Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. Data entities are more secure and arguably easier to master than the relational database model, but one downside is there are lots of them! Data Lakes.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models can use language, vision and more to affect the real world.

Risk 70

Risk Modeling Management Metadata 70

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.” ” Watsonx.ai ” Watsonx.ai

Management 79

Management IT Machine Learning Metrics 79

CIO Business Intelligence

APRIL 25, 2024

Cloud cost management remains a critical CIO priority. For CIOs who may need to customize their cloud cost information streams or manage a complex cloud estate, do-it-yourself cloud cost management may be the way to go. And that’s all before considering the need to fuel new AI initiatives , which can push cloud costs up further.

Management 106

Management Optimization Strategy Enterprise 106

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 80

Data Lake Data Governance Cost-Benefit Machine Learning 80

Jet Global

JULY 2, 2019

To address the flood of data and the needs of enterprise businesses to store, sort, and analyze that data, a new storage solution has evolved: the data lake. What’s in a Data Lake? Data warehouses do a great job of standardizing data from disparate sources for analysis. Taking a Dip.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

CIO Business Intelligence

NOVEMBER 29, 2022

Amazon Web Services (AWS) is making a foray into supply chain management with the release of a machine-learning powered cloud application designed to help large enterprises, which often use multiple ERP systems, get a unified view of suppliers, inventory, logistics and other supply-chain related components. AWS will charge $0.28

Management 72

Management Data Lake Machine Learning Visualization 72

AWS Big Data

APRIL 11, 2023

Inventory management is a critical function for any business that deals with physical products. The primary challenge businesses face with inventory management is balancing the cost of holding inventory with the need to ensure that products are available when customers demand them.

Forecasting 75

Forecasting Management IoT Data-driven 75

CIO Business Intelligence

APRIL 25, 2024

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

Data Integration 103

Data Integration Data Lake Metadata Data Warehouse 103

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources. Tags allows you to assign metadata to your AWS resources. View and edit tags.

Data Warehouse 85

Data Warehouse Management Snapshot Data Lake 85

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 84

Machine Learning Modeling Metadata Recreation/Entertainment 84

Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. This is also true that decentralized data management is not new.

Management 67

Management Data Lake Uncertainty Data Warehouse 67

AWS Big Data

MARCH 21, 2024

AWS offers multiple serverless services like Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Data Firehose , Amazon DynamoDB , and AWS Lambda that scale automatically depending on your needs. You’re responsible for managing thousands of modems for an internet service provider deployed across multiple geographies.

Data Lake 96

Data Lake Management Modeling Optimization 96

AWS Big Data

MARCH 25, 2024

Foundation models (FMs) are large machine learning (ML) models trained on a broad spectrum of unlabeled and generalized datasets. This scale and general-purpose adaptability are what makes FMs different from traditional ML models. FMs are multimodal; they work with different data types such as text, video, audio, and images.

Data Lake 89

Data Lake Unstructured Data Management Modeling 89

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 94

Data Governance Unstructured Data Metadata Data Lake 94

Data Virtualization

MARCH 7, 2024

Reading Time: 3 minutes As we move deeper into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies. One thing is clear; if data-centric organizations want to succeed in.

Management 59

Management Data Integration Strategy Data Lake 59

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. Despite being primarily an AWS shop, Rocket has taken a model-agnostic approach to generative AI platforms.

Data Lake 112

Data Lake Machine Learning Data Warehouse Unstructured Data 112

Cloudera

JUNE 6, 2024

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. With adoption growing, organizations need to understand that without good quality and trusted data, there is no way to implement AI.

Contextual Data 82

Contextual Data Data Lake Data-driven Risk 82

CIO Business Intelligence

FEBRUARY 12, 2024

Credo che il change management sia un tema fondamentale, che ogni CIO deve gestire”, afferma Andrea Roero, Chief information officer di Molteni, gruppo di aziende dell’arredo di design Made in Italy. Finora, questi dati restavano non correlati tra loro, gestiti con sistemi e interfacce diversi, tramite fogli Excel e Ppt.

Digital Transformation 81

Digital Transformation Management Business Intelligence Internet of Things 81

Data Virtualization

JANUARY 25, 2024

Reading Time: 3 minutes As we head into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies.

Management 59

Management Data Integration Strategy Data Lake 59

AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Choose Create endpoint.

Data Lake 97

Data Lake Data Warehouse Testing Business Objectives 97

DataKitchen

AUGUST 19, 2021

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. The third set of domains are cached data sets (e.g.,

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 82

Data Lake Data Governance Data Architecture Data Warehouse 82

AWS Big Data

JANUARY 17, 2024

With Amazon EMR 6.15, we launched AWS Lake Formation based fine-grained access controls (FGAC) on Open Table Formats (OTFs), including Apache Hudi, Apache Iceberg, and Delta lake. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake 93

Data Lake Snapshot Big Data Data-driven 93

CIO Business Intelligence

MAY 16, 2024

Its core digital footprint is solid, having been on the cloud for some time, and employing Microsoft Dynamics ERP, HighJump supply chain management, and Orca Security services. At UPS, Parameswaran gained experience developing machine learning models and generative AI applications and plans to exploit that at Baldor when possible.

IoT 80

IoT Internet of Things Digital Transformation Sales 80

IBM Big Data Hub

APRIL 15, 2024

Or we create a data lake, which quickly degenerates to a data swamp. Additionally, these accelerators are pre-integrated with various cloud AI services and recommend the best LLM (large language model) for their domain. Asset Management Gen AI has the power to transform asset management.

Manufacturing 92

Manufacturing Contextual Data Knowledge Discovery Data Lake 92

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 90

Data Quality Data Governance Data Lake Testing 90

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Ontotext

APRIL 10, 2024

Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience. Data Lakes, Data Catalogs, and Findability Organizations approach data lakes as cheap storage. This results in a huge findability challenge.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

CIO Business Intelligence

APRIL 24, 2024

But until there’s a change in corporate will and the CIO’s vision combines with other management to drive a full-scale project, success can only be measured by the strength of the corporate culture. “I The goal is to correlate all types of data that affect assets and bring it all into the digital twin to take timely action,” says D’Accolti.

Digital Transformation 92

Digital Transformation Business Intelligence Unstructured Data Data Lake 92

AWS Big Data

JULY 20, 2023

A metastore is a critical part of a data lake, and having this information available, wherever it resides, is important. However, many AWS analytics services don’t integrate natively with the Hive metastore, and therefore, organizations have had to migrate their data to the AWS Glue Data Catalog to use these services.

Data Lake 80

Data Lake Metadata Data Processing Big Data 80

CIO Business Intelligence

JULY 26, 2023

Empowering agents with data Re/Max’s Ligon, who previously served as CIO of Prudential Real Estate and Berkshire Hathaway Home Services, oversees a cloud estate that includes Oracle Financials, Personify for membership management, and Inside Real Estate, a third-party industry SaaS platform tailored for brokers and agents.

Data Lake 92

Data Lake Digital Transformation Machine Learning Data Architecture 92

AWS Big Data

NOVEMBER 10, 2023

As a result of utilizing the Amazon Redshift integration for Apache Spark, developer productivity increased by a factor of 10, feature generation pipelines were streamlined, and data duplication reduced to zero. These tables are then joined with tables from the Enterprise Data Lake (EDL) at runtime. options(**read_config).option("query",

Data Processing 92

Data Processing Data Lake Data Warehouse Optimization 92

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 125

Data Architecture Data Warehouse Statistics Visualization 125

CIO Business Intelligence

MAY 23, 2022

Many companies whose AI model training infrastructure is not proximal to their data lake incur steeper costs as the data sets grow larger and AI models become more complex. The cloud is great for experimentation when data sets are smaller and model complexity is light.

Experimentation 121

Experimentation Cost-Benefit Data Lake Data Science 121

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. I was literally just waiting for commercial availability [of LLMs] but [services] like Azure Machine Learning made it so you could easily apply it to your data. “The

Digital Transformation 86

Digital Transformation Machine Learning Data Lake Software 86

CIO Business Intelligence

APRIL 4, 2024

So he was recruited to create a 20-year vision to establish a client-centered case management system to replace the “on-premise computer closets that was called a data center,” he says. Another model transcribes video into natural language processing to save time for defenders.

Digital Transformation 111

Digital Transformation Data Lake ROI Modeling 111