IBM Big Data Hub

DECEMBER 20, 2023

virtual machines, databases, applications, microservices and nodes). Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure. Business acceleration : Harness the latest cloud technologies, such as generative AI and machine learning, to gain a competitive edge.

Strategy 98

Strategy Cost-Benefit Digital Transformation Optimization 98

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. Customers use Redshift ML to run an average of over 10 billion predictions a day within their data warehouses.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

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. This results in both increased ROI and much faster time to market. Today is a revolutionary moment for Artificial Intelligence (AI).

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

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

Sisense

JANUARY 13, 2020

How data enhances product development. Every part of a business generates big Data. We asked Christine Quan, Sisense BI Engineer in sales, how she thinks data helps product development, and she said, Indeed, data enables a company to understand its customers better.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

IBM Big Data Hub

JANUARY 29, 2024

When you can integrate data, tools and processes to manage and optimize various aspects of a data center, automated precision becomes about harnessing technology to run operations with: High accuracy Minimal intervention Consistent performance Predictable outcomes The global data center automation market was valued at $7.6

Data-driven 67

Data-driven Optimization Consulting Technology 67

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Open source solutions reduce risk.

Analytics 109

Analytics Digital Transformation Forecasting Risk 109

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

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

Sisense

DECEMBER 11, 2019

With Itzik’s wisdom fresh in everyone’s minds, Scott Castle, Sisense General Manager, Data Business, shared his view on the role of modern data teams. Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

CIO Business Intelligence

APRIL 12, 2022

Further, the tools and devices available on the market are proprietary and prone to vendor lock-in. That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Complex infrastructure not needed. Setting them up is a byzantine, time-consuming process.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

Smart Data Collective

FEBRUARY 25, 2021

Due to these benefits, the global market for AI is projected to be worth $733 billion by 2027. Today, competition is so rough that every business must be extraordinary in order to survive in the market. Because word of mouth will always be one of the best marketing practices. Do you love your customers?

Software 62

Software Machine Learning Marketing Technology 62

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

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

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. ” – Eddie Castillo, Head of Marketing, ExaVault Inc.

Data-driven 67

Data-driven Cost-Benefit Predictive Analytics Machine Learning 67

IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 74

Manufacturing Technology Internet of Things Cost-Benefit 74

AWS Big Data

FEBRUARY 22, 2023

The AWS Glue Data Catalog stores the metadata, and Amazon Athena (a serverless query engine) is used to query data in Amazon S3. AWS Secrets Manager is an AWS service that can be used to store sensitive data, enabling users to keep data such as database credentials out of source code.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Alation

FEBRUARY 20, 2020

. ; there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” Getting the most from qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

Andrew White

JANUARY 11, 2021

How does CDO overlap with Market Research functions? Do Qual data sources for example text, which tend to live in MR cross into the CDO world? I suspect some of our analysts who cover market research would have insight here. For example, it is possible the CDO is the head of Marketing. This is not how it works though.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52