Smart Data Collective

APRIL 15, 2020

However, some people have been misled into believing that big data enables them to create high quality websites without any experience. Big data can do a lot of things, but it doesn’t enable you to create websites without any expertise. This is simply not the case. At least, that’s how it seems at first glance.

Big Data 96

Big Data Machine Learning Cost-Benefit Advertising 96

Cloudera

JANUARY 13, 2021

In recognition of its efforts towards driving digital transformation, UOB won the “Business Transformation” and “Data for Enterprise AI” categories over the last two consecutive years. As an organisation, UOB has proven its fundamental understanding that the future is data-driven.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: .

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. Adopt an approach of access segregation.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

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. Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. versions).

Data Lake 95

Data Lake Unstructured Data Management Modeling 95

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. Data Gets Meshier. Hub-Spoke Enterprise Architectures.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. Today we have one of the most comprehensive portfolios of enterprise AI solutions available. Watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 105

Data Warehouse Data Lake Analytics Machine Learning 105

Grooper

AUGUST 19, 2019

Traditional data sources like end of month statements and quarterly reports are no longer enough. Access to enterprise-wide information fuels analytics solutions and enable a new approach for decision making. Applied analytics Business analytics Machine learning and data science. What is data science?

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

IBM Big Data Hub

DECEMBER 20, 2023

AWS, Google Cloud Services, IBM Cloud, Microsoft Azure) makes computing resources—like ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms—available to users over the public internet. shifting legacy apps to the cloud).

Strategy 105

Strategy Cost-Benefit Digital Transformation Optimization 105

AWS Big Data

MARCH 27, 2024

This means you can seamlessly combine information such as clinical data stored in HealthLake with data stored in operational databases such as a patient relationship management system, together with data produced from wearable devices in near real-time. About the Authors Saeed Barghi is a Sr. Satesh Sonti is a Sr.

Data Analytics 96

Data Analytics Analytics Data Warehouse Data Lake 96

IBM Big Data Hub

JUNE 14, 2023

artificial intelligence (AI) applications, the Internet of Things (IoT), robotics and augmented reality, among others) to optimize enterprise resource planning (ERP), making companies more agile and adaptable. What’s the biggest challenge manufacturers face right now?

Manufacturing 79

Manufacturing Technology Internet of Things Cost-Benefit 79

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. Success factors for data governance.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Sisense

DECEMBER 11, 2019

Similarly, Kyle outlined how Flexport , the world’s first international freight forwarder and customs brokerage built around an online dashboard, uses Periscope Data to analyze billions of records, and get answers in seconds. Kyle said: We empower data analysts to create more business value than any other BI platform.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Ontotext

AUGUST 4, 2023

A data fabric utilizes an integrated data layer over existing, discoverable, and inferenced metadata assets to support the design, deployment, and utilization of data across enterprises, including hybrid and multi-cloud platforms. It lowers data management costs by eliminating silos and reducing integration complexity.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Smart Data Collective

MARCH 22, 2023

An enormous amount of data is produced in an industry like the maritime industry, which manages many people and cargo. And data is everything in the twenty-first century. Data enables commercial decision-makers to base their choices on facts, statistical data, and trends.

Big Data 92

Big Data Advertising Data-driven Data Science 92

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

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 70

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 70

Alation

FEBRUARY 20, 2020

But, enterprises have still failed to realize the ROI. One reason is because traditional data governance models conform to an old world of analytics that focus on controlling data access and fail to succeed in the free-flowing world of self-service reporting, BI, and analytics. [2] -->. Subscribe to Alation's Blog.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52