics 62

Analytics Data science Cloud Metadata 62

IBM Big Data Hub

DECEMBER 13, 2023

From symmetric to asymmetric cryptography to hash functions and beyond, ensure data and mainframe security with end-to-end encryption tailor made to meet your business needs. The applications of cryptography are endless.

Encryption 79

Encryption Passwords Authentication Security 79

Thales Cloud Protection & Licensing

JULY 24, 2018

These statistics indicate data breaches remain pervasive within the federal government, and that the current methods being used to secure agency data are not working as effectively as they could. There also appears to be some confusion over how to best protect critical data. The alternative?

Encryption 48

Encryption Cloud Data breaches Government 48

IBM Big Data Hub

SEPTEMBER 20, 2022

So we’re also using the natural language processing capability of Watson Discovery to mine insights from millions of blogs, articles and podcasts produced by media experts (see here to learn more ). They operate behind the scenes, in data centers and back offices. But the numbers don’t always tell the whole story.

Artificial Intelligence 52

Artificial Intelligence Customer Experience Mining Analytics 52

IBM Big Data Hub

SEPTEMBER 11, 2023

watsonx.data integration At Think, IBM announced watsonx.data as a new open, hybrid and governed data store optimized for all data, analytics, and AI workloads. It is built on open data lakehouse architecture and brings together the commodity Cloud Object Store, open data/table formats and open-source query engines.

Analytics 85

Analytics Cloud IoT Paper 85

IBM Big Data Hub

JANUARY 26, 2024

Data centers, hospitals, government facilities and more use solar power to supplement energy needs. For example, mining uses water in remote locations to aid in extractions and textile and chemical manufacturers may use on-site hydropower systems to power processes such as washing, fabrication, sanitation and more.

Energy and Utilities 69

Energy and Utilities Manufacturing Agriculture Artificial Intelligence 69

Brandeis Records Manager

FEBRUARY 21, 2015

The book, translated from Japanese to English, reads like rather quaint, Emily Postian, self-help prose, and it is no info governance (IG) monograph. Kondo is “an organizing consultant and author.”

Records Management 46

Records Management Paper FOIA Record destruction 46

IBM Big Data Hub

APRIL 15, 2024

Virtualization layer abstraction and developer benefits Advantage: The virtualization layer in the data platform acts as an abstraction layer. They can focus on designing the core logic of their models without getting bogged down in data management complexities. We are here to help you at every step of your data virtualization journey.

Analytics 64

Analytics Artificial Intelligence Marketing Access 64

IBM Big Data Hub

DECEMBER 15, 2023

Governments like the U.S. Its simple setup, reusable components and large, active community make it accessible and efficient for data mining and analysis across various contexts. Through the AI Alliance, companies like Meta and IBM advocate for open-source AI, emphasizing open scientific exchange and innovation.

Libraries 64

Libraries Artificial Intelligence Education Access 64

CILIP

OCTOBER 8, 2019

Now we are in a place where Big Data and Artificial Intelligence (AI) are the ideas that are set to launch the next big thing. New conference, ConTech, which takes place in December and is in its second year aims to capitalise on the buzz about data and AI for anyone working with content ? Relating change to users.

e-Delivery 40

e-Delivery Libraries Data science Artificial Intelligence 40

IBM Big Data Hub

JUNE 10, 2024

If those 200 billion CPUs currently in existence were all distributed equitably by persons—and none were devoted to business, government or scientific applications—there would be exactly 25 CPUs serving as the brain of the computer for each human brain on the planet. Early computers required vast floor space and vacuum tubes.

Computer and Electronics 64

Computer and Electronics Energy and Utilities Manufacturing Analytics 64

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data science 53

Data science Artificial Intelligence Paper Compliance 53