CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

CIO Business Intelligence

NOVEMBER 14, 2022

Modern analytics is about scaling analytics capabilities with the aid of machine learning to take advantage of the mountains of data fueling today’s businesses, and delivering real-time information and insights to the people across the organization who need it.

Analytics 102

Analytics Machine Learning Testing Data Strategy 102

CIO Business Intelligence

APRIL 25, 2022

Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down. Strategies intended to solve specific problems have in many cases created technology stacks resembling the Tower of Babel. Aligning data.

Data Architecture 101

Data Architecture Digital Transformation Data-driven Strategy 101

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Data and cloud strategy must align.

Data Architecture 105

Data Architecture Data Integration IoT Strategy 105

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

FEBRUARY 27, 2024

Machine learning analytics – Various business units, such as Servicing, Lending, Sales & Marketing, Finance, and Credit Risk, use machine learning analytics, which run on top of the dimensional model within the data lake and data warehouse.

Data-driven 98

Data-driven Data Lake Data Quality Data Governance 98

Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

IT 108

IT Data Architecture Unstructured Data Big Data 108

CIO Business Intelligence

JUNE 16, 2022

Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture.

IT 127

IT Experimentation IoT Data-driven 127

AWS Big Data

APRIL 19, 2023

However, when a data producer shares data products on a data mesh self-serve web portal, it’s neither intuitive nor easy for a data consumer to know which data products they can join to create new insights. This is especially true in a large enterprise with thousands of data products.

Technology 85

Technology Data-driven Machine Learning Sales 85

CIO Business Intelligence

JUNE 23, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow. Jonathan Takiff / IDG.

IT 83

IT Data Architecture Unstructured Data Big Data 83

Cloudera

NOVEMBER 25, 2021

Access to the same analytics and machine learning services in private cloud and AWS , enabling the movement of workloads and applications without refactoring. Customers are optimising workloads, leveraging analytics and machine learning to ensure greater governance and compliance. . The Power of Two. About the author:

Machine Learning 87

Machine Learning IoT Risk ROI 87

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Build your data strategy around the convergence of software and hardware.

Manufacturing 101

Manufacturing Forecasting IoT Insurance 101

IBM Big Data Hub

NOVEMBER 14, 2022

Being a data-driven organization goes well beyond building a modern data architecture. For CDOs and other leaders within different lines of business, this means fostering a culture that prioritizes data literacy : the ability to read, understand, create and communicate data.

Data-driven 52

Data-driven Visualization Data Architecture Strategy 52

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

Cloudera

AUGUST 22, 2021

And yet, we are only barely scratching the surface of what we can do with newer spaces like Internet of Things (IoT), 5G and Machine Learning (ML)/Artificial Intelligence (AI) which are enabled by cloud. There also needs to be a cloud-first strategy that should have buy-in from upper management. It keeps me going. .

Cost-Benefit 103

Cost-Benefit Strategy IoT ROI 103

Peter James Thomas

MAY 3, 2019

Data Architecture / Infrastructure. When I first started focussing on the data arena, Data Warehouses were state of the art. More recently Big Data architectures, including things like Data Lakes , have appeared and – at least in some cases – begun to add significant value. Data Strategy.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Octopai

APRIL 19, 2021

Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Top 10 sites, videos, or thought leaders that discuss metadata management in 2021.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

AWS Big Data

NOVEMBER 13, 2023

He highlights innovations in data, infrastructure, and artificial intelligence and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future. KEY003 | Swami Sivasubramanian (Vice President, Data and AI at AWS) | Nov.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

TDAN

JULY 20, 2021

They use data better. Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience. How does Spotify win against a competitor like Apple?

Metadata 119

Metadata Machine Learning Data Architecture Data Strategy 119

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 127

Analytics Data Science Statistics Unstructured Data 127

Cloudera

DECEMBER 21, 2020

Known previously as the ‘Data Anywhere’ category, the newly titled ‘Enterprise Data Cloud’ category better represents the move that our customers are making; away from acknowledging the ability to have data ‘anywhere’. West Midlands Police: an inspiring journey into the enterprise data cloud.

Enterprise 93

Enterprise Data-driven Data Architecture Machine Learning 93

Cloudera

SEPTEMBER 8, 2021

CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

Data Lake 75

Data Lake Enterprise Data-driven Data Strategy 75

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

TDAN

AUGUST 1, 2023

I’m sure you’ve heard about things like natural language processing, machine learning, and large language models such as those used by ChatGPT and Google Bard. […]

Machine Learning 52

Machine Learning Modeling Data Architecture IT 52

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Supporting multiple data formats and types to enable enrichment of data assets for different use cases and finally.

Cost-Benefit 78

Cost-Benefit Data Warehouse Data Processing Data Governance 78

AWS Big Data

MARCH 28, 2024

With these frameworks and related open-source projects, you can process data for analytics purposes and BI workloads. Sakti Mishra is a Principal Solutions Architect at AWS, where he helps customers modernize their data architecture and define their end-to-end data strategy, including data security, accessibility, governance, and more.

Optimization 84

Optimization IT Big Data Data Processing 84

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. The DR architecture strategy has the following aspects: One AWS account and two AWS Regions are used for primary and secondary environments.

Data Lake 94

Data Lake Data Processing Metadata Snapshot 94

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

Anmut

MARCH 24, 2022

The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business. How does defining data landscape in this way help your organisation? You must make sure you identify the right data for critical outcomes and make sure it is available and fit for purpose.

ROI 52

ROI Measurement Data-driven Data Transformation 52

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.

Data Lake 82

Data Lake Data Governance Cost-Benefit Machine Learning 82

Alation

MAY 31, 2023

This means that specialized roles such as data architects, which focus on modernizing data architecture to help meet business goals, are increasingly important to support data governance. What is a data architect? Their broad range of responsibilities include: Design and implement data architecture.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

TDAN

AUGUST 6, 2019

Deep learning, as defined by MathWorks, is a system of artificial intelligence that is built around learning by example. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities.

Deep Learning 81

Deep Learning Technology Data Architecture Metadata 81

Alation

DECEMBER 14, 2021

To that end, AWS is making inroads into the analytics and machine learning space. They do this by leveraging this single platform, which integrates with thousands of partners and supports 475 instances to unify data across an enterprise. Get the latest data cataloging news and trends in your inbox. In Conclusion.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

AWS Big Data

OCTOBER 25, 2023

By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. Daniel Bruno is a Principal Resident Architect at AWS.

Unstructured Data 122

Unstructured Data Metadata Management Analytics 122

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 includes tools that do not require advanced technical skill or deep understanding of data analytics to use.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Alation

FEBRUARY 20, 2020

In a nod to AC/DC, a wink to Gartner’s research report, Data Catalogs Are the New Black in Data Management and Analytics , and inspiration from the inaugural Forrester Wave : Machine Learning Data Catalogs , we have temporarily set aside our Alation orange and have been rocking “black” for the Alation MLDC World Tour.

Machine Learning 52

Machine Learning Metadata Reporting Data-driven 52