CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 95

Data Lake Data Warehouse Machine Learning Cost-Benefit 95

IBM Big Data Hub

SEPTEMBER 12, 2023

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. This information is vital for capacity planning and performance optimization.

Data-driven 67

Data-driven Cost-Benefit Predictive Analytics Machine Learning 67

Smart Data Collective

APRIL 5, 2021

Data science is transforming the way web development and designs are created for more consumer satisfaction. With machine learning and artificial intelligence, web developmental updates can be done automatically, considering the data patterns and user flow. Advantages of Using Big Data for Web Design.

Big Data 107

Big Data IT Data-driven Sales 107

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

Smart Data Collective

FEBRUARY 25, 2021

New machine learning and data analytics tools have made it easier to understand their buying decisions and optimize your funnels, both through your offline and online marketing channels. You can use AI technology to carefully optimize your software applications and ensure they seamlessly match the needs of your business.

Software 62

Software Machine Learning Marketing Technology 62

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: . Technical Impact.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Sisense

JANUARY 13, 2020

Analyzing data from disparate sources to identify relationships between processes, causes, and effects is part of what helps a business hone its product development strategy, manufacturing processes, the marketing and sales of those products, and the logistics of supply chain and delivery.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 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.

Data Lake 94

Data Lake Unstructured Data Management Modeling 94

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

NOVEMBER 29, 2023

This cloud service was a significant leap from the traditional data warehousing solutions, which were expensive, not elastic, and required significant expertise to tune and operate. Since GA, Redshift Serverless executed over a billion queries to power data insights for thousands of customers.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

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. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 75

Manufacturing Technology Internet of Things Cost-Benefit 75

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 60

OLAP Slice and Dice Cost-Benefit Data Warehouse 60

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. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Data Warehouse 107

Data Warehouse Cost-Benefit Machine Learning Modeling 107

IBM Big Data Hub

DECEMBER 20, 2023

For instance, organizations can capitalize on a hybrid cloud environment to improve customer experience, comply with regulations, optimize costs, enhance data security and more. To create a successful cloud migration, organizations should create a workflow that includes comprehensive planning, execution and optimization.

Strategy 98

Strategy Cost-Benefit Digital Transformation Optimization 98

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. Machine Learning and Data Science.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

AWS Big Data

FEBRUARY 22, 2023

The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

SEPTEMBER 29, 2023

By analyzing XML files, organizations can easily integrate data from different sources and ensure consistency across their systems, However, XML files contain semi-structured, highly nested data, making it difficult to access and analyze information, especially if the file is large and has complex, highly nested schema.

Metadata 67

Metadata Visualization Data-driven Optimization 67

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.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

BI-Survey

FEBRUARY 14, 2022

Automate forecasts and projections with predictive methods (statistical methods or machine learning). Automated forecasts require comprehensive data of high quality to create meaningful projections. To make optimal use of predictive technologies, you need the right skills in your company.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. Kyle said: We empower data analysts to create more business value than any other BI platform. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

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

CIO Business Intelligence

APRIL 12, 2022

This takes the sensors closer to the actual goods and improves the quality and adds to the total amount of data, which ultimately enables everyone in the supply chain to make better decisions, so waste is reduced and processes are optimized.”. That brings us to the value of timely data and analytics.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

Andrew White

JANUARY 11, 2021

The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A. Many data science labs are set up as shared services. Do you play SimCity? Imagine running our businesses like that?

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