TDAN

APRIL 6, 2021

Machine learning model…. Deploying a Machine Learning model to enhance the quality of your company’s analytics is going to take some effort: – To clean data– To clearly define objectives– To build strong project management Many articles have been […]. Cloud deployment strategies….

Machine Learning 52

Machine Learning Management Strategy Modeling 52

O'Reilly on Data

JULY 3, 2019

The O'Reilly Data Show: Ben Lorica chats with Jeff Meyerson of Software Engineering Daily about data engineering, data architecture and infrastructure, and machine learning. Their conversation mainly centered around data engineering, data architecture and infrastructure, and machine learning (ML).

Machine Learning 44

Machine Learning Data Architecture Data Processing Software 44

Cloudera

MAY 30, 2024

Christian Simonelli, of TAI Solutions : One of Italy’s major banks, working with TAI, reorganized their existing data lifecycle management processes to explore advanced machine learning scenarios, streaming analytics, and data lineage capabilities.

Data Analytics 83

Data Analytics Risk Management Digital Transformation Analytics 83

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 128

Data Architecture Data Warehouse Statistics Visualization 128

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. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. Introduction to Data Mesh. See the pattern?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. It isn’t easy.

Machine Learning 134

Machine Learning Cost-Benefit Data-driven Strategy 134

Cloudera

JUNE 3, 2024

It integrates seamlessly with our recently launched AI Registry , a central hub for storing, organizing, and tracking machine learning models throughout their lifecycle.

Optimization 74

Optimization Enterprise Data Architecture Modeling 74

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Andries has over 20 years of experience in the field of data and analytics.

Data Lake 94

Data Lake Snapshot Metadata Data Architecture 94

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 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

DataKitchen

NOVEMBER 29, 2021

Data Gets Meshier. 2022 will bring further momentum behind modular enterprise architectures like data mesh. The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains managed by smaller, cross-functional teams.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 306

IT Data Architecture Big Data Data Processing 306

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 86

Strategy Data Architecture Cost-Benefit Reporting 86

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 95

Data-driven Data Lake Data Quality Data Governance 95

DataKitchen

MAY 10, 2021

Advanced firms: Experiment, learn, and continuously improve the effectiveness of your IDB applications; leverage the power of machine learning (ML) to automate apps and processes to scale your IDB capabilities even further. We also recommend establishing a DataOps COE or Dojo.

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

IBM Big Data Hub

OCTOBER 16, 2023

By looking critically at these examples, and at successes in overcoming bias, data scientists can begin to build a roadmap for identifying and preventing bias in their machine learning models. Policy orchestration within a data fabric architecture is an excellent tool that can simplify the complex AI audit processes.

Advertising 69

Advertising Machine Learning Data Architecture Cost-Benefit 69

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

CIO Business Intelligence

JULY 26, 2023

The CIO delights in detailing the work of Re/Max’s technology team, which is building the pipelines and cloud-native applications to deliver agents in the field the most refined and insightful data from more than 500 MLS listing serivces in the US and Canada as quickly as possible. Data Management, Digital Transformation, Machine Learning

Data Lake 95

Data Lake Digital Transformation Machine Learning Data Architecture 95

Cloudera

JUNE 7, 2022

We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures.

IT 115

IT Data Architecture Unstructured Data Big Data 115

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 82

Data Lake Data Governance Data Architecture Machine Learning 82

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration. This integration is currently in limited preview, use this link to request access.

Data Warehouse 92

Data Warehouse Data-driven Machine Learning B2B 92

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cost-Benefit 91

Cost-Benefit Data Architecture Risk IoT 91

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

Unstructured Data 64

Unstructured Data Data Lake Data Warehouse Machine Learning 64

CIO Business Intelligence

MAY 20, 2022

Modernizing a utility’s data architecture. These capabilities allow us to reduce business risk as we move off of our monolithic, on-premise environments and provide cloud resiliency and scale,” the CIO says, noting National Grid also has a major data center consolidation under way as it moves more data to the cloud.

IT 96

IT Digital Transformation Internet of Things Data Architecture 96

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

JUNE 24, 2022

Your data architecture should also include the common data models of VSM tools to yield a holistic view,” Higgins said. Some of the other approaches include prioritizing cloud platforms to change technical architecture in a way to support business innovation, and embracing cloud-native to accelerate cloud modernization.

Modeling 96

Modeling Digital Transformation Data Architecture Data-driven 96

Cloudera

SEPTEMBER 8, 2022

for machine learning), and other enterprise policies. With the volumes of data in telco accelerating with the rapid advancement of 5G and IoT, the time is now to modernize the data architecture. .

Data Governance 82

Data Governance B2B Data Architecture IoT 82

CIO Business Intelligence

JUNE 23, 2022

We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures. Jonathan Takiff / IDG.

IT 78

IT Data Architecture Unstructured Data Big Data 78

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 82

Technology Data-driven Machine Learning Sales 82

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. At AWS re:Invent, we announced support for LLMs as preview.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

DataKitchen

DECEMBER 30, 2020

DataKitchen provides an end-to-end DataOps platform that automates and coordinates people, tools, and environments in the entire data analytics organization—from orchestration, testing, and monitoring to development and deployment. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

Testing 241

Testing Big Data Statistics Manufacturing 241

Ontotext

DECEMBER 1, 2023

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Consulting Enterprise 78

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 80

Management Metadata Data Architecture Data Lake 80

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. This is especially true regarding our one-to-many, producer-to-consumer relationships on our data architecture.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

TDAN

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security. (..)

Internet of Things 98

Internet of Things IoT Machine Learning Data Processing 98

CIO Business Intelligence

NOVEMBER 22, 2022

To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems. It’s about making the data architecture data centric. They can do this by using data to ensure that they match supply with demand. It’s not just improving interfaces.

Digital Transformation 131

Digital Transformation Sales Machine Learning Optimization 131

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 88

Data Architecture Risk Management Risk Management 88

Data Virtualization

JANUARY 17, 2023

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key.

Data Architecture 52

Data Architecture Data Integration Management Metadata 52