IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Where did it come from? Where is it now? How has it changed since it was originally created or captured?

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

IBM Big Data Hub

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. There are several styles of data integration.

Cost-Benefit 68

Cost-Benefit Data Integration Data Architecture Manufacturing 68

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

erwin

DECEMBER 12, 2019

Is it sensitive or are there any risks associated with it? The Role of Metadata in Data Governance. As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Where did it come from? Where is it now? How has it changed since it was originally created or captured?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 83

Insurance Risk Data-driven Finance 83

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

Alation

JULY 28, 2022

The cloud is no longer synonymous with risk. There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. What Are the Biggest Drivers of Cloud Data Warehousing? I am not interested in owning that risk internally.” Data quality /wrangling.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

IBM Big Data Hub

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Start a trial. Artificial intelligence (AI) is no longer a choice.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

NOVEMBER 29, 2023

With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis. Neeraja is a seasoned Product Management and GTM leader, bringing over 20 years of experience in product vision, strategy and leadership roles in data products and platforms.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

IBM Big Data Hub

JUNE 21, 2022

A data fabric orchestrates various data sources across a hybrid and multicloud landscape to provide business-ready data in support of analytics, AI and other applications. How IBM built its own data fabric . When I rejoined IBM in 2016, enterprise-level data and its use was having a pivotal moment.

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

BI-Survey

NOVEMBER 23, 2021

The goal is to make business processes faster, more efficient and less vulnerable to risk. Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse. Which data architecture is right for the data-driven enterprise remains a subject of ongoing debate.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Enrichment typically involves adding demographic, behavioral, and geolocation data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

Ontotext

FEBRUARY 26, 2024

Each additional graph use case increases its derived value thanks to reducing costs, adding new capabilities, and minimizing risk. Bad Data Tax and the Data Bill of Rights So far, our discussion has been pretty theoretical, so we need a compelling business justification for moving in this direction.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Andrew White

JANUARY 9, 2022

Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. Much as the analytics world shifted to augmented analytics, the same is happening in data management. A data fabric that can’t read or capture data would not work. This is flat wrong.

Analytics 64

Analytics Measurement Modeling Data-driven 64

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This results in more marketable AI-driven products and greater accountability.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

CIO Business Intelligence

NOVEMBER 14, 2022

Being locked into a data architecture that can’t evolve isn’t acceptable.” For example, one financial services customer needed a better way to quickly find, procure, ingest, and process data provided by hundreds of vendors.

Analytics 110

Analytics Machine Learning Testing Data Strategy 110

Jet Global

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue. Present your business case.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52