IBM Big Data Hub

FEBRUARY 23, 2024

Some of the most important GDPR principles include the following: All processing must have an established legal basis: Data processing is only acceptable if the organization has an approved legal basis for that processing. Organizations must document the legal basis for every processing operation before beginning.

Measurement 83

Measurement Risk Data Collection Data Processing 83

datapine

SEPTEMBER 29, 2022

Data processes that depended upon the previously defective data will likely need to be re-initiated, especially if their functioning was at risk or compromised by the defected data. These processes could include reports, campaigns, or financial documentation. Feeling optimistic, you expand operations significantly.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

AUGUST 28, 2020

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Good Data Governance? What Is Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

OCTOBER 1, 2020

It allows compliance to not only govern what information can be accessed, but also to audit and have visibility into how the data is actually being accessed – when, by who, through what tools, how much data was viewed, etc. So what does this look like?

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

IBM Big Data Hub

APRIL 11, 2024

In An Overview of Catastrophic AI Risks , the authors identify several mitigations that can be addressed through governance and regulation (in addition to cybersecurity). They identify international coordination and safety regulation as critical to preventing risks related to an “AI race.”

Risk 78

Risk Consulting Modeling Data Processing 78

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. With data lineage, every object in the migrated system is mapped and dependencies are documented.

Cost-Benefit 101

Cost-Benefit Metadata Data Governance Reporting 101

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. Data ingestion must be done properly from the start, as mishandling it can lead to a host of new issues.

Enterprise 80

Enterprise Data Integration Data Quality Contextual Data 80

AWS Big Data

JULY 25, 2023

About Talend Talend is an AWS ISV Partner with the Amazon Redshift Ready Product designation and AWS Competencies in both Data and Analytics and Migration. Talend Cloud combines data integration, data integrity, and data governance in a single, unified platform that makes it easy to collect, transform, clean, govern, and share your data.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

CIO Business Intelligence

AUGUST 16, 2023

But Databricks isn’t the only data platform with its own LLM. John Carey, MD of the technology solutions group at global consulting firm AArete, uses Document AI, a new model now in early release from Snowflake that allows people to ask questions about unstructured documents. You’re directly obligated to protect their privacy.”

Modeling 95

Modeling Enterprise Cost-Benefit Marketing 95

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

AWS Big Data

JANUARY 22, 2024

Discussions with users showed they were happier to have faster access to data in a simpler way, a more structured data organization, and a clear mapping of who the producer is. A lot of progress has been made to advance their data-driven culture (data literacy, data sharing, and collaboration across business units).

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

Domino Data Lab

JULY 2, 2019

The authors of AutoPandas observed that: The APIs for popular data science packages tend to have relatively steep learning curves. People look toward online resources such as StackOverflow to find out how to use APIs when the documentation doesn’t have an example that fits. Instead, program synthesis can address these issues.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Is there a good map that shows the connections between data, advanced analytics, digital, innovation, etc. I would have to admit that there are few documents that talk about all the connections across any set of topics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

JULY 9, 2019

Wiggins advised that data scientists ingest business problems, re-frame them as ML tasks, execute on the ML tasks, and then clearly and concisely communicate the results back to the organization. Here is how we think about the mindset and the toolset of data science at The New York Times. This is a very data sciency crowd.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. Develop a “Data Dictionary”.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

JUNE 21, 2023

But we sat down and fed it contracts and asked it nuanced questions about them: where are the liabilities, where are the risks,” he says. These models will be customized for specific business use cases and maintained by vendors who already know how to manage privacy and risk. hosted in a private Azure cloud. Turbo and GPT 4.0

Cost-Benefit 103

Cost-Benefit Modeling Risk Enterprise 103

CIO Business Intelligence

AUGUST 1, 2023

As many CIOs prepare their 2024 budgets and digital transformation priorities, developing a strategy that seeks opportunities to evolve business models, targets near-term operational impacts, prioritizes where employees should experiment, and defines AI-related risk-mitigating plans is imperative.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Jet Global

FEBRUARY 23, 2024

An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52